
30 AI Prompts Every Developer Should Have in Their Toolkit (Code Review, Debugging, Docs)
If you're using ChatGPT or Claude for coding but still spending hours on code reviews, debugging, and documentation — you're missing out. The difference isn't the AI. It's how you prompt it . I spent the last 3 months collecting and testing AI prompts specifically for developer productivity. Here are 30 that actually save time. 1. Code Review Prompts Speed Up Code Reviews by 50% Review this [language] code for: - Logic errors - Edge cases - Performance issues - Security vulnerabilities - Best practices violations [paste code] Format your response as: 1. Critical issues (must fix) 2. Suggestions (should fix) 3. Nitpicks (optional) Why this works: Structured output = faster action. You get prioritized feedback instead of a wall of text. Get Specific Refactoring Suggestions Refactor this code to be more [maintainable/performant/readable]: [paste code] Explain: - What you changed - Why it's better - Any trade-offs Use case: Legacy code cleanup, onboarding new devs, improving code you inher
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