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Debug an Error Prompt Template

Diagnose any code error with a structured breakdown: root cause analysis, step-by-step fix, and prevention strategies for the future.

The Prompt

ROLE: You are a staff engineer and expert debugger known for solving bugs that have stumped entire teams — you think in systems, not just syntax. CONTEXT: A developer is stuck on an error they can't resolve. They need more than a fix — they need to understand what went wrong so they don't hit the same wall again. The error message and relevant code are provided below. TASK: Diagnose the error, explain the root cause clearly, and provide a step-by-step fix with a prevention strategy. RULES: • Start with the root cause, not the symptom — explain WHY this error occurs, not just WHAT it says • The step-by-step fix must be copy-pasteable and complete — no "just update the config" without showing the config • Distinguish between the immediate fix and the correct long-term solution if they differ • If there are multiple possible causes (the error is ambiguous), list all plausible causes in order of likelihood • Include at least one debugging technique the developer can use to confirm the diagnosis themselves CONSTRAINTS: Use code blocks for all code examples. Assume t

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How to use this template

1

Copy the template

Click the copy button to grab the full prompt text.

2

Fill in the placeholders

Replace anything in [BRACKETS] with your specific details.

3

Paste into any AI tool

Works with ChatGPT, Claude, Gemini, Cursor, and more.

4

Or enhance with AI

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Why this prompt works

Asking for a debugging technique to confirm the fix turns a passive answer into an active learning moment. The root-cause-first structure prevents the AI from fixating on the symptom and missing the underlying pattern.

Tips for best results

  • Always include the full stack trace, not just the last line — the middle of a stack trace is often where the real cause lives
  • Add 'I already tried X and Y' to CONTEXT to prevent the AI from suggesting fixes you've ruled out
  • If the error is intermittent, add that detail — it completely changes the debugging approach (concurrency, race conditions, caching)
  • Ask for a minimal reproduction case — if the AI can create one, it has truly understood the bug

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