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
๐ป Developer Prompts
Expert prompts for debugging, code review, architecture, SQL, React, Python, and more.
Debug โข 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 โข 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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