Practical strategies for debugging AI-generated code

Short summary

A practical guide to debugging AI-generated code, emphasizing that AI lacks project context and often produces syntactically correct but logically flawed output. Key strategies include treating AI like a junior developer with mandatory code review, generating code incrementally for easier debugging, verifying package compatibility, using structured logging before breakpoints, and testing edge cases. The article targets developers using tools like Copilot, ChatGPT, Claude, Gemini, and Cursor.

• •Treat AI-generated code like a junior developer's PR—review before running
• •Generate and validate code incrementally rather than in large blocks
• •Verify package versions and test edge cases AI commonly overlooks

Generated with AI, which can make mistakes.