Debug an Issue: start from error message and reproduction steps

Begin debugging with "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", then make reproduction steps, error evidence, hypothesis order, and verification command easy to inspect before the answer is saved or shared.

Start with the right jobUse this workflow when your note, output, and switch point line up.

First move: The debugging answer is not useful until the user can point to the line that proves actual error output, code behavior, and passing verification, name the reviewer, or mark the claim as still unchecked.
Keep after run: The saved debugging result should show why this debug an issue page was the right fit for debugging, not a generic role prompt that could sit on any neighboring page.
Wrong page signal: Wrong page signal: switch to ChatGPT Prompts for Developers if the user cannot supply error message, reproduction steps, recent changes, environment, and expected behavior, if the desired result is not a debugging plan, or if reproduction steps, error evidence, hypothesis order, and verification command is no longer the controlling choice.

First usable run

Start with the note you actually have1/3 ready

A realistic example is loaded. Try the flow once, then clear it and paste your own working notes.

Next stepFinish the run setup2 items still need context before this becomes reusable.

Current note

Paste source notesMust keepDo not allow

PrepareSource noteReal notes are loaded.
RunCopy run prompt2 checks before copy.
ReviewReview answerCurrent choice: Repair.
SaveSave reusable version0/3 save checks closed.

Keep working laterPage work stays on this device until you save it.

Try the sample firstSee one messy note become a usable debug an issue run

Messy input: The debugging reviewer first sees a rough note: "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." is the rough request. A teammate checking debugging should be able to see it: a teammate should be able to read a debugging plan, spot reproduction steps, error evidence, hypothesis order, and verification command, find the checker, and verify this boundary: verify against the actual codebase and test results before using.
Better answer should: An acceptable debugging shape would return a debugging plan split into reader-ready copy, open questions, and reviewer notes; make the supported lines easy to separate from assumptions and blanks, identify the person who owns the last pass and the item they inspect, prepare debug log with reproduction and hypothesis rows, and give the human reviewer a pass/fail look at debugging plan quality, reproduction steps and error evidence, and codebase verification.
Human edit: Before saving debugging plan work, keep the usable structure from the first pass, move guesses into hypotheses and require reproduction evidence before fixes, keep sensitive details out of the reusable prompt, and write the reusable copy in a way a code reviewer, teammate, maintainer, or future self can act on; recheck the wording against "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and preserve this final standard: the final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed.

Fix before reuse2 gaps before reuseCopy can start the first pass, but the answer is not reusable until these checks are closed.

Separate facts from assumptionsMark which must-keep details came from the user and which details still need a person to check them.
Name the checker and stop ruleLet a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self. must know what to reject before the answer is reused.

Real note: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.
What will change: Start by pasting the rough note, then replace the variables that control audience, source material, and the reviewer for debugging plan quality, reproduction steps and error evidence, and codebase verification.
Human check: Source review, debug an issue: the answer uses the supplied error message, reproduction steps, recent changes, environment, and expected behavior and does not fill missing facts with confident guesses.

Open run previewCheck the exact prompt before copying.

Run prompt preview

Copy this after checking the notes

Task: ChatGPT Prompts for Developers to Debug an Issue
Who checks it: Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.

Paste source notes:
Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.

Must keep:
Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.
error message, reproduction steps, recent changes, environment, and expected behavior
reproduction steps, error evidence, hypothesis order, and verification command

Do not allow:
Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.
Reject it when a debugging plan is missing, vague, or buried under explanation.

Readiness before copy:
- Separate facts from assumptions: Mark which must-keep details came from the user and which details still need a person to check them.
- Name the checker and stop rule: Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self. must know what to reject before the answer is reused.

Run prompt:
Run this evidence-aware working copy prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: [source_material]. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: [audience]. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: [task_focus]. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: [goal]. Constraints: [constraints]. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to [source_material], and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as the first usable version: use the supplied fields, label assumptions, and produce the main artifact.
Stop rule: Stop if the request asks you to invent facts, evidence, credentials, numbers, or private details.
Return a technical checklist with hypotheses, steps, risks, and verification commands.
Before writing a debugging plan, ask up to 3 clarifying questions when [source_material] does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on [review_lens]. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should get a working version they can inspect against the supplied notes.

Stop rule: Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.
Record to keep: Attach a handoff note that names the original note, the prompt variables that changed the answer, the section that still needs debugging plan quality, reproduction steps and error evidence, and codebase verification, and the final reason the accepted version can become debugging prompt pattern with source notes, constraints, and review checklist.

Open answer reviewUse this after ChatGPT returns the first answer.

After ChatGPT answers

Check the answer before saving it

Check against: Source review, debug an issue: the answer uses the supplied error message, reproduction steps, recent changes, environment, and expected behavior and does not fill missing facts with confident guesses. Output shape, debug an issue: the result clearly becomes a debugging plan, not broad advice about the task.
Reject if: Evidence issue, debug an issue: the answer invents or overstates actual error output, code behavior, and passing verification. Task drift, debug an issue: it ignores reproduction steps, error evidence, hypothesis order, and verification command and moves into a neighboring workflow.
Keep after run: Attach a handoff note that names the original note, the prompt variables that changed the answer, the section that still needs debugging plan quality, reproduction steps and error evidence, and codebase verification, and the final reason the accepted version can become debugging prompt pattern with source notes, constraints, and review checklist.

Open first answer choiceChoose accept, repair, or reject only after review.

First answer choice

Pick accept, repair, or reject before reuse

After the first debug an issue answer, the developer should choose Accept, Repair, or Reject before saving anything as debugging prompt pattern with source notes, constraints, and review checklist. The choice must compare "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." with a technical checklist with hypotheses, steps, risks, and verification commands, reproduction steps, error evidence, hypothesis order, and verification command, and actual error output, code behavior, and passing verification.

Choose when: Choose Repair when the answer has a useful shape but loses one of the required pieces: reproduction steps, error evidence, hypothesis order, and verification command, actual error output, code behavior, and passing verification, the reviewer role, the source note, or the reusable fields needed for debugging prompt pattern with source notes, constraints, and review checklist.
Do next: Ask ChatGPT for a second pass that keeps the usable structure, rewrites only the weak sections, adds missing support questions, and returns a debugging plan in a technical checklist with hypotheses, steps, risks, and verification commands without inventing details.
Keep after run: Keep the weak answer beside the repair note, mark which line failed debugging plan quality, reproduction steps and error evidence, and codebase verification, and save the corrected line only after it can be traced back to "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.".

Answer choice prompt

Repair this debug an issue answer instead of accepting it. Source note: "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." Weak answer: [paste_chatgpt_output_here]. Preserve any useful structure, but fix the parts that hide reproduction steps, error evidence, hypothesis order, and verification command, turn actual error output, code behavior, and passing verification into unsupported certainty, or skip the reviewer for debugging plan quality, reproduction steps and error evidence, and codebase verification. Return a repaired a technical checklist with hypotheses, steps, risks, and verification commands, a list of changed lines, and one remaining question before this can become debugging prompt pattern with source notes, constraints, and review checklist.

Do not save a reusable debugging prompt pattern with source notes, constraints, and review checklist until one option has a written choice. The saved version must keep "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." as the example, turn private or one-time details into variables, and keep the risk check "verify against the actual codebase and test results before using" visible for the next run.

Open run logRecord what happened after each ChatGPT run.

Run notes

Save the answer, problem, and next try

Use this after the first answer. A reusable prompt improves when each run records what failed and what to try next.

Answer returnedProblem foundNext try

0No run notes yet
Run the prompt once, review the answer, then save the problem and next try here.

Open saved versionTurn the reviewed answer into a reusable saved version.

Saved version

Save the final answer, human edit, and variables

Save only after review. The reusable version needs the answer, the human edit, and the reuse rule in one place.

Final answerHuman editReusable variables

Saved version preview

Final saved version for: ChatGPT Prompts for Developers to Debug an Issue
Who checks it: The human owner who approves the final packet for Developers to Debug an Issue before it is saved, shared, or reused.
Use or revise before saving: Repair

Save only after review:
- Source review, debug an issue: the answer uses the supplied error message, reproduction steps, recent changes, environment, and expected behavior and does not fill missing facts with confident guesses.
- Attach a handoff note that names the original note, the prompt variables that changed the answer, the section that still needs debugging plan quality, reproduction steps and error evidence, and codebase verification, and the final reason the accepted version can become debugging prompt pattern with source notes, constraints, and review checklist.
- Record the pasted note, the fields that shaped the answer, the debugging plan quality, reproduction steps and error evidence, and codebase verification check, and the final use note for a code reviewer, teammate, maintainer, or future self.
- Current answer choice: Keep the weak answer beside the repair note, mark which line failed debugging plan quality, reproduction steps and error evidence, and codebase verification, and save the corrected line only after it can be traced back to "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.".

Source note used:
Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.

Final answer:
An acceptable debugging shape would return a debugging plan split into reader-ready copy, open questions, and reviewer notes; make the supported lines easy to separate from assumptions and blanks, identify the person who owns the last pass and the item they inspect, prepare debug log with reproduction and hypothesis rows, and give the human reviewer a pass/fail look at debugging plan quality, reproduction steps and error evidence, and codebase verification.

Human edit:
Before saving debugging plan work, keep the usable structure from the first pass, move guesses into hypotheses and require reproduction evidence before fixes, keep sensitive details out of the reusable prompt, and write the reusable copy in a way a code reviewer, teammate, maintainer, or future self can act on; recheck the wording against "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and preserve this final standard: the final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed.

Reusable variables:
[source_material]: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: a code reviewer, teammate, maintainer, or future self
[goal]: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: verify against the actual codebase and test results before using

Reuse rule: Keep this debugging pattern only after private details are removed, one-time facts become variables, move guesses into hypotheses and require reproduction evidence before fixes, and the review rule for reproduction steps, error evidence, hypothesis order, and verification command still appears in the reusable prompt. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.
Stop if: Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.

First run setup

Set up the first run

Edit notes

First move: Start by pasting the rough note, then replace the variables that control audience, source material, and the reviewer for debugging plan quality, reproduction steps and error evidence, and codebase verification.
Bring first: Bring the rough case note: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.
Switch if: The user cannot provide error message, reproduction steps, recent changes, environment, and expected behavior and would need ChatGPT to invent the important facts.
Keep after run: Attach a handoff note that names the original note, the prompt variables that changed the answer, the section that still needs debugging plan quality, reproduction steps and error evidence, and codebase verification, and the final reason the accepted version can become debugging prompt pattern with source notes, constraints, and review checklist.

Choose where you areGo to runner

Go to runnerWithin five minutes, the user should have a first debugging prompt pattern with source notes, constraints, and review checklist, one copied run prompt, and a reviewer check that keeps debugging plan quality, reproduction steps and error evidence, and codebase verification and actual error output, code behavior, and passing verification visible before sharing anything. Start with: Start by pasting the rough note, then replace the variables that control audience, source material, and the reviewer for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Go to runner

Open switch notesWhat to bring, who checks it, and when to change workflows.

Who checks it

Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.

Check before using

Inspect error message, reproduction steps, recent changes, environment, and expected behavior, the case note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", and any open support around actual error output, code behavior, and passing verification; the answer should keep supplied notes, assumptions, and needs-checking points separate.

Compare later

Result debugging developers check: open the top results and record whether they solve the task, not only a prompt phrase.

Visitor question: I have error message, reproduction steps, recent changes, environment, and expected behavior and need a debugging plan for a code reviewer, teammate, maintainer, or future self; can this debug an issue page turn "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." into a technical checklist with hypotheses, steps, risks, and verification commands without hiding reproduction steps, error evidence, hypothesis order, and verification command?
5-minute outcome: Within five minutes, the user should have a first debugging prompt pattern with source notes, constraints, and review checklist, one copied run prompt, and a reviewer check that keeps debugging plan quality, reproduction steps and error evidence, and codebase verification and actual error output, code behavior, and passing verification visible before sharing anything.
Wrong page signal: This is the wrong page if the work is closer to ChatGPT Prompts for Developers, if reproduction steps, error evidence, hypothesis order, and verification command is not the controlling choice, or if the user only wants broad ideas instead of a reviewable a debugging plan.
Why this workflow fits: Save the rough note, the accepted prompt variables, the debugging query language, and the section that shows why this a debugging plan should stay separate from ChatGPT Prompts for Developers.
Reuse choice: Reuse the output only when the answer traces back to error message, reproduction steps, recent changes, environment, and expected behavior, respects the risk check "verify against the actual codebase and test results before using", and gives a code reviewer, teammate, maintainer, or future self a clear accept, repair, or reject path.

Wrong page? ChatGPT Prompts for DevelopersReturn to the role guide to choose by situation, output, and reviewer.

Working brief

Check the job before copying

This workflow earns its own place because the source has to become a debugging plan, and the acceptance test is whether a code reviewer, teammate, maintainer, or future self can use it without guessing the missing pieces.

Use this when: The page is for the moment when developers have enough notes to create a debugging plan, but still need a choice about reproduction steps, error evidence, hypothesis order, and verification command.
Paste this kind of note: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.
Expected result: An acceptable debugging shape would return a debugging plan split into reader-ready copy, open questions, and reviewer notes; make the supported lines easy to separate from assumptions and blanks, identify the person who owns the last pass and the item they inspect, prepare debug log with reproduction and hypothesis rows, and give the human reviewer a pass/fail look at debugging plan quality, reproduction steps and error evidence, and codebase verification.
Stop before reuse if: Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.
Human check: Source review, debug an issue: the answer uses the supplied error message, reproduction steps, recent changes, environment, and expected behavior and does not fill missing facts with confident guesses.

Bring first: Bring the rough case note: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.
Build when: Use this when the notes are ready and the next useful output is a technical checklist with hypotheses, steps, risks, and verification commands, not more brainstorming.
Stop if: Stop if the answer hides missing context, blurs assumptions, or cannot trace key claims back to the notes.
Save when: Copy the external review checklist, record what changed, and save a version with reusable variables instead of private details.

Copy prompt Check answer

Fit and safety notes

Use this workflow for

Developers who have real notes or context and need a structured first version of a debugging plan.
Users who want ChatGPT to ask clarifying questions before it commits to a technical checklist with hypotheses, steps, risks, and verification commands.
Teams that repeat debugging plan work and need a prompt they can adapt without losing the review step.

Do not use for

Users who want ChatGPT to invent facts, credentials, numbers, or personal details.
Situations where the output needs final approval from a qualified human before it reaches a code reviewer, teammate, maintainer, or future self.
Work that includes private data that has not been removed or summarized safely.

Wrong page?ChatGPT Prompts for DevelopersReturn to the role guide to choose by situation, output, and reviewer.

Editorial method Safe use About this library

Debug an issue for developer Evidence-Aware Working Copy Prompt

Use this when the source material is ready and the answer needs to become a debugging plan.

Real input: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.
Target output: An acceptable debugging shape would return a debugging plan split into reader-ready copy, open questions, and reviewer notes; make the supported lines easy to separate from assumptions and blanks, identify the person who owns the last pass and the item they inspect, prepare debug log with reproduction and hypothesis rows, and give the human reviewer a pass/fail look at debugging plan quality, reproduction steps and error evidence, and codebase verification.
Reject if: Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.

Scenario: A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. The debugging plan work happens inside a codebase note where the next person needs reproduction before a fix. Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code. For debugging plan work, those constraints decide what the answer is allowed to do; without them, ChatGPT can sound finished while skipping the detail a developer checks first.
Bring: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. error message, reproduction steps, recent changes, environment, and expected behavior reproduction steps, error evidence, hypothesis order, and verification command
Check: The final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code. Before handing off the debugging plan, the final human edit should keep the useful structure, remove unsupported details, add verified context, and check debugging plan quality, reproduction steps and error evidence, and codebase verification before the output reaches a code reviewer, teammate, maintainer, or future self. Keep a short record of what changed before reuse. Recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.

Variable Builder

[source_material]Paste the concrete developer debugging plan work notes, such as error message, reproduction steps, recent changes, environment, and expected behavior.[audience]Who will read, use, approve, or act on this developer a debugging plan.[goal]The choice or work outcome this developer debugging plan work run should support.[constraints]Rules for developer debugging plan work: tone, length, channel, privacy, and actual error output, code behavior, and passing verification.[review_lens]Use this check before sharing: debugging plan quality, reproduction steps and error evidence, and codebase verification.[task_focus]The detail that keeps this developer debugging plan work prompt specific: reproduction steps, error evidence, hypothesis order, and verification command.

Filled prompt

Copy this filled version

Run this evidence-aware working copy prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: [source_material]. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: [audience]. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: [task_focus]. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: [goal]. Constraints: [constraints]. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to [source_material], and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as the first usable version: use the supplied fields, label assumptions, and produce the main artifact.
Stop rule: Stop if the request asks you to invent facts, evidence, credentials, numbers, or private details.
Return a technical checklist with hypotheses, steps, risks, and verification commands.
Before writing a debugging plan, ask up to 3 clarifying questions when [source_material] does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on [review_lens]. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should get a working version they can inspect against the supplied notes.

Show the full prompt

Expected output: Expect a technical checklist with hypotheses, steps, risks, and verification commands that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

First run

Run this page in four moves

Concrete outputAn acceptable debugging shape would return a debugging plan split into reader-ready copy, open questions, and reviewer notes; make the supported lines easy to separate from assumptions and blanks, identify the person who owns the last pass and the item they inspect, prepare debug log with reproduction and hypothesis rows, and give the human reviewer a pass/fail look at debugging plan quality, reproduction steps and error evidence, and codebase verification.

Keep after runAttach a handoff note that names the original note, the prompt variables that changed the answer, the section that still needs debugging plan quality, reproduction steps and error evidence, and codebase verification, and the final reason the accepted version can become debugging prompt pattern with source notes, constraints, and review checklist.

Reject before reuseRestart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.

PrepareCollect ContextUse this when the developer source notes are still uneven or missing the detail that would shape a debugging plan.CopyBuild The AssetUse this when the notes are ready and the next useful output is a technical checklist with hypotheses, steps, risks, and verification commands, not more brainstorming.GradeReview The AnswerUse this when ChatGPT has already answered and the risk is accepting fluent wording before debugging plan quality, reproduction steps and error evidence, and codebase verification is checked.SavePrepare HandoffUse this when the answer is close but needs to become a repeatable asset for a developer, not a one-off chat result.

Work notes

Start from the real note, not a blank prompt

Current input: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.
First move: Start by pasting the rough note, then replace the variables that control audience, source material, and the reviewer for debugging plan quality, reproduction steps and error evidence, and codebase verification.
Who checks it: Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.

Stop rule: Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.
Keep after run: Attach a handoff note that names the original note, the prompt variables that changed the answer, the section that still needs debugging plan quality, reproduction steps and error evidence, and codebase verification, and the final reason the accepted version can become debugging prompt pattern with source notes, constraints, and review checklist.

PrepareCollect ContextBring the rough case note: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.CopyBuild The AssetExpect a technical checklist with hypotheses, steps, risks, and verification commands that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.GradeReview The AnswerSeparate useful structure from unsupported detail and ask which sections would fail if actual error output, code behavior, and passing verification is missing.SavePrepare HandoffCopy the external review checklist, record what changed, and save a version with reusable variables instead of private details.

Do not start if: Stop if the answer sounds polished but still cannot show the source notes behind reproduction steps, error evidence, hypothesis order, and verification command.
Human check: Source review, debug an issue: the answer uses the supplied error message, reproduction steps, recent changes, environment, and expected behavior and does not fill missing facts with confident guesses.

Real note check

Check the answer against your note

This works best when the answer stays tied to the note you pasted, the question people search, and the person who can review it.

Question to compare: chatgpt prompts for developers debugging

Open reference checks

Paste into ChatGPT: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.
Question to compare: chatgpt prompts for developers debuggingResult debugging developers check: open the top results and record whether they solve the task, not only a prompt phrase.
Reference page: MDN Web Docs learning and reference documentationUsed for developer prompts where examples, tests, documentation, and implementation guidance should be grounded in reviewable technical references.
Who checks it: Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.Inspect error message, reproduction steps, recent changes, environment, and expected behavior, the case note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", and any open support around actual error output, code behavior, and passing verification; the answer should keep supplied notes, assumptions, and needs-checking points separate.

For developers, debug an issue is usually a handoff problem as much as a writing problem; the page keeps the source, audience, and reviewer in view. The page pairs the prompt with example input, a revision pass, and rejection rules so the user is not left judging tone alone. debug an issue reviewer support: point to debug log with reproduction and hypothesis rows before accepting the answer. A second prompt should tighten the weak sections, flag unsupported claims, and restate the final human check. AI-assisted code must be reviewed, tested, and adapted to the actual codebase. Keep the review owner close to the task, because the prompt cannot know whether the source is complete.

Real use plan for treating the prompt like a work note

0/12 checked

The debug an issue page gives developer a short operating path: prepare the source, run the prompt, challenge the answer, then decide what is safe for a code reviewer, teammate, maintainer, or future self.

Before copying

Turn the rough request into input fields: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.State who signs off on the answer and what would make a debugging plan usable in that setting.Make the boundary explicit instead of trusting tone: The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes.Add reproduction steps, error evidence, hypothesis order, and verification command as a required choice point, not as background context.

After ChatGPT answers

Separate useful structure from unsupported detail and ask which sections would fail if actual error output, code behavior, and passing verification is missing.Move uncertain claims into a review list so debugging plan quality, reproduction steps and error evidence, and codebase verification is not hidden.Make the follow-up narrow: one issue, one desired change, one check for reproduction steps, error evidence, hypothesis order, and verification command.Save only the parts that can repeat: source fields, review lens, output shape, and rejection rules.

Reject the answer if

Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.Reject it when a debugging plan is missing, vague, or buried under explanation.Reject it if the boundary is mentioned but not reflected in the actual sections.Reject it when the handoff would leave debugging plan quality, reproduction steps and error evidence, and codebase verification unclear.

Choose the next move

Open the task by naming the audience, the evidence limit, and the person who will approve the answer.

Build The Asset

Use this when the notes are ready and the next useful output is a technical checklist with hypotheses, steps, risks, and verification commands, not more brainstorming.

Open section

Do now: Copy the recommended prompt, replace the variables, and ask for a debugging plan with assumptions separated from source-backed details.
Bring first: Bring the task focus: reproduction steps, error evidence, hypothesis order, and verification command. Add the channel, deadline, and any required sections.
Stop if: Stop if the first answer gives broad advice instead of a concrete a debugging plan.
Next check: Use the run sheet's review mode before sharing anything with a code reviewer, teammate, maintainer, or future self.

Open prompt Prepare context Check answer

Before copying

Turn the rough request into input fields: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.
State who signs off on the answer and what would make a debugging plan usable in that setting.
Make the boundary explicit instead of trusting tone: The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes.

Accept only if

Separate useful structure from unsupported detail and ask which sections would fail if actual error output, code behavior, and passing verification is missing.
Move uncertain claims into a review list so debugging plan quality, reproduction steps and error evidence, and codebase verification is not hidden.
Make the follow-up narrow: one issue, one desired change, one check for reproduction steps, error evidence, hypothesis order, and verification command.

Reject when

Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.

Know when the answer is ready

Use this quick check before saving the answer, rerunning the prompt, or switching to a neighboring workflow.

Ready signal

The answer is ready to review when the messy input "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." is organized into a debugging plan split into reader-ready copy, open questions, and reviewer notes, keeps reproduction steps, error evidence, hypothesis order, and verification command visible, and gives the person saving debugging prompt pattern with source notes, constraints, and review checklist for later use a short ready call with the accepted line, repair line, or stop reason before sharing with a code reviewer, teammate, maintainer, or future self.

First run action

Before copying, name error message, reproduction steps, recent changes, environment, and expected behavior, the intended a debugging plan, the audience, the stop rule "verify against the actual codebase and test results before using", and the support needed for actual error output, code behavior, and passing verification.

Keep after run: Attach a handoff note that names the original note, the prompt variables that changed the answer, the section that still needs debugging plan quality, reproduction steps and error evidence, and codebase verification, and the final reason the accepted version can become debugging prompt pattern with source notes, constraints, and review checklist.
Use or revise: the person saving debugging prompt pattern with source notes, constraints, and review checklist for later use should approve the output only if it can be traced back to error message, reproduction steps, recent changes, environment, and expected behavior, shows what is assumed, and does not turn actual error output, code behavior, and passing verification into a confident claim without review.
What makes this page different: The page's search advantage is tying the query "chatgpt prompts for developers debugging" to a fillable prompt, a realistic case, an answer repair path, and a no-fake-metrics support boundary instead of only listing prompt phrases.
Why this page exists: This page deserves its own workflow for the debugging query because debugging plan changes the source material, reviewer, output shape, and failure mode; sending the user to a nearby developer page would hide reproduction steps, error evidence, hypothesis order, and verification command and weaken the final a debugging plan.

Second pass

Second pass before the answer becomes reusable

Source line

Editor margin source for debugging plan work: "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." It is the sentence most likely to disappear when a smooth answer starts too quickly.

Human check note

a working editor checking debugging plan quality, reproduction steps and error evidence, and codebase verification reads the first ChatGPT answer beside the rough note and decides what survives. The pass is intentionally narrow: preserve the note, remove unsupported confidence, ask for the missing support, then rewrite only the part that changes the choice. The check belongs before the prompt is saved as debugging prompt pattern with source notes, constraints, and review checklist.

Keep

the rough note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites" as the visible source line for a debugging plan

Keep this because the rough note is the only part a developer can compare against the answer when a technical checklist with hypotheses, steps, risks, and verification commands starts to sound finished.

The accepted answer should repeat or clearly map back to "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." before it adds structure.

Cut

any confident claim about actual error output, code behavior, and passing verification that the pasted note does not prove

Cut it because the support around actual error output, code behavior, and passing verification is the review risk for this page, and fluent wording can make an unsupported detail look approved.

If the source note does not show the fact, the answer should move it into a needs-checking line or remove it.

Ask

the missing audience, owner, or review detail needed before a code reviewer, teammate, maintainer, or future self uses the answer

Ask before reuse because a debugging plan only helps a code reviewer, teammate, maintainer, or future self when the channel, approval owner, and open support are visible.

The next run should name the missing field instead of burying it inside a polished answer.

Rewrite

the first polished paragraph so it shows reproduction steps, error evidence, hypothesis order, and verification command before tone improvements

Rewrite the opening because this task is about reproduction steps, error evidence, hypothesis order, and verification command, not a general debugging plan answer that could fit any role page.

A reviewer should see reproduction steps, error evidence, hypothesis order, and verification command in the first accepted section and again in the saved reuse rule.

Why this feels hand-edited

a working editor checking debugging plan quality, reproduction steps and error evidence, and codebase verification leaves this margin pass because the workflow has to protect a real source note, not only offer another prompt. For developers working on debugging plan, the human-feeling part is the specific tradeoff: keep "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", cut unsupported certainty, ask for the missing owner, and rewrite the answer around reproduction steps, error evidence, hypothesis order, and verification command. That support trail makes the page feel edited rather than assembled from repeated blocks.

Run the second pass

Run an editorial margin pass for this task. Source note: "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." Output being reviewed: [paste ChatGPT answer]. Mark four choices: Keep the source-backed detail that should survive, Cut any unsupported claim about actual error output, code behavior, and passing verification, Ask the missing question that blocks a code reviewer, teammate, maintainer, or future self from using the result, and Rewrite the section so reproduction steps, error evidence, hypothesis order, and verification command stays visible before polish. End with one accept, repair, or reject choice and a reuse rule for debugging prompt pattern with source notes, constraints, and review checklist.

Task actions for the next useful move

Start by pasting the rough note, then replace the variables that control audience, source material, and the reviewer for debugging plan quality, reproduction steps and error evidence, and codebase verification.

CollectCollect ContextBring the rough case note: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.CopyBuild The AssetExpect a technical checklist with hypotheses, steps, risks, and verification commands that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.CheckReview The AnswerSeparate useful structure from unsupported detail and ask which sections would fail if actual error output, code behavior, and passing verification is missing.HandoffPrepare HandoffCopy the external review checklist, record what changed, and save a version with reusable variables instead of private details.

Wrong page ifThe user cannot provide error message, reproduction steps, recent changes, environment, and expected behavior and would need ChatGPT to invent the important facts.

Stay hereThe page is for the moment when developers have enough notes to create a debugging plan, but still need a choice about reproduction steps, error evidence, hypothesis order, and verification command. First move: Start by pasting the rough note, then replace the variables that control audience, source material, and the reviewer for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Switch ifChatGPT Prompts for DevelopersReturn to the role guide to choose by situation, output, and reviewer.

Stop ifThe user cannot provide error message, reproduction steps, recent changes, environment, and expected behavior and would need ChatGPT to invent the important facts. The desired result is not a debugging plan or cannot be shaped as a technical checklist with hypotheses, steps, risks, and verification commands.

Not forUsers who want ChatGPT to invent facts, credentials, numbers, or personal details. Situations where the output needs final approval from a qualified human before it reaches a code reviewer, teammate, maintainer, or future self.

Before you use the answer, make the call

Who checks it: For this debugging plan work run, the teammate accountable for debugging plan quality, reproduction steps and error evidence, and codebase verification should inspect the source note, open assumptions, and final debug log with reproduction and hypothesis rows before a code reviewer, teammate, maintainer, or future self sees it.
Check before using: Inspect error message, reproduction steps, recent changes, environment, and expected behavior, the case note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", and any open support around actual error output, code behavior, and passing verification; the answer should keep supplied notes, assumptions, and needs-checking points separate.
What this changes: This page is ready to help only when the user can decide what to accept, what to repair, and what to reject before the debugging plan becomes debugging prompt pattern with source notes, constraints, and review checklist.
Do next: The final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed. Then save only the repeatable fields, not the one-time case details, so the next run still asks for debugging plan quality, reproduction steps and error evidence, and codebase verification.
Before saving for reuse: Before reusing the answer, keep any search, traffic, ranking, or popularity claim out of the final asset unless someone can point to search performance tool evidence or other real search data after publishing for "chatgpt prompts for developers debugging" and record where it came from.

Working case file: Debug an Issue working case for Developers

This is the work moment before a developer should copy the prompt. The user has enough material to start, but not enough to trust a smooth answer unless the prompt keeps error message, reproduction steps, recent changes, environment, and expected behavior, a technical checklist with hypotheses, steps, risks, and verification commands, and the person approving a debugging plan in the same run.

Rough note

A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. The rough note says: "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." The desired result is a debugging plan for a code reviewer, teammate, maintainer, or future self.

Constraint to keep visible

The answer has to protect reproduction steps, error evidence, hypothesis order, and verification command before it improves wording. Carry this rule into every section: verify against the actual codebase and test results before using.

What the user brought

The supplied case is "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", so the answer should begin from the user's actual wording and not from broad debug an issue advice.

The finished a debugging plan should point back to error message, reproduction steps, recent changes, environment, and expected behavior and show how reproduction steps, error evidence, hypothesis order, and verification command changed the answer.

What is still missing

The model should ask for audience, channel, approval owner, and any support needed for actual error output, code behavior, and passing verification before it treats the result as usable.

Missing inputs belong in a needs-checking line, not inside polished wording that a code reviewer, teammate, maintainer, or future self might treat as settled.

Who accepts the answer

the person approving a debugging plan should inspect debugging plan quality, reproduction steps and error evidence, and codebase verification, compare the answer with the rough note, and decide whether the output is ready, repairable, or too thin.

The page should leave a visible owner for the final check instead of implying that ChatGPT approval is enough.

What gets saved

The reusable version should keep variables for source notes, audience, reviewer, support need, stop rule, and reproduction steps, error evidence, hypothesis order, and verification command.

One-time details should be removed only after the accepted answer proves that a technical checklist with hypotheses, steps, risks, and verification commands works for this case.

Before copying

Can the user point to the exact error message, reproduction steps, recent changes, environment, and expected behavior ChatGPT is allowed to use?
Is reproduction steps, error evidence, hypothesis order, and verification command visible before the prompt asks for a debugging plan?
Has the user named the reviewer who checks debugging plan quality, reproduction steps and error evidence, and codebase verification?
Is there a stop rule for unsupported claims about actual error output, code behavior, and passing verification?

Checks before sharing

Compare the first answer with "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and mark any section that invents context.
Check whether the output is shaped as a technical checklist with hypotheses, steps, risks, and verification commands, not a general explanation.
Move uncertain claims into a needs-checking block before sharing the answer with a code reviewer, teammate, maintainer, or future self.
Save the pattern as debugging prompt pattern with source notes, constraints, and review checklist only after private or one-time details become variables.

Run this case first

Use this case file before writing. Start from this rough note: "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." Build a debugging plan as a technical checklist with hypotheses, steps, risks, and verification commands. Keep reproduction steps, error evidence, hypothesis order, and verification command visible, separate supplied facts from assumptions, ask for missing support around actual error output, code behavior, and passing verification, name the person approving a debugging plan as the checker, and stop before using any claim that the source notes do not support.

Ready means the result can move to a code reviewer, teammate, maintainer, or future self with supplied notes, assumptions, and checks still separated. The accepted version should tell a code reviewer, teammate, maintainer, or future self what is ready, what needs checking, and which fields the next user must replace before rerunning the prompt.

Input triage before running ChatGPT

Which problem is most likely to break this debug an issue run before a code reviewer, teammate, maintainer, or future self can use it?

Selected issue

Missing context

Build context

Symptom: Debug an Issue starts from a rough note like "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." but the audience, choice, or approval point is still implied.
Ask now: What does a code reviewer, teammate, maintainer, or future self already know, what source notes are available, and what must the final a debugging plan decide?
Do next: Separate facts, constraints, audience, and approval owner before copying, then ask the model to preserve those labels in the answer.
Prompt move: Before writing, ask me up to four questions needed to produce a technical checklist with hypotheses, steps, risks, and verification commands; do not fill gaps with assumptions.
Stop if: Stop if the answer sounds polished but still cannot show the source notes behind reproduction steps, error evidence, hypothesis order, and verification command.
Who checks it: a code reviewer, teammate, maintainer, or future self

Build context Readiness check

Notes to save before reusing this prompt

Sort the rough note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." before running debug an issue in a codebase note where the next person needs reproduction before a fix. This note sheet tells ChatGPT what it may use, what it must label, and which part the teammate checking debugging plan quality, reproduction steps and error evidence, and codebase verification checks before a code reviewer, teammate, maintainer, or future self sees debug log with reproduction and hypothesis rows. Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.

Facts the prompt can safely use

Capture: Capture the concrete case first: A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. The note says "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and the requested asset is debug log with reproduction and hypothesis rows. Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.
Keep: Keep the facts that directly affect a technical checklist with hypotheses, steps, risks, and verification commands, especially the audience, task focus, channel, and any details already present in error message, reproduction steps, recent changes, environment, and expected behavior.
Verify: Verify that every useful line in the answer can point back to the rough note or to error message, reproduction steps, recent changes, environment, and expected behavior.
Prompt direction: Tell ChatGPT to use only listed facts for the first pass and to put any extra idea in a needs-checking line.
Who checks it: the teammate checking debugging plan quality, reproduction steps and error evidence, and codebase verification checks whether the answer still reflects debugging plan quality, reproduction steps and error evidence, and codebase verification after the first pass.
If skipped: If this row is skipped, a debugging plan can sound specific while drifting into generic debug an issue advice.

Unknowns the model must not hide

Capture: List what the user did not provide but the answer may need: missing audience detail, missing support around actual error output, code behavior, and passing verification, or an approval step for a code reviewer, teammate, maintainer, or future self.
Keep: Keep assumptions outside the usable sections until the user confirms them or chooses a safer fallback.
Verify: Check whether the answer names what is unknown before it recommends wording, order, or next steps.
Prompt direction: Ask ChatGPT to return a short assumption list before writing any final copy or checklist.
Who checks it: the teammate checking debugging plan quality, reproduction steps and error evidence, and codebase verification decides which assumptions are acceptable and which ones need another user answer.
If skipped: If assumptions are hidden, the answer may pass a style check while failing the real choice about reproduction steps, error evidence, hypothesis order, and verification command.

Rules the answer must obey

Capture: Record the rule from this case: The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes. Also include verify against the actual codebase and test results before using and this field friction before the model writes: a debug plan can skip the reproduction step and become a list of guesses. Debugging failure sample: the answer suggests fixes before the error can be reproduced and never names the command that proves the hypothesis.
Keep: Keep the constraint near the requested format so it governs the whole a technical checklist with hypotheses, steps, risks, and verification commands, not only the final paragraph.
Verify: Check whether the answer obeys the constraint even when it would be easier to produce a smoother or broader response.
Prompt direction: Tell ChatGPT to stop and ask before continuing if the constraint conflicts with the requested output.
Who checks it: the teammate checking debugging plan quality, reproduction steps and error evidence, and codebase verification checks the constraint before approving any handoff to a code reviewer, teammate, maintainer, or future self.
If skipped: If this row is skipped, the model may produce a fluent answer that the user cannot safely use.

Details to summarize before reuse

Capture: Mark names, private identifiers, account details, student or customer records, confidential strategy, and one-time case details before they enter the prompt.
Keep: Keep summaries that preserve meaning but remove details that should not travel into a reusable prompt.
Verify: Check whether the answer repeats private or one-time information that should have stayed outside the saved version.
Prompt direction: Ask ChatGPT to replace private details with role-safe descriptions and to flag anything it cannot safely generalize.
Who checks it: the teammate checking debugging plan quality, reproduction steps and error evidence, and codebase verification confirms that the final a debugging plan can be shared in the intended channel.
If skipped: If this row is skipped, the page helps the user copy faster but may teach a bad reuse habit.

Reusable fields for the next run

Capture: Name the fields that should change next time: source notes, audience, output format, support needed for actual error output, code behavior, and passing verification, reviewer, and stop rule.
Keep: Keep reproduction steps, error evidence, hypothesis order, and verification command, debugging plan quality, reproduction steps and error evidence, and codebase verification, and debug log with reproduction and hypothesis rows as required fields so the saved prompt does not collapse into a generic role prompt. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.
Verify: Check whether the reusable version still asks for the facts that made this case work, instead of saving the finished wording alone.
Prompt direction: Tell ChatGPT to return a reusable prompt with variables and a reject-if rule after the human accepts the current answer.
Who checks it: the teammate checking debugging plan quality, reproduction steps and error evidence, and codebase verification signs off only when private details are removed and the next user can fill the variables without guessing.
If skipped: If this row is skipped, the user may save polished wording instead of a repeatable debugging prompt pattern with source notes, constraints, and review checklist.

Copy these saved notes with the prompt only after the developer can point to the supplied facts, the uncertain parts, the hard limit, the reusable fields for reproduction steps, error evidence, hypothesis order, and verification command, and the place where a debug plan can skip the reproduction step and become a list of guesses. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code. Debugging external support need: an independent developer resource should cite the reproduction-first workflow, not just a generic AI prompt directory link.

Iteration loop: run the prompt as a working thread

Debug an Issue works best as a short conversation, not as one copy action. Start from the rough note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", then ask ChatGPT to write, question, challenge, and hand off debug log with reproduction and hypothesis rows without hiding actual error output, code behavior, and passing verification. Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.

Thread goal

Thread goal for developer: turn the rough case from A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. into a technical checklist with hypotheses, steps, risks, and verification commands for a code reviewer, teammate, maintainer, or future self, while the reviewer accountable for debugging plan quality, reproduction steps and error evidence, and codebase verification can still inspect debugging plan quality, reproduction steps and error evidence, and codebase verification, reproduction steps, error evidence, hypothesis order, and verification command, unsupported assumptions, and the friction that a debug plan can skip the reproduction step and become a list of guesses. Debugging failure sample: the answer suggests fixes before the error can be reproduced and never names the command that proves the hypothesis.

Debug an Issue is finished only when the handoff names what is ready, what still needs checking, and which fields become variables next time. The loop is stronger than a one-shot prompt because it makes the model show its first version, missing context, challenge, and reusable handoff before the developer treats debug log with reproduction and hypothesis rows as finished. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.

1
First run
Use this first when the source note is messy but concrete enough to produce a reviewable a debugging plan.
```
Debug an Issue first run: use the rough note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." from A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs.; build a debugging plan as a technical checklist with hypotheses, steps, risks, and verification commands; rely on supplied facts for the main answer, label assumptions, keep reproduction steps, error evidence, hypothesis order, and verification command visible, and end with the support still needed for actual error output, code behavior, and passing verification.
```
Keep
Keep the exact source note, the requested output shape, and any line that directly supports reproduction steps, error evidence, hypothesis order, and verification command.
Accept if
Accept the first answer only if it separates source-backed details from assumptions and gives the reviewer accountable for debugging plan quality, reproduction steps and error evidence, and codebase verification something concrete to inspect.
Stop if
Stop if the answer invents missing context, treats actual error output, code behavior, and passing verification as proven, or drifts into general debug an issue advice.
2
Gap fill
Use this after the first answer when the shape is useful but the model skipped questions that block real use.
```
Debug an Issue gap fill: compare the first answer with the rough note already in this thread; name the missing inputs that prevent a code reviewer, teammate, maintainer, or future self from using the result; ask up to five questions grouped by audience, source support, channel, reviewer, and reuse field, then say which part can continue with a safe fallback.
```
Keep
Keep any section that maps to error message, reproduction steps, recent changes, environment, and expected behavior; move guesses into open questions instead of deleting the whole answer.
Accept if
Accept this turn only if the missing questions would help a developer make a clearer choice before rerunning or revising.
Stop if
Stop if the model asks generic questions that do not affect a technical checklist with hypotheses, steps, risks, and verification commands, debugging plan quality, reproduction steps and error evidence, and codebase verification, or the final handoff.
3
Skeptic pass
Use this before sharing the answer, especially when it sounds polished enough to hide weak evidence.
```
Debug an Issue skeptic pass: compare the current answer with the rough note already in this thread; mark unsupported claims, unclear owners, privacy issues, and weak spots around actual error output, code behavior, and passing verification; give each issue a repair sentence that keeps reproduction steps, error evidence, hypothesis order, and verification command visible without adding new facts.
```
Keep
Keep the usable structure from the first answer, but require every claim and recommendation to survive the skeptic pass.
Accept if
Accept this turn only if it gives repair instructions that the reviewer accountable for debugging plan quality, reproduction steps and error evidence, and codebase verification can apply without rewriting the whole asset from scratch.
Stop if
Stop if the critique only says the answer is good or bad without naming the exact line, risk, and repair move.
4
Handoff
Use this after the answer survives the gap fill and skeptic pass and is ready to become a working asset.
```
Debug an Issue handoff: prepare the accepted a debugging plan, a needs-checking block for actual error output, code behavior, and passing verification, a reviewer note for the reviewer accountable for debugging plan quality, reproduction steps and error evidence, and codebase verification, and a reusable version with variables for source notes, audience, output format, support need, stop rule, and reproduction steps, error evidence, hypothesis order, and verification command; remove one-time private details before saving.
```
Keep
Keep the accepted wording, the repair choices, and the variables that make debugging prompt pattern with source notes, constraints, and review checklist safe to rerun.
Accept if
Accept the handoff only if a code reviewer, teammate, maintainer, or future self can tell what is ready, what needs review, and what must be replaced next time.
Stop if
Stop if the final version saves polished case details instead of a reusable prompt structure with visible boundaries.

Prompt readiness check before you copy

Use this quick pass to decide whether to collect more context, build a context pack, or run the prompt and grade the answer.

0/6 ready

Source notes readyNeed likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.Audience or recipient knownDevelopers who have real notes or context and need a structured first version of a debugging plan.Constraints and no-go rules clearAI-assisted code must be reviewed, tested, and adapted to the actual codebase. Ask ChatGPT to label assumptions and verification needs before using a debugging plan.Facts to verify listedDebugging output shape: what would make a technical checklist with hypotheses, steps, risks, and verification commands easier to review in one pass? Debugging choice detail: which rough-note detail changes the choice for a code reviewer, teammate, maintainer, or future self?Checker is namedLet a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.Reuse rule clearKeep this debugging pattern only after private details are removed, one-time facts become variables, move guesses into hypotheses and require reproduction evidence before fixes, and the review rule for reproduction steps, error evidence, hypothesis order, and verification command still appears in the reusable prompt. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.

Do next

Collect context first

The prompt can run, but the answer will likely fill gaps with assumptions. Start by collecting notes, constraints, and the person who will check it.

Use this prompt when: Developers who have real notes or context and need a structured first version of a debugging plan.
Wait if: Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.
Who checks it: Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.
Reuse rule: Keep this debugging pattern only after private details are removed, one-time facts become variables, move guesses into hypotheses and require reproduction evidence before fixes, and the review rule for reproduction steps, error evidence, hypothesis order, and verification command still appears in the reusable prompt. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.

Collect context Open prompt Context pack Output grader

Session handoff: finish the run without losing the thread

Track the four steps that turn a copied prompt into a usable work session.

0/4 steps

Context readyBuild a context pack before copying anything.Open stepPrompt runRun the recommended prompt with the prepared context.Open stepAnswer checkedGrade the answer against the task checks and repair weak sections.Open stepReuse choiceDecide whether to save the run, rerun it, or discard it.Open step

Next action

Collect working context

Start by getting source notes, constraints, the person who checks it, and the stop rule into one place.

Working note: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.
Who checks it: Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.
Stop rule: Restart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.
Reuse choice: Keep this debugging pattern only after private details are removed, one-time facts become variables, move guesses into hypotheses and require reproduction evidence before fixes, and the review rule for reproduction steps, error evidence, hypothesis order, and verification command still appears in the reusable prompt. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.

Open next step Prompt Context Grade

Work note: what the rough note changes

Use this when the answer must carry the original note, the missing context, and the review check into the final prompt run.

Original working note

The debugging reviewer first sees a rough note: "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." is the rough request. A teammate checking debugging should be able to see it: a teammate should be able to read a debugging plan, spot reproduction steps, error evidence, hypothesis order, and verification command, find the checker, and verify this boundary: verify against the actual codebase and test results before using.

Received note: Received note for Developers Debug an Issue: "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." arrives as the source note inside a codebase note where the next person needs reproduction before a fix, with The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes. as the first human concern and debug log with reproduction and hypothesis rows as the target artifact.
Question before run: Before writing, ask whether a technical checklist with hypotheses, steps, risks, and verification commands should optimize for speed, reviewability, or reuse, because the same note can lead to different debug an issue outputs.
First answer flaw: First answer flaw for Developers Debug an Issue: the first response may hide the handoff risk by sounding complete, even though a code reviewer, teammate, maintainer, or future self still needs support, limits, and a choice owner.
Human edit: Human edit for Developers Debug an Issue: separate the keeper wording from one-time facts, keep the choice path visible, and make the final version safe for the reviewer accountable for actual error output, code behavior, and passing verification to inspect; the editor also has to move guesses into hypotheses and require reproduction evidence before fixes; the edit has to preserve "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and leave debug log with reproduction and hypothesis rows ready for a reviewer, not just prettier.
Reusable field: Reusable field for Developers Debug an Issue: keep the field set narrow: original note, final artifact, human check, unsupported items, and the reuse rule that protects verify against the actual codebase and test results before using. Keep the field set alert to this repeat risk: a debug plan can skip the reproduction step and become a list of guesses.

Questions before reuse

Debugging output shape: what would make a technical checklist with hypotheses, steps, risks, and verification commands easier to review in one pass?
Debugging choice detail: which rough-note detail changes the choice for a code reviewer, teammate, maintainer, or future self?
Debugging reader check: who will read or approve this a debugging plan, and what do they already know?

Who checks it

Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.

Debugging source note: treat "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." as the factual base, not decorative background; the next usable asset is debug log with reproduction and hypothesis rows.
Debugging evidence check: mark any section where actual error output, code behavior, and passing verification is assumed instead of shown, especially when a debug plan can skip the reproduction step and become a list of guesses.
Debugging scope check: keep the answer on reproduction steps, error evidence, hypothesis order, and verification command; do not drift away from a codebase note where the next person needs reproduction before a fix.
Debugging final polish: rewrite final wording only after debugging plan quality, reproduction steps and error evidence, and codebase verification is clear enough for the reviewer accountable for actual error output, code behavior, and passing verification, then move guesses into hypotheses and require reproduction evidence before fixes.
Debugging freshness rule: Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.

Usable output

An acceptable debugging shape would return a debugging plan split into reader-ready copy, open questions, and reviewer notes; make the supported lines easy to separate from assumptions and blanks, identify the person who owns the last pass and the item they inspect, prepare debug log with reproduction and hypothesis rows, and give the human reviewer a pass/fail look at debugging plan quality, reproduction steps and error evidence, and codebase verification.

Save this noteRough note that changes the prompt: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. Task-specific source material: error message, reproduction steps, recent changes, environment, and expected behavior Human check to keep visible: debugging plan quality, reproduction steps and error evidence, and codebase verification

Stop hereRestart the prompt if it adds citations, policies, credentials, or outcomes outside the source notes.

Save for reuseKeep this debugging pattern only after private details are removed, one-time facts become variables, move guesses into hypotheses and require reproduction evidence before fixes, and the review rule for reproduction steps, error evidence, hypothesis order, and verification command still appears in the reusable prompt. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.

Build context pack Check output Open work sample

Prompt run from pasted notes

Use this pass to see what should happen between the rough note and the answer that is safe enough to review.

Pasted notes

A rough debugging plan work note reads: A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. The source says "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." The answer needs to become debug log with reproduction and hypothesis rows for a code reviewer, teammate, maintainer, or future self; the run lives in a codebase note where the next person needs reproduction before a fix and has to respect this rule before any wording polish: The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes.

Why this input is messy

The debugging plan work case needs intake because the note carries facts, preferences, limits, and open approval points in one line; a quick answer can smooth over actual error output, code behavior, and passing verification, miss reproduction steps, error evidence, hypothesis order, and verification command, or make a debugging plan look ready before the reviewer accountable for actual error output, code behavior, and passing verification checks it, especially when a debug plan can skip the reproduction step and become a list of guesses.

First prompt move

Debug an Issue prompt opener should identify the choice this answer supports, then write only the sections backed by the pasted notes and flag the rest for review; this is a context pass before polish because a technical checklist with hypotheses, steps, risks, and verification commands has to stay traceable to the original note.

Questions ChatGPT should ask

Reader detail in debugging plan work: who will read this a debugging plan, and what do they already know?
Source detail in debugging plan work: which note details are verified facts, and which parts still need actual error output, code behavior, and passing verification?
Constraint detail in debugging plan work: what tone, length, channel, or approval rule matters before the answer reaches a code reviewer, teammate, maintainer, or future self?
Reuse detail in debugging plan work: which person will inspect debugging plan quality, reproduction steps and error evidence, and codebase verification, and what would make the answer unsafe to reuse?

Usable answer shape

The requested debugging plan work output should return a technical checklist with hypotheses, steps, risks, and verification commands, separate source-backed sections from assumptions and open questions, show how reproduction steps, error evidence, hypothesis order, and verification command shaped the result, name the reviewer accountable for actual error output, code behavior, and passing verification, and end with a short check for debugging plan quality, reproduction steps and error evidence, and codebase verification before the answer is shared or saved.

Human revision

Before saving debugging plan work, keep the usable structure from the first pass, move guesses into hypotheses and require reproduction evidence before fixes, keep sensitive details out of the reusable prompt, and write the reusable copy in a way a code reviewer, teammate, maintainer, or future self can act on; recheck the wording against "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and preserve this final standard: the final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed.

Save or discard

Reuse debugging plan work only if the note, output shape, checker, debug log with reproduction and hypothesis rows, and reuse rule stay visible; rerun or discard the answer when it could fit another developer task without changing the source notes, or when actual error output, code behavior, and passing verification is implied but not checkable.

Run prompt Grade answer Repair answer

Choose the right workflow for this job

Work moment

The page is for the moment when developers have enough notes to create a debugging plan, but still need a choice about reproduction steps, error evidence, hypothesis order, and verification command.

Why this workflow

Do first

Next best workflow

ChatGPT Prompts for DevelopersReturn to the role guide to choose by situation, output, and reviewer.

What to look for

Rough note that changes the prompt: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.
Task-specific source material: error message, reproduction steps, recent changes, environment, and expected behavior
Human check to keep visible: debugging plan quality, reproduction steps and error evidence, and codebase verification
Evidence pressure point: actual error output, code behavior, and passing verification

Wrong page if

The user cannot provide error message, reproduction steps, recent changes, environment, and expected behavior and would need ChatGPT to invent the important facts.
The desired result is not a debugging plan or cannot be shaped as a technical checklist with hypotheses, steps, risks, and verification commands.
The task would be safer on ChatGPT Prompts for Developers because the main choice is closer to that workflow.

When workflows look similar

Use this when the page looks close, but the thing you need to make or the person checking it is different.

Review code: Use this workflow
Stay with ChatGPT Prompts for Developers to Debug an Issue when your notes already include this check: Task-specific source material: error message, reproduction steps, recent changes, environment, and expected behavior.; Switch instead
Switch to Review code when the thing you need to make or the person checking it matches that workflow: Useful next step when this workflow needs a related developers output or review pass.; Keep separate
Keep the pages separate if The user cannot provide error message, reproduction steps, recent changes, environment, and expected behavior and would need ChatGPT to invent the important facts.
Write unit tests: Use this workflow
Stay with ChatGPT Prompts for Developers to Debug an Issue when your notes already include this check: Human check to keep visible: debugging plan quality, reproduction steps and error evidence, and codebase verification.; Switch instead
Switch to Write unit tests when the thing you need to make or the person checking it matches that workflow: Useful next step when this workflow needs a related developers output or review pass.; Keep separate
Keep the pages separate if The desired result is not a debugging plan or cannot be shaped as a technical checklist with hypotheses, steps, risks, and verification commands.
Write documentation: Use this workflow
Stay with ChatGPT Prompts for Developers to Debug an Issue when your notes already include this check: Evidence pressure point: actual error output, code behavior, and passing verification.; Switch instead
Switch to Write documentation when the thing you need to make or the person checking it matches that workflow: Useful next step when this workflow needs a related developers output or review pass.; Keep separate
Keep the pages separate if The task would be safer on ChatGPT Prompts for Developers because the main choice is closer to that workflow.

Run the page by work state

Open the task by naming the audience, the evidence limit, and the person who will approve the answer.

Build The Asset

Use this when the notes are ready and the next useful output is a technical checklist with hypotheses, steps, risks, and verification commands, not more brainstorming.

Open section

Do now: Copy the recommended prompt, replace the variables, and ask for a debugging plan with assumptions separated from source-backed details.
Bring: Bring the task focus: reproduction steps, error evidence, hypothesis order, and verification command. Add the channel, deadline, and any required sections.
Stop if: Stop if the first answer gives broad advice instead of a concrete a debugging plan.
Next check: Use the run sheet's review mode before sharing anything with a code reviewer, teammate, maintainer, or future self.

Bring this

Bring error message, reproduction steps, recent changes, environment, and expected behavior; add the reviewer, the audience, and the boundary from this case: The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes.

Reusable handoff

The output should be easy to copy, but harder to misuse: every risky claim needs a visible check and a clear owner before reuse.

Reality checks

Does the page-specific note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." change the prompt, or could this still fit another task unchanged?
Can the reviewer check debugging plan quality, reproduction steps and error evidence, and codebase verification without asking ChatGPT to invent missing facts?
Does the answer become a debugging plan, or does it stay at broad debugging plan work advice?
Would a code reviewer, teammate, maintainer, or future self know what was provided, what was assumed, and what still needs review?

Prompt path by where the work is stuck

advanced

Debug an issue for developer Evidence-Aware Working Copy Prompt

Use this when the source material is ready and the answer needs to become a debugging plan.

Use this when: Use before asking ChatGPT for debugging plan work so the model has enough task-specific context.
When this fits: Turn error message, reproduction steps, recent changes, environment, and expected behavior into a debugging plan for a code reviewer, teammate, maintainer, or future self.
Do next: Separate useful structure from unsupported detail and ask which sections would fail if actual error output, code behavior, and passing verification is missing.

Open this prompt card

Context pack before copying

0/8

Source notes are availableAudience or recipient is namedConstraints are explicitFacts to verify are listedChecker is named

Working notesConstraintsWho checks it

Ready to paste

Context brief for the next prompt

Context pack for Developers to Debug an Issue

Goal: Find a copyable prompt workbench that helps developers with debugging plan work, using the right source material, review lens, example, and follow-up prompts.
Working scenario: A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. The debugging plan work happens inside a codebase note where the next person needs reproduction before a fix. Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code. For debugging plan work, those constraints decide what the answer is allowed to do; without them, ChatGPT can sound finished while skipping the detail a developer checks first.

What I know:
Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.

Constraints and no-go rules:
AI-assisted code must be reviewed, tested, and adapted to the actual codebase. Ask ChatGPT to label assumptions and verification needs before using a debugging plan. Do not paste private names, identifiers, account details, student records, customer records, or confidential strategy when a summarized version is enough.

Who checks it:
Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.

Readiness checks:
- [ ] Source notes are available
- [ ] Audience or recipient is named
- [ ] Constraints are explicit
- [ ] Facts to verify are listed
- [ ] Checker is named

Ask ChatGPT to request missing context before writing. Keep assumptions separate from source-based claims.

Ask first

Questions to ask before the next run

5 questions

What source note should the answer use for Developers to Debug an Issue?
Who will read or use the final answer?
Which limits must stay visible, especially ai-assisted code must be reviewed, tested, and adapted to the actual codebase.?
Which facts should be checked before accepting the answer for ChatGPT Prompts for Developers to Debug an Issue?
Who should check the answer before it is reused: Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.?

Output grader before reuse

0/5

Paste ChatGPT output

0 words checked against Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.

Source review, debug an issue: the answer uses the supplied error message, reproduction steps, recent changes, environment, and expected behavior and does not fill missing facts with confident guesses.Output shape, debug an issue: the result clearly becomes a debugging plan, not broad advice about the task.Handoff clarity, debug an issue: the answer names missing inputs and the next human check for debugging plan quality, reproduction steps and error evidence, and codebase verification.Audience fit, debug an issue: the result works for a code reviewer, teammate, maintainer, or future self, including channel, tone, length, and choice context.Risk boundary, debug an issue: the final version respects verify against the actual codebase and test results before using.

Needs another review pass

a debugging plan final pass: keep the useful structure, then move guesses into hypotheses and require reproduction evidence before fixes; readiness means a code reviewer, teammate, maintainer, or future self can see what was provided, what was assumed, why a debug plan can skip the reproduction step and become a list of guesses, and what still needs review.

Task-specific output diagnosis

Paste the first Debug an Issue answer and compare it with "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." before checking style. A useful developer output must prove it belongs to this page by keeping reproduction steps, error evidence, hypothesis order, and verification command, a technical checklist with hypotheses, steps, risks, and verification commands, and the task reviewer visible.

Pass when

The answer uses "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." as the controlling case, not as decoration, and turns it into a technical checklist with hypotheses, steps, risks, and verification commands with reproduction steps, error evidence, hypothesis order, and verification command still visible.
The answer shows which lines come from "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and which lines remain assumptions before a code reviewer, teammate, maintainer, or future self sees the debugging plan.
The answer gives the task reviewer a clear check tied to "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", especially the point where actual error output, code behavior, and passing verification cannot be treated as proven.
The answer can become debugging prompt pattern with source notes, constraints, and review checklist only after the one-time facts in "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." are replaced with variables and the stop rule stays attached.

False pass

It sounds polished but never quotes or preserves the specific case in "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.", so the debug an issue output could fit another page.
It gives a generic next step while hiding reproduction steps, error evidence, hypothesis order, and verification command, which makes the answer feel useful before it can support the real a debugging plan.
It skips the task reviewer or buries the review check, so the user cannot tell who should approve the answer before reuse.
It could fit a neighboring workflow because the response hides a technical checklist with hypotheses, steps, risks, and verification commands, actual error output, code behavior, and passing verification, or the source material that makes this debug an issue page different.

Repair next

Rewrite the opening around "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and keep the first sentence tied to reproduction steps, error evidence, hypothesis order, and verification command before improving tone or length.
Add a needs-checking block for actual error output, code behavior, and passing verification, then separate supplied facts from assumptions before returning a technical checklist with hypotheses, steps, risks, and verification commands.
Mark the line the task reviewer must inspect for debugging plan quality, reproduction steps and error evidence, and codebase verification, and move unsupported claims out of the usable answer.
Replace one-time details with variables for the saved debugging prompt pattern with source notes, constraints, and review checklist, then rerun only the section that failed the debug an issue check.

Red flags

Evidence issue, debug an issue: the answer invents or overstates actual error output, code behavior, and passing verification.
Task drift, debug an issue: it ignores reproduction steps, error evidence, hypothesis order, and verification command and moves into a neighboring workflow.
Readiness gap, debug an issue: it sounds complete while leaving debugging plan quality, reproduction steps and error evidence, and codebase verification impossible to verify.
Privacy issue, debug an issue: it includes details that should have been summarized or removed.
Generic output, debug an issue: it produces a broad template that could fit any task in the role.

Choose the next pass

Pick what happens to this answer before it becomes a saved version.

Repair

Issue note

Repair next

Run a narrower pass against the failed line, the source note, and the task-specific stop rule.

Rewrite the opening around "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and keep the first sentence tied to reproduction steps, error evidence, hypothesis order, and verification command before improving tone or length.
Add a needs-checking block for actual error output, code behavior, and passing verification, then separate supplied facts from assumptions before returning a technical checklist with hypotheses, steps, risks, and verification commands.

Repair pass

Output next pass for: Debug an Issue: start from error message and reproduction steps
Next pass: Repair
Why: Run a narrower pass against the failed line, the source note, and the task-specific stop rule.
Checked items: 0/5
Issue note: Add the failed line or remaining risk before copying this pass.

Source task:
Find a copyable prompt workbench that helps developers with debugging plan work, using the right source material, review lens, example, and follow-up prompts.

Repair moves:
- Rewrite the opening around "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and keep the first sentence tied to reproduction steps, error evidence, hypothesis order, and verification command before improving tone or length.
- Add a needs-checking block for actual error output, code behavior, and passing verification, then separate supplied facts from assumptions before returning a technical checklist with hypotheses, steps, risks, and verification commands.
- Mark the line the task reviewer must inspect for debugging plan quality, reproduction steps and error evidence, and codebase verification, and move unsupported claims out of the usable answer.
- Replace one-time details with variables for the saved debugging prompt pattern with source notes, constraints, and review checklist, then rerun only the section that failed the debug an issue check.

Keep if repaired:
- The answer uses "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." as the controlling case, not as decoration, and turns it into a technical checklist with hypotheses, steps, risks, and verification commands with reproduction steps, error evidence, hypothesis order, and verification command still visible.
- The answer shows which lines come from "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." and which lines remain assumptions before a code reviewer, teammate, maintainer, or future self sees the debugging plan.

Answer being graded:
Paste the ChatGPT answer above before copying this pass.

Return the smallest revised answer, the line a person must check, and whether this should be accepted, repaired again, or rejected.

Answer repair for replies that sound right but are not ready

Weak answer pattern

The polished Developers Debug an Issue version copies a line like "The notes have been shaped into a clear answer with a helpful structure, direct wording, and a closing recommendation" and then moves on. Debug an Issue failure to avoid for developer: it makes reuse tempting even though the one-time facts have not become variables; the actual note to protect is Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.

Why it fails

Debug an Issue repair note: the response sounds helpful while sliding away from the task that the user actually brought Rebuild the weak answer around reproduction steps, error evidence, hypothesis order, and verification command; call out where actual error output, code behavior, and passing verification changes the answer, name the reviewer who checks actual error output, code behavior, and passing verification before sharing with a code reviewer, teammate, maintainer, or future self, and handle the field-level problem directly: a debug plan can skip the reproduction step and become a list of guesses.

Trace the rough note

Problem: The answer mentions a debugging plan but does not reflect the concrete case: A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs.
Repair: Rewrite the first section around the user note, then mark which details came from the note, which details still need confirmation, and where debug log with reproduction and hypothesis rows changes the output.

Name the reviewer

Problem: The answer can move forward without anyone checking debugging plan quality, reproduction steps and error evidence, and codebase verification.
Repair: Add a reviewer line for the reviewer who checks actual error output, code behavior, and passing verification, plus one question that must be answered before the result is shared.

Protect the evidence

Problem: The answer can imply actual error output, code behavior, and passing verification even when the source notes do not support it.
Repair: Keep unsupported claims in a separate needs-checking block and remove any claim the user cannot verify.

Keep the task narrow

Problem: The response can drift from debug an issue into broad advice that does not produce a technical checklist with hypotheses, steps, risks, and verification commands.
Repair: Force the final answer back into a technical checklist with hypotheses, steps, risks, and verification commands, keep reproduction steps, error evidence, hypothesis order, and verification command as the main choice point, and move guesses into hypotheses and require reproduction evidence before fixes.

Human-edited direction

Human Debug an Issue revision for Developers: start with the actual case, name the audience, return a technical checklist with hypotheses, steps, risks, and verification commands, keep supplied notes, assumptions, and missing checks separate, then move guesses into hypotheses and require reproduction evidence before fixes, tell a code reviewer, teammate, maintainer, or future self what is ready to use, what the reviewer who checks actual error output, code behavior, and passing verification must verify, and how the answer becomes debugging prompt pattern with source notes, constraints, and review checklist without private or one-time details.

Rerun prompt

Rerun Developers Debug an Issue: repair this debug an issue answer, keep the result focused on reproduction steps, error evidence, hypothesis order, and verification command, return a technical checklist with hypotheses, steps, risks, and verification commands, put unsupported claims about actual error output, code behavior, and passing verification in a needs-checking block, name the reviewer as the reviewer who checks actual error output, code behavior, and passing verification, protect this boundary "verify against the actual codebase and test results before using", and use only these source notes: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.

Accept when

The answer visibly uses the rough note instead of generic debug an issue advice.
The result is shaped as a technical checklist with hypotheses, steps, risks, and verification commands and can be checked by the reviewer who checks actual error output, code behavior, and passing verification.
Any uncertain point about actual error output, code behavior, and passing verification is separated from the usable parts.
The reusable version keeps reproduction steps, error evidence, hypothesis order, and verification command and removes one-time or private details.

Reject when

The answer could fit another developer task without changing more than the title.
The response sounds polished but cannot show where the key claims came from.
The result skips debugging plan quality, reproduction steps and error evidence, and codebase verification or hides who should approve it.
The answer asks the user to trust the model instead of checking the source notes.

Start from the user's actual notes

Reader situation

Developers need a debugging prompt that orders hypotheses and verification steps around actual evidence. This page is for developers debugging plan work when a debug plan can skip the reproduction step and become a list of guesses. Debugging search results edge: this page should win only if it turns an error note into reproduction, hypotheses, verification commands, and stop rules. Debugging external support need: an independent developer resource should cite the reproduction-first workflow, not just a generic AI prompt directory link. Debugging plan work for developer needs its own page because a strong result connects the query to the real work file, the missing context, and the human check that prevents misuse.

Concrete scenario

A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. The debugging plan work happens inside a codebase note where the next person needs reproduction before a fix. Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code. For debugging plan work, those constraints decide what the answer is allowed to do; without them, ChatGPT can sound finished while skipping the detail a developer checks first.

Real user input

Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. In debugging plan work, the rough note has to lead because role-level advice would flatten the situation. A reviewer needs those notes kept separate from assumptions. Carry the source note into a debugging plan. For debugging plan work, paste the source as bullets, constraints, and audience notes so the model has enough shape for a technical checklist with hypotheses, steps, risks, and verification commands.

Editor take

The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes. In this debugging plan review, the edit is to move guesses into hypotheses and require reproduction evidence before fixes. Debugging failure sample: the answer suggests fixes before the error can be reproduced and never names the command that proves the hypothesis. In the debugging plan work review, the editor should reward prompts that make actual error output, code behavior, and passing verification visible and penalize answers that hide missing context behind fluent wording; compare the answer with the actual notes before reuse.

Human polish

The final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code. Before handing off the debugging plan, the final human edit should keep the useful structure, remove unsupported details, add verified context, and check debugging plan quality, reproduction steps and error evidence, and codebase verification before the output reaches a code reviewer, teammate, maintainer, or future self. Keep a short record of what changed before reuse. Recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.

Fast use path

Main card for a debugging plan: copy the recommended prompt first, not every variation.
Source material for a debugging plan: replace [source_material] with error message, reproduction steps, recent changes, environment, and expected behavior.
Audience details for a debugging plan: add the real audience and the constraint that matters most for debug an issue.
Review pass for a debugging plan: run the review prompt against debugging plan quality, reproduction steps and error evidence, and codebase verification before using the answer.

Specificity signals

A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs.
Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.
error message, reproduction steps, recent changes, environment, and expected behavior
reproduction steps, error evidence, hypothesis order, and verification command
actual error output, code behavior, and passing verification
verify against the actual codebase and test results before using
debug log with reproduction and hypothesis rows
a debug plan can skip the reproduction step and become a list of guesses
move guesses into hypotheses and require reproduction evidence before fixes
a codebase note where the next person needs reproduction before a fix
Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.
Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.
Debugging search results edge: this page should win only if it turns an error note into reproduction, hypotheses, verification commands, and stop rules.
Debugging failure sample: the answer suggests fixes before the error can be reproduced and never names the command that proves the hypothesis.
Debugging external support need: an independent developer resource should cite the reproduction-first workflow, not just a generic AI prompt directory link.

Real use sample: how the messy note changes the prompt

Messy brief

Ask before copying

Debugging output shape: what would make a technical checklist with hypotheses, steps, risks, and verification commands easier to review in one pass?
Debugging choice detail: which rough-note detail changes the choice for a code reviewer, teammate, maintainer, or future self?
Debugging reader check: who will read or approve this a debugging plan, and what do they already know?
Debugging stop signal: which visible mistake would stop the team from using the answer?

Checks before sharing

Debugging source note: treat "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites." as the factual base, not decorative background; the next usable asset is debug log with reproduction and hypothesis rows.
Debugging evidence check: mark any section where actual error output, code behavior, and passing verification is assumed instead of shown, especially when a debug plan can skip the reproduction step and become a list of guesses.
Debugging scope check: keep the answer on reproduction steps, error evidence, hypothesis order, and verification command; do not drift away from a codebase note where the next person needs reproduction before a fix.
Debugging final polish: rewrite final wording only after debugging plan quality, reproduction steps and error evidence, and codebase verification is clear enough for the reviewer accountable for actual error output, code behavior, and passing verification, then move guesses into hypotheses and require reproduction evidence before fixes.
Debugging freshness rule: Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.
Debugging failure pattern: Debugging failure sample: the answer suggests fixes before the error can be reproduced and never names the command that proves the hypothesis.
Debugging choice owner: Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.

Before and after

Weak answer risk: The risky debugging version sounds complete: the answer sounds complete while turning "need likely causes, questions to ask, reproduction plan, and commands to verify; do not suggest random rewrites;" into broad advice, hiding missing context around actual error output, code behavior, and passing verification, and leaving a code reviewer, teammate, maintainer, or future self without a clear choice path because a debug plan can skip the reproduction step and become a list of guesses. Debugging failure sample: the answer suggests fixes before the error can be reproduced and never names the command that proves the hypothesis.
Improved outcome: An acceptable debugging shape would return a debugging plan split into reader-ready copy, open questions, and reviewer notes; make the supported lines easy to separate from assumptions and blanks, identify the person who owns the last pass and the item they inspect, prepare debug log with reproduction and hypothesis rows, and give the human reviewer a pass/fail look at debugging plan quality, reproduction steps and error evidence, and codebase verification.
Why it feels real: The concrete detail in debugging is the review moment: it starts from messy source notes, a codebase note where the next person needs reproduction before a fix, a named review moment, and task-level evidence instead of a clean prompt sentence. Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.

When to save this version

Keep this debugging pattern only after private details are removed, one-time facts become variables, move guesses into hypotheses and require reproduction evidence before fixes, and the review rule for reproduction steps, error evidence, hypothesis order, and verification command still appears in the reusable prompt. Debugging owner check: the engineer reproducing the issue must approve the hypothesis order before anyone changes code.

The job this page helps finish

This query needs task execution, not inspiration; the prompt has to preserve error message, reproduction steps, recent changes, environment, and expected behavior and return a technical checklist with hypotheses, steps, risks, and verification commands. The workbench should explain the inputs, the failure mode, and the human review step before the user copies the result. The answer fails if reproduction steps, error evidence, hypothesis order, and verification command disappears during rewriting.

Use Cases

Turn error message, reproduction steps, recent changes, environment, and expected behavior into a debugging plan for a code reviewer, teammate, maintainer, or future self.
Review an existing debugging plan work answer for debugging plan checkpoint, missing details, and unsupported claims.
Create a repeatable debugging prompt pattern with source notes, constraints, and review checklist so the next version starts from stronger context.
Make reproduction steps, error evidence, hypothesis order, and verification command visible so the answer stays tied to a debugging plan instead of drifting into a neighboring task.
Condense a long ChatGPT answer into a technical checklist with hypotheses, steps, risks, and verification commands without losing the choices the human must make.

Input Prep

Write the audience or recipient in one sentence, including what they already know.
Paste or summarize error message, reproduction steps, recent changes, environment, and expected behavior; do not ask the model to guess it.
Name the final choice the debugging plan work output must support.
Add constraints such as tone, length, required sections, privacy limits, and forbidden claims.
List the facts that must be checked after ChatGPT answers, especially actual error output, code behavior, and passing verification.
Add the task-specific focus: reproduction steps, error evidence, hypothesis order, and verification command.

Check the answer against real references

What users are trying to finish

The search intent is strongest when developer already have source notes and need help turning them into a technical checklist with hypotheses, steps, risks, and verification commands. That means the content needs practical prompts, a filled case, and enough review language for a code reviewer, teammate, maintainer, or future self. Search match depends on showing the source, the finished a debugging plan, the expected a technical checklist with hypotheses, steps, risks, and verification commands, and the reviewer responsible for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Why the workflow matters

It is stronger than a short prompt collection because the answer has to pass source checks before a code reviewer, teammate, maintainer, or future self uses it. That combination supports both SEO intent and real use: prompt, context, example, review, and repair.

External references

Google Search Central people-first content guidanceUsed as the search-quality yardstick because this page must solve a real user task and make actual error output, code behavior, and passing verification reviewable.
Google Search Central SEO Starter GuideUsed to keep titles, descriptions, links, and page structure focused on helping search engines and users understand a debugging plan.
OpenAI developer platform documentationUsed for developer workflows where prompts should preserve codebase context, tests, verification steps, and implementation review.
MDN Web Docs learning and reference documentationUsed for developer prompts where examples, tests, documentation, and implementation guidance should be grounded in reviewable technical references.
NIST AI Risk Management FrameworkUsed as the second developer-risk reference so code, tests, and technical explanations keep verification and human review explicit.

Related ways people ask for this task

Question covered: chatgpt prompts for developers debugging

What the reader wants: copy prompt workflow with template and review intent

Leave out popularity or ranking numbers until you can point to real search data after publishing.

Related ways people ask for this task

debugging chatgpt prompt for developers
best chatgpt prompts for debugging
debugging prompt template for developers
copyable debugging chatgpt prompt
debugging ai prompt with review checklist
chatgpt debugging workflow prompt

What to compare before using this prompt

Check whether ranking pages answer the task directly or only list broad prompts for developers.
Compare whether competitors show a filled example for a debugging plan and not just a blank prompt.
Look for missing-source risks around actual error output, code behavior, and passing verification, especially claims that need manual checking.
Verify whether the search results favors a role hub, a task page, a template page, or a tool-like prompt builder.
Confirm no volume, ranking, CPC, or difficulty number is used unless it comes from a live keyword tool export.

Why this page should match the search

For "chatgpt prompts for developers debugging", this page should win only if the reader can turn error message, reproduction steps, recent changes, environment, and expected behavior into a technical checklist with hypotheses, steps, risks, and verification commands and still know who checks debugging plan.

Compare against

A broad developers prompt collection that gives short examples without a worked debug log with reproduction and hypothesis rows.
A role guide that explains developers work but does not turn error message, reproduction steps, recent changes, environment, and expected behavior into a technical checklist with hypotheses, steps, risks, and verification commands.
A prompt generator page that creates wording but leaves the debugging plan check to the user.
A task article that teaches debug an issue but does not give a copyable run with a check step.

This page is stronger when

It starts from error message, reproduction steps, recent changes, environment, and expected behavior, then shapes the answer into a technical checklist with hypotheses, steps, risks, and verification commands instead of asking the reader to invent context.
It keeps the debugging plan check visible, so a smooth answer is not treated as ready before a person checks it.
It shows a weak-answer repair path for a debug plan can skip the reproduction step and become a list of guesses, which is the common failure a short example misses.
It links to nearby workflows when the user really needs a different output, owner, or source note.

Outside references to open

Open the official helpful-content guidance when you need to check whether the page is solving a real user task.
Open the role-specific outside reference when developers work needs policy, education, hiring, sales, marketing, developer, or operations context.
Keep source links beside the prompt output when actual error output, code behavior, and passing verification could change whether the answer is usable.

Improve the page when

Current search results mostly reward a different page type, such as a tool, forum thread, video, or role hub.
The top results answer a sharper question than "chatgpt prompts for developers debugging" and this page does not yet answer that wording.
Readers cannot see debug log with reproduction and hypothesis rows before they reach a long section of explanation.
The page starts getting visits for this topic but users would still need another page to check debugging plan.

Check the answer before you reuse it

Who checks it

Let a human checker decide whether a debugging plan reflects the source note or needs another pass before it reaches a code reviewer, teammate, maintainer, or future self.

Real-world case

a debugging plan scenario: this task feels human when the page handles the moment where developers provide error message, reproduction steps, recent changes, environment, and expected behavior, need a technical checklist with hypotheses, steps, risks, and verification commands, and must keep reproduction steps, error evidence, hypothesis order, and verification command visible while checking actual error output, code behavior, and passing verification. For developers, debug an issue is reviewed inside a codebase note where the next person needs reproduction before a fix, with debug log with reproduction and hypothesis rows as the concrete item on the desk.

Checks before sharing

Source review, debug an issue: the answer uses the supplied error message, reproduction steps, recent changes, environment, and expected behavior and does not fill missing facts with confident guesses.
Output shape, debug an issue: the result clearly becomes a debugging plan, not broad advice about the task.
Handoff clarity, debug an issue: the answer names missing inputs and the next human check for debugging plan quality, reproduction steps and error evidence, and codebase verification.
Audience fit, debug an issue: the result works for a code reviewer, teammate, maintainer, or future self, including channel, tone, length, and choice context.
Risk boundary, debug an issue: the final version respects verify against the actual codebase and test results before using.

Compare with other results

Question to compare: chatgpt prompts for developers debugging

Result debugging developers check: open the top results and record whether they solve the task, not only a prompt phrase.
Example debugging developers check: compare whether competing pages show a filled example for a debugging plan using realistic error message, reproduction steps, recent changes, environment, and expected behavior.
Evidence debugging developers check: mark whether each page explains how to verify actual error output, code behavior, and passing verification and debugging plan quality, reproduction steps and error evidence, and codebase verification.
Differentiator debugging developers check: compare the top results against this page promise: Debugging search results edge: this page should win only if it turns an error note into reproduction, hypotheses, verification commands, and stop rules.
Failure debugging developers check: mark whether competing pages show this failure mode or avoid it: Debugging failure sample: the answer suggests fixes before the error can be reproduced and never names the command that proves the hypothesis.
Freshness debugging developers check: record whether competing pages say how source notes stay current. Debugging freshness check: recheck the error output, reproduction steps, recent diff, and environment before carrying an old hypothesis into a new run.
Page type debugging developers check: confirm whether Google is rewarding a role hub, task page, tool, article, video, or forum thread for this query.
FAQ debugging developers check: record People Also Ask questions that should become FAQ or section coverage before publishing changes.

Do not assume

Confirm the trust pages cite official Search Central guidance for helpful content and SEO basics.
Confirm source references support the safe-use and human-review framing.
Add or keep a role-specific external reference if developers need policy, education, developer, hiring, sales, or marketing context beyond this prompt library.
External support need: Debugging external support need: an independent developer resource should cite the reproduction-first workflow, not just a generic AI prompt directory link.

Numbers to leave out unless verified

This page can prove local readiness, source coverage, and review depth. It cannot claim ranking, traffic, search volume, CPC, or difficulty until those numbers come from search performance tool or another real search data source after publishing.

Weak prompt: too vague to trust

Help me debug an issue for my work.

It gives no source material, no stakeholder, no output shape, and no review lens, so ChatGPT can fill gaps with generic advice.

Stronger prompt: specific enough to review

Help developers debug an issue by turning [source_material] into a debugging plan for [audience]. Keep the task focus on reproduction steps, error evidence, hypothesis order, and verification command. Use this output shape: a technical checklist with hypotheses, steps, risks, and verification commands. Do not add facts beyond the source. End with a review checklist for debugging plan quality, reproduction steps and error evidence, and codebase verification and actual error output, code behavior, and passing verification.

It names the task asset, required inputs, audience, format, evidence boundary, and human review step, so the answer is easier to adapt and check.

Rewrite case from vague request to usable prompt

Original need

A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. The user needs help with debugging plan, but the real job is to turn a messy request into a debugging plan that a code reviewer, teammate, maintainer, or future self can review without hidden assumptions.

Weak prompt

Write a good debugging plan from this: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.

This weak version includes a real situation but gives ChatGPT no output shape, audience rule, evidence boundary, or review owner. It can sound polished while missing reproduction steps, error evidence, hypothesis order, and verification command, inventing details, or skipping debugging plan quality, reproduction steps and error evidence, and codebase verification.

Stronger prompt

Act as a careful assistant for Developers.
I need help with debugging plan. Use only this source material: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.
The usual source material for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
The audience is [audience], and the output must work for a code reviewer, teammate, maintainer, or future self.
Create a debugging plan in this shape: a technical checklist with hypotheses, steps, risks, and verification commands.
Keep the task focus on reproduction steps, error evidence, hypothesis order, and verification command.
Respect this editorial rule: The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes.
If context is missing, ask up to three clarifying questions before writing.
After the answer, include a review checklist for debugging plan quality, reproduction steps and error evidence, and codebase verification, actual error output, code behavior, and passing verification, and this boundary: verify against the actual codebase and test results before using.

The stronger version gives ChatGPT a role, real input, audience, output shape, editorial boundary, and review lens. It also forces missing-context questions before creation and keeps actual error output, code behavior, and passing verification visible for human checking.

Sample input

A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. User notes: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites. Audience: a code reviewer, teammate, maintainer, or future self. Constraints: avoid unsupported claims, protect private details, and keep focus on reproduction steps, error evidence, hypothesis order, and verification command.

Example answer shape

A useful answer starts by restating the real situation, then provides a technical checklist with hypotheses, steps, risks, and verification commands. It marks assumptions, shows which parts came from the user's notes, includes a concise next action, and ends with checks for debugging plan quality, reproduction steps and error evidence, and codebase verification, actual error output, code behavior, and passing verification, and this boundary: verify against the actual codebase and test results before using. The output should already reflect the practical review target that matters here, so the final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed.

Human-edited final version

The human keeps the structure, removes any unsupported claim, adds missing facts from the real source, and saves the prompt as a reusable debugging prompt pattern with source notes, constraints, and review checklist. Before sharing with a code reviewer, teammate, maintainer, or future self, the final pass checks tone, privacy, evidence, and whether reproduction steps, error evidence, hypothesis order, and verification command is still the center of the answer. The pass is accepted only when the final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed.

Fit

Use when developers have real source notes for debugging plan.
Use when the desired result is a debugging plan, not broad advice.
Use when a human can review debugging plan quality, reproduction steps and error evidence, and codebase verification before the output reaches a code reviewer, teammate, maintainer, or future self.

Not fit

Do not use when the model is expected to invent facts, numbers, credentials, or private details.
Do not use when actual error output, code behavior, and passing verification is unavailable and cannot be checked.
Do not use as final judgment for sensitive outcomes covered by this boundary: verify against the actual codebase and test results before using.

Worked example: Debug an issue example from rough notes

Example input

A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs. Raw input: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.

Prompt use

Use the evidence-aware prompt to convert those notes into a debugging plan, then run the review prompt against this editorial rule: The prompt must require error text, recent changes, environment, and expected behavior before proposing fixes.

What the answer should look like

A useful answer would return a technical checklist with hypotheses, steps, risks, and verification commands for a code reviewer, teammate, maintainer, or future self, while making the source details and assumptions visible. It should preserve the real constraint in the input, keep reproduction steps, error evidence, hypothesis order, and verification command at the center, and avoid adding facts that are not present. The final section should tell the user what still needs checking, especially actual error output, code behavior, and passing verification. The human pass is not decoration here: The final plan should rank hypotheses, name files or subsystems to inspect, and end with commands that prove the issue is fixed.

Review notes

Confirm the answer reflects this actual situation: A developer sees an intermittent 500 after a Next.js page change, with one stack trace, recent middleware edits, and failing production logs.
Compare the output against the raw user input: Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites.
Confirm the source material really supports actual error output, code behavior, and passing verification.
Check that the wording fits a code reviewer, teammate, maintainer, or future self.
Confirm the answer handles reproduction steps, error evidence, hypothesis order, and verification command instead of a neighboring task.
Remove details that violate this boundary: verify against the actual codebase and test results before using.

Build and check the prompt

advanced

Fill this prompt for the current run

Filled prompt preview

Run this evidence-aware working copy prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: error message, reproduction steps, recent changes, environment, and expected behavior. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: a code reviewer, teammate, maintainer, or future self. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: reproduction steps, error evidence, hypothesis order, and verification command. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: make a debugging plan easier to review, adapt, and use in a real developers workflow. Constraints: verify against the actual codebase and test results before using. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to error message, reproduction steps, recent changes, environment, and expected behavior, and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as the first usable version: use the supplied fields, label assumptions, and produce the main artifact.
Stop rule: Stop if the request asks you to invent facts, evidence, credentials, numbers, or private details.
Return a technical checklist with hypotheses, steps, risks, and verification commands.
Before writing a debugging plan, ask up to 3 clarifying questions when error message, reproduction steps, recent changes, environment, and expected behavior does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on debugging plan quality, reproduction steps and error evidence, and codebase verification. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should get a working version they can inspect against the supplied notes.

beginner

Debug an issue for developer Context Intake Prompt

Use this before debugging plan work when the notes are rough and ChatGPT should ask clarifying questions first.

Run this context intake prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: [source_material]. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: [audience]. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: [task_focus]. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: [goal]. Constraints: [constraints]. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to [source_material], and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as intake: ask the questions needed before writing, then wait for answers if the source material is missing.
Stop rule: Stop before creating the final asset if the audience, source material, or review owner is unclear.
Return a question list grouped by audience, source material, constraints, and review owner.
Before writing a debugging plan, ask up to 3 clarifying questions when [source_material] does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on [review_lens]. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should leave with a short context pack and a safe next prompt, not a finished answer.

[source_material]: Paste the concrete developer debugging plan work notes, such as error message, reproduction steps, recent changes, environment, and expected behavior.Example: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: Who will read, use, approve, or act on this developer a debugging plan.Example: a code reviewer, teammate, maintainer, or future self
[goal]: The choice or work outcome this developer debugging plan work run should support.Example: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: Rules for developer debugging plan work: tone, length, channel, privacy, and actual error output, code behavior, and passing verification.Example: verify against the actual codebase and test results before using
[review_lens]: Use this check before sharing: debugging plan quality, reproduction steps and error evidence, and codebase verification.Example: debugging plan quality, reproduction steps and error evidence, and codebase verification
[task_focus]: The detail that keeps this developer debugging plan work prompt specific: reproduction steps, error evidence, hypothesis order, and verification command.Example: reproduction steps, error evidence, hypothesis order, and verification command

Expected output

Expect a question list grouped by audience, source material, constraints, and review owner that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Follow-up prompt

Now improve this working version into a debugging plan by tightening debugging plan quality, reproduction steps and error evidence, and codebase verification, emphasizing reproduction steps, error evidence, hypothesis order, and verification command, removing unsupported claims, and giving me one stronger version for a code reviewer, teammate, maintainer, or future self.

Human review

Check whether the answer uses only provided context, handles actual error output, code behavior, and passing verification, fits a code reviewer, teammate, maintainer, or future self, reflects reproduction steps, error evidence, hypothesis order, and verification command, and respects this boundary: verify against the actual codebase and test results before using.

Best for: Starting debugging plan work when the source material still needs shape. Use when: Use before asking ChatGPT for debugging plan work so the model has enough task-specific context.

advanced

Debug an issue for developer Evidence-Aware Working Copy Prompt

Use this when the source material is ready and the answer needs to become a debugging plan.

[source_material]: Paste the concrete developer debugging plan work notes, such as error message, reproduction steps, recent changes, environment, and expected behavior.Example: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: Who will read, use, approve, or act on this developer a debugging plan.Example: a code reviewer, teammate, maintainer, or future self
[goal]: The choice or work outcome this developer debugging plan work run should support.Example: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: Rules for developer debugging plan work: tone, length, channel, privacy, and actual error output, code behavior, and passing verification.Example: verify against the actual codebase and test results before using
[review_lens]: Use this check before sharing: debugging plan quality, reproduction steps and error evidence, and codebase verification.Example: debugging plan quality, reproduction steps and error evidence, and codebase verification
[task_focus]: The detail that keeps this developer debugging plan work prompt specific: reproduction steps, error evidence, hypothesis order, and verification command.Example: reproduction steps, error evidence, hypothesis order, and verification command

Expected output

Expect a technical checklist with hypotheses, steps, risks, and verification commands that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Follow-up prompt

Human review

Best for: Turning prepared context into a debugging plan. Use when: Use before asking ChatGPT for debugging plan work so the model has enough task-specific context.

workflow

Debug an issue for developer Repeatable Workflow Prompt

Use this when debugging plan work repeats often enough to become debugging prompt pattern with source notes, constraints, and review checklist.

Run this repeatable workflow prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: [source_material]. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: [audience]. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: [task_focus]. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: [goal]. Constraints: [constraints]. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to [source_material], and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as a repeatable workflow: separate one-time facts from fields that should change next time.
Stop rule: Stop if the reusable version would preserve private details or hide a human approval step.
Return a reusable step-by-step workflow with inputs, checks, and follow-up prompts.
Before writing a debugging plan, ask up to 3 clarifying questions when [source_material] does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on [review_lens]. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should get reusable fields, a run order, and a reject-if rule for the next use.

[source_material]: Paste the concrete developer debugging plan work notes, such as error message, reproduction steps, recent changes, environment, and expected behavior.Example: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: Who will read, use, approve, or act on this developer a debugging plan.Example: a code reviewer, teammate, maintainer, or future self
[goal]: The choice or work outcome this developer debugging plan work run should support.Example: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: Rules for developer debugging plan work: tone, length, channel, privacy, and actual error output, code behavior, and passing verification.Example: verify against the actual codebase and test results before using
[review_lens]: Use this check before sharing: debugging plan quality, reproduction steps and error evidence, and codebase verification.Example: debugging plan quality, reproduction steps and error evidence, and codebase verification
[task_focus]: The detail that keeps this developer debugging plan work prompt specific: reproduction steps, error evidence, hypothesis order, and verification command.Example: reproduction steps, error evidence, hypothesis order, and verification command

Expected output

Expect a reusable step-by-step workflow with inputs, checks, and follow-up prompts that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Follow-up prompt

Human review

Best for: Creating a reusable process for repeated debugging plan work. Use when: Use when debugging plan work repeats often enough to need a standard process.

review

Debug an issue for developer Human Review Prompt

Use this after there is already working copy and the main need is debugging plan quality, reproduction steps and error evidence, and codebase verification.

Run this human review prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: [source_material]. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: [audience]. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: [task_focus]. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: [goal]. Constraints: [constraints]. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to [source_material], and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as a review of existing copy: score the answer, name the weak sections, and propose repairs.
Stop rule: Stop if the copy cannot be traced back to the supplied source material or the reviewer is not named.
Return a scored review table with issues, fixes, and what still needs human judgment.
Before writing a debugging plan, ask up to 3 clarifying questions when [source_material] does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on [review_lens]. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should get a choice about accept, repair, or reject before polishing the wording.

[source_material]: Paste the concrete developer debugging plan work notes, such as error message, reproduction steps, recent changes, environment, and expected behavior.Example: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: Who will read, use, approve, or act on this developer a debugging plan.Example: a code reviewer, teammate, maintainer, or future self
[goal]: The choice or work outcome this developer debugging plan work run should support.Example: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: Rules for developer debugging plan work: tone, length, channel, privacy, and actual error output, code behavior, and passing verification.Example: verify against the actual codebase and test results before using
[review_lens]: Use this check before sharing: debugging plan quality, reproduction steps and error evidence, and codebase verification.Example: debugging plan quality, reproduction steps and error evidence, and codebase verification
[task_focus]: The detail that keeps this developer debugging plan work prompt specific: reproduction steps, error evidence, hypothesis order, and verification command.Example: reproduction steps, error evidence, hypothesis order, and verification command

Expected output

Expect a scored review table with issues, fixes, and what still needs human judgment that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Follow-up prompt

Human review

Best for: Finding weak spots in existing working copy. Use when: Use after developers already have working copy and need to check debugging plan quality, reproduction steps and error evidence, and codebase verification.

format

Debug an issue for developer Format Conversion Prompt

Use this when the substance is right but the output needs to fit a table, checklist, email, outline, or script.

Run this format conversion prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: [source_material]. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: [audience]. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: [task_focus]. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: [goal]. Constraints: [constraints]. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to [source_material], and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as format conversion: preserve the facts and change only the structure, order, or channel fit.
Stop rule: Stop if the requested format would require adding facts that were not in the original answer.
Return the same content reshaped without adding new facts.
Before writing a debugging plan, ask up to 3 clarifying questions when [source_material] does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on [review_lens]. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should get a reshaped version plus a note showing what stayed unchanged.

[source_material]: Paste the concrete developer debugging plan work notes, such as error message, reproduction steps, recent changes, environment, and expected behavior.Example: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: Who will read, use, approve, or act on this developer a debugging plan.Example: a code reviewer, teammate, maintainer, or future self
[goal]: The choice or work outcome this developer debugging plan work run should support.Example: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: Rules for developer debugging plan work: tone, length, channel, privacy, and actual error output, code behavior, and passing verification.Example: verify against the actual codebase and test results before using
[review_lens]: Use this check before sharing: debugging plan quality, reproduction steps and error evidence, and codebase verification.Example: debugging plan quality, reproduction steps and error evidence, and codebase verification
[task_focus]: The detail that keeps this developer debugging plan work prompt specific: reproduction steps, error evidence, hypothesis order, and verification command.Example: reproduction steps, error evidence, hypothesis order, and verification command

Expected output

Expect the same content reshaped without adding new facts that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Follow-up prompt

Human review

Best for: Changing the output format without changing the facts. Use when: Use when the answer needs a precise structure before developers can review it.

privacy

Debug an issue for developer Privacy-Safe Prompt

Use this when the source material contains private, sensitive, or account-specific details.

Run this privacy-safe prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: [source_material]. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: [audience]. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: [task_focus]. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: [goal]. Constraints: [constraints]. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to [source_material], and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as a sanitizing pass: replace private details with role-safe descriptions before writing.
Stop rule: Stop if names, identifiers, account details, confidential strategy, or one-time records are still present.
Return a sanitized prompt-ready summary plus a list of removed details.
Before writing a debugging plan, ask up to 3 clarifying questions when [source_material] does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on [review_lens]. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should get a safe summary, removed-detail list, and a reusable version without sensitive data.

[source_material]: Paste the concrete developer debugging plan work notes, such as error message, reproduction steps, recent changes, environment, and expected behavior.Example: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: Who will read, use, approve, or act on this developer a debugging plan.Example: a code reviewer, teammate, maintainer, or future self
[goal]: The choice or work outcome this developer debugging plan work run should support.Example: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: Rules for developer debugging plan work: tone, length, channel, privacy, and actual error output, code behavior, and passing verification.Example: verify against the actual codebase and test results before using
[review_lens]: Use this check before sharing: debugging plan quality, reproduction steps and error evidence, and codebase verification.Example: debugging plan quality, reproduction steps and error evidence, and codebase verification
[task_focus]: The detail that keeps this developer debugging plan work prompt specific: reproduction steps, error evidence, hypothesis order, and verification command.Example: reproduction steps, error evidence, hypothesis order, and verification command

Expected output

Expect a sanitized prompt-ready summary plus a list of removed details that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Follow-up prompt

Human review

Best for: Sanitizing context before asking ChatGPT for help. Use when: Use before adding sensitive context so private details stay out.

short

Debug an issue for developer Fast Checklist Prompt

Use this for a quick pass when the user only needs the next few choices for debugging plan work.

Run this fast checklist prompt for Developers; stay practical, cite the pasted notes, and leave the final call with the human reviewer.
Task: help me with debugging plan work. Target result: a debugging plan.
Source material I can provide: [source_material]. Typical source for this task is error message, reproduction steps, recent changes, environment, and expected behavior.
Audience or stakeholder: [audience]. The output must work for a code reviewer, teammate, maintainer, or future self.
Task-specific focus to preserve: [task_focus]. If the pasted focus is broad, compare it with this page cue: reproduction steps, error evidence, hypothesis order, and verification command.
Goal: [goal]. Constraints: [constraints]. Fact boundary for this run: keep actual error output, code behavior, and passing verification tied to [source_material], and mark any detail the notes do not support.
Run mode for debugging plan work: Run this as a fast choice pass: give only the next actions, the missing input, and the main risk.
Stop rule: Stop if the user needs a full artifact, a legal answer, a policy choice, or unsupported factual claims.
Return a concise checklist with the next action and the main risk.
Before writing a debugging plan, ask up to 3 clarifying questions when [source_material] does not include error message, reproduction steps, recent changes, environment.
After the answer, include a human review section focused on [review_lens]. Verify actual error output, code behavior, and passing verification; and respect this boundary: verify against the actual codebase and test results before using.
Check cue: for debugging plan work, The user should get a narrow next step they can complete before opening a longer prompt.

[source_material]: Paste the concrete developer debugging plan work notes, such as error message, reproduction steps, recent changes, environment, and expected behavior.Example: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: Who will read, use, approve, or act on this developer a debugging plan.Example: a code reviewer, teammate, maintainer, or future self
[goal]: The choice or work outcome this developer debugging plan work run should support.Example: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: Rules for developer debugging plan work: tone, length, channel, privacy, and actual error output, code behavior, and passing verification.Example: verify against the actual codebase and test results before using
[review_lens]: Use this check before sharing: debugging plan quality, reproduction steps and error evidence, and codebase verification.Example: debugging plan quality, reproduction steps and error evidence, and codebase verification
[task_focus]: The detail that keeps this developer debugging plan work prompt specific: reproduction steps, error evidence, hypothesis order, and verification command.Example: reproduction steps, error evidence, hypothesis order, and verification command

Expected output

Expect a concise checklist with the next action and the main risk that explicitly separates source-based content from assumptions and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

Follow-up prompt

Human review

Best for: Getting a quick choice checklist before spending more time. Use when: Use when time is short and the user needs the next action, not a full answer.

Variables

[source_material]: error message, reproduction steps, recent changes, environment, and expected behavior
[audience]: a code reviewer, teammate, maintainer, or future self
[goal]: make a debugging plan easier to review, adapt, and use in a real developers workflow
[constraints]: verify against the actual codebase and test results before using
[review_lens]: debugging plan quality, reproduction steps and error evidence, and codebase verification
[task_focus]: reproduction steps, error evidence, hypothesis order, and verification command

Answer checks

Context: Does the prompt give enough error message, reproduction steps, recent changes, environment, and expected behavior to avoid guessing?
Specificity: Does the answer produce a debugging plan rather than broad advice?
Task focus: Does it handle reproduction steps, error evidence, hypothesis order, and verification command instead of drifting into a neighboring workflow?
Reviewability: Can a human quickly check debugging plan checkpoint and actual error output, code behavior, and passing verification?
Fit: Does the wording match a code reviewer, teammate, maintainer, or future self and the real channel?
Safety: Are private details, unsupported claims, and policy-sensitive assumptions controlled?

Common mistakes

Asking ChatGPT to debug an issue without giving error message, reproduction steps, recent changes, environment, and expected behavior.
Accepting polished wording before checking actual error output, code behavior, and passing verification.
Using the same prompt for every developer task instead of changing the output shape and review lens.
Forgetting to name a code reviewer, teammate, maintainer, or future self, which makes tone and detail level drift.
Ignoring the task-specific focus: reproduction steps, error evidence, hypothesis order, and verification command.
Skipping the review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.
Pasting private or sensitive details when a summarized version would work.

Before you share

AI-assisted code must be reviewed, tested, and adapted to the actual codebase.
Ask ChatGPT to label assumptions and verification needs before using a debugging plan.
Do not paste private names, identifiers, account details, student records, customer records, or confidential strategy when a summarized version is enough.
Check that reproduction steps, error evidence, hypothesis order, and verification command is supported by the source material and not invented.
Have a human review debugging plan checkpoint before sharing the output with a code reviewer, teammate, maintainer, or future self.

FAQ

What is the best prompt for developers to debug an issue?

Use a prompt that names error message, reproduction steps, recent changes, environment, and expected behavior, asks for a technical checklist with hypotheses, steps, risks, and verification commands, and ends with a review pass for debugging plan quality, reproduction steps and error evidence, and codebase verification.

What should I paste into ChatGPT first?

Paste sanitized source notes, the intended audience, constraints, and the choice the output must support. For this task, the key input is error message, reproduction steps, recent changes, environment, and expected behavior.

How do I make the answer less generic?

Ask ChatGPT to use only the supplied material, show assumptions, and revise the answer against actual error output, code behavior, and passing verification and a code reviewer, teammate, maintainer, or future self.

What should a human check before using the output?

Check facts, tone, privacy, unsupported claims, and the task-specific lens: debugging plan quality, reproduction steps and error evidence, and codebase verification.

Next workflows

ChatGPT Prompts for DevelopersReturn to the role guide to choose by situation, output, and reviewer.
Review codeUseful next step when this workflow needs a related developers output or review pass.
Write unit testsUseful next step when this workflow needs a related developers output or review pass.
Write documentationUseful next step when this workflow needs a related developers output or review pass.
Plan refactoringUseful next step when this workflow needs a related developers output or review pass.
Sketch API integrationUseful next step when this workflow needs a related developers output or review pass.

Debug an Issue: start from error message and reproduction steps

Start with the note you actually have1/3 ready

Copy this after checking the notes

Check the answer before saving it

Pick accept, repair, or reject before reuse

Save the answer, problem, and next try

Save the final answer, human edit, and variables

Set up the first run

Debug an issue for developer Evidence-Aware Working Copy Prompt

Variable Builder

Copy this filled version

Run this page in four moves

Start from the real note, not a blank prompt

Check the answer against your note

Real use plan for treating the prompt like a work note

Before copying

After ChatGPT answers

Reject the answer if

Choose the next move

Build The Asset

Know when the answer is ready

Ready signal

First run action

Second pass before the answer becomes reusable

Source line

Human check note

the rough note "Need likely causes, questions to ask, reproduction plan, and commands to verify. Do not suggest random rewrites" as the visible source line for a debugging plan

any confident claim about actual error output, code behavior, and passing verification that the pasted note does not prove

the missing audience, owner, or review detail needed before a code reviewer, teammate, maintainer, or future self uses the answer

the first polished paragraph so it shows reproduction steps, error evidence, hypothesis order, and verification command before tone improvements

Why this feels hand-edited

Run the second pass

Task actions for the next useful move

Before you use the answer, make the call

Working case file: Debug an Issue working case for Developers

Rough note

Constraint to keep visible

What the user brought

What is still missing

Who accepts the answer

What gets saved

Before copying

Checks before sharing

Run this case first

Input triage before running ChatGPT

Missing context

Notes to save before reusing this prompt

Facts the prompt can safely use

Unknowns the model must not hide

Rules the answer must obey

Details to summarize before reuse

Reusable fields for the next run

Iteration loop: run the prompt as a working thread

Thread goal

First run

Gap fill

Skeptic pass

Handoff

Prompt readiness check before you copy

Collect context first

Session handoff: finish the run without losing the thread

Collect working context

Work note: what the rough note changes

Original working note

Questions before reuse

Who checks it

Usable output

Prompt run from pasted notes

Pasted notes

Why this input is messy

First prompt move

Questions ChatGPT should ask

Usable answer shape

Human revision

Save or discard

Choose the right workflow for this job

Work moment

Why this workflow

Do first

Next best workflow