Developers are discovering that AI assistants like ChatGPT and Claude can dramatically accelerate their workflow. But most coders are only scratching the surface. Here are 15 AI prompts specifically designed for developers, tested by real programmers.
1. Debug Faster with AI
I'm getting this error: [paste error message]. Here's the relevant code: [paste code]. What's causing this and how do I fix it? Explain the root cause.
This prompt goes beyond surface-level fixes. By asking for the root cause, you learn why something broke—making you a better developer.
2. Generate Clean Documentation
Generate JSDoc/docstring documentation for this function: [paste function]. Include parameter descriptions, return type, and a usage example.
Documentation is often the first thing to get skipped. This prompt makes it effortless—your future self will thank you.
3. Explain Complex Code
Explain this code line by line for someone who's intermediate level. Point out any patterns or best practices being used: [paste code]
Inherited a legacy codebase? Reviewing a pull request? This prompt breaks down complex logic into understandable pieces.
4. Write Unit Tests
Write comprehensive unit tests for this function using [Jest/PyTest/etc]. Include edge cases and error conditions: [paste function]
Testing is crucial but time-consuming. AI can generate the skeleton and edge cases—you focus on the business logic.
5. Refactor for Readability
Refactor this code for better readability while maintaining the same functionality. Explain each change you make: [paste code]
Clean code isn't just aesthetic—it's maintainable. This prompt helps you learn refactoring patterns you can apply yourself.
6. Convert Between Languages
Convert this Python code to idiomatic TypeScript. Keep the same logic but use TypeScript best practices: [paste code]
Switching tech stacks? This prompt doesn't just translate—it helps you write code that feels native to the new language.
7. Design Database Schemas
Design a PostgreSQL schema for a [describe application]. Include tables, relationships, indexes for common queries, and explain your normalization decisions.
Database design decisions made early can haunt you later. Get a second opinion before committing.
8. Optimize Slow Queries
This SQL query is slow on a table with [X million] rows. Suggest optimizations, indexes, or alternative approaches: [paste query]
Performance issues often appear in production. This prompt helps you think through optimizations before they become emergencies.
9. Generate API Boilerplate
Create a REST API endpoint in [Express/FastAPI/etc] for [resource]. Include input validation, error handling, and OpenAPI documentation.
Stop writing the same CRUD endpoints. Let AI handle the boilerplate while you focus on business logic.
10. Create Regex Patterns
Create a regex pattern for [describe pattern]. Explain how it works and provide test cases showing what matches and what doesn't.
Regex is powerful but cryptic. This prompt generates patterns you can actually understand and maintain.
11. Write Git Commit Messages
Generate a conventional commit message for these changes: [paste git diff]. Keep it under 72 characters for the summary.
Good commit messages make git history useful. This prompt follows conventions so your commits are consistent and searchable.
12. Design System Architecture
Design a system architecture for [describe requirements]. Consider: scalability, reliability, cost, and team expertise. Suggest technologies and explain tradeoffs.
Before writing code, think through the architecture. This prompt helps you consider factors you might miss.
13. Generate Mock Data
Generate 20 realistic mock JSON objects for [describe entity]. Include variety in values to test edge cases.
Testing with realistic data catches bugs that synthetic data misses. Perfect for frontend development and API testing.
14. Security Audit Code
Review this code for security vulnerabilities. Check for: SQL injection, XSS, auth issues, secrets in code, and OWASP Top 10: [paste code]
Security issues are expensive to fix later. This prompt gives you a first-pass review before code reaches production.
15. Generate CLI Tools
Create a Node.js CLI tool that [describe functionality]. Use commander.js for argument parsing and include help text.
Automate your workflow with custom CLI tools. AI can generate the structure—you add the domain logic.
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