Home โ€บ AI Prompts for Coding & Development
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634+ AI Prompts
AI Prompts for Coding & Development

634+ expert AI prompts for coding: debugging, code review, SQL, React, Python, API design, refactoring, and more.

100+ prompts
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Updated 2025

๐Ÿ’ป Developer Prompts

Expert prompts for debugging, code review, architecture, SQL, React, Python, and more.

Debug โ€ข Any Language
Root Cause Debugger
Intermediate
Diagnose any bug with step-by-step root cause analysis and a prevention strategy.
You are a senior software engineer. Perform a complete root cause analysis of this bug. ERROR: [PASTE EXACT ERROR MESSAGE] Language/Framework: [LANGUAGE] What should happen: [EXPECTED BEHAVIOR] What actually happens: [ACTUAL BEHAVIOR] ANALYSIS: 1. ROOT CAUSE: Identify the exact cause with line reference 2. WHY IT HAPPENS: Plain English explanation โ€” teach me, don't just fix it 3. FIX: Complete corrected code (full function, not just the changed line) 4. TEST: How to verify the fix works 5. PREVENTION: What pattern or test would catch this before production Code: ```[LANGUAGE] [PASTE YOUR CODE] ```
[ERROR MESSAGE][LANGUAGE][CODE]
Best with: Claude 3.5 Sonnet, GPT-4o
Code Review โ€ข Best Practices
Production Readiness Code Review
Advanced
A thorough code review covering correctness, security, performance, and maintainability.
Act as a senior engineer conducting a production readiness review. Review this code across all dimensions. CONTEXT: Language/Framework: [TECH STACK] What this code does: [PURPOSE] Will handle: [SCALE โ€” requests/sec, data volume] REVIEW DIMENSIONS: CORRECTNESS: Does it do what it claims? Edge cases handled? SECURITY: SQL injection, XSS, auth issues, exposed secrets, input validation PERFORMANCE: Algorithmic complexity, N+1 queries, unnecessary loops, memory leaks READABILITY: Variable naming, function length, comments where needed MAINTAINABILITY: SOLID principles, separation of concerns, testability ERROR HANDLING: Are all failure paths handled gracefully? FOR EACH ISSUE: - Severity: Critical / Major / Minor / Suggestion - Line/location - What's wrong and why - Exact corrected code Code: ```[LANGUAGE] [PASTE CODE] ```
[TECH STACK][PURPOSE][SCALE][CODE]
Best with: Claude 3.5 (most thorough review)

Frequently Asked Questions

What AI is best for coding?

Claude 3.5 Sonnet and GPT-4o are both excellent. Claude leads on code review, complex debugging, and following architectural specifications precisely. GPT-4o with Code Interpreter wins when you need to run and test code iteratively. For most developers, using both is the best approach.

Can AI write production-ready code?

AI can write production-quality code for well-defined tasks, but always requires human review before deployment. AI excels at boilerplate, standard patterns, and well-specified logic. It struggles with deeply business-specific requirements, subtle security edge cases, and performance optimization at extreme scale. Treat AI as a very fast junior developer โ€” review everything.

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