How I Use AI for Code Review and Debugging

AI has become my first line of defense for code review and debugging. I paste problematic sections and ask for potential issues. The AI often catches edge cases I missed, suggests better error handling, and points out security vulnerabilities. For debugging, describing the unexpected behavior usually yields hypotheses I had not considered. The key is to provide enough context and be specific about what you tried already. I never blindly accept suggestions, but the second set of eyes is invaluable. It has reduced my debugging time by at least half and caught bugs that would have reached production.