Overview
Red/green TDD is a simple but effective technique for improving coding agent results. Test-driven development protects against the common problems of non-working or unnecessary code that AI agents often produce.
Key Points
- Use “red/green TDD” as a succinct prompt to get better results from coding agents - prevents common AI coding mistakes like broken or unnecessary code
- Test-driven development means writing automated tests first, confirming they fail (red), then implementing code until tests pass (green) - ensures robust code quality and future regression protection
- The red phase is critical - you must confirm tests fail before implementation - skipping this risks building tests that already pass and don’t actually validate your code
- Both major AI models understand “red/green TDD” as shorthand for the full test-first development process - saves time explaining the entire methodology
- Works effectively with coding agents like Claude Code and ChatGPT’s code environment - provides a practical framework for AI-assisted programming