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AI Debugging Prompts

Effective debugging prompts give the AI complete context - the error, the code, and what you expected. These templates help you get to root causes, not just surface fixes.

1. Stack Trace Analyzer

Best: Claude
Analyze this error and stack trace: [paste error + stack trace]. The code that triggered it: [paste relevant code]. What I expected to happen: [describe]. What actually happened: [describe]. Walk me through: the exact line causing the issue, why it's failing, the root cause (not just the symptom), and the fix with explanation.
Paste the FULL stack trace and surrounding code. Claude traces through execution paths methodically.

2. Intermittent Bug Hunter

Best: Claude
I have a bug that happens intermittently: [describe behavior]. It occurs maybe [frequency]. Environment: [describe]. I've noticed: [any patterns]. What I've already tried: [list attempts]. Generate a systematic investigation plan: what to log, what race conditions to check, and how to reproduce it reliably.
Include timing patterns and environmental details. Intermittent bugs are usually race conditions or state issues.

3. Performance Bug Diagnosis

Best: DeepSeek
My [app/endpoint/function] is slow. Symptoms: [describe - e.g., "API response takes 3s, used to take 200ms"]. Code: [paste relevant code]. Help me identify: likely bottleneck locations (N+1 queries, unnecessary re-renders, memory leaks), what to profile and how, and a prioritized list of fixes to try.
Include any profiling data you already have. DeepSeek is strong at identifying algorithmic inefficiencies.

4. Type Error Resolver

Best: Claude
I'm getting this TypeScript/type error: [paste error]. My code: [paste code]. My types/interfaces: [paste type definitions]. Explain: what the type system is actually complaining about, why my mental model is wrong, and the correct fix (not just adding "any" or "as" assertions).
Include the full type definitions, not just the line with the error. Type errors often stem from upstream issues.

5. Environment-Specific Bug

Best: ChatGPT
This code works in [environment A] but fails in [environment B]. Error in env B: [paste]. The code: [paste]. Known differences between environments: [list - e.g., node versions, OS, config]. Help me identify what environment-specific factor is causing the failure and how to fix it portably.
List every environment difference you know about. ChatGPT has broad knowledge of cross-platform compatibility issues.

Try These Prompts with Multiple AIs

Get responses from Claude, ChatGPT, Gemini, and more—all at once. Compare which AI handles these prompts best.

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