Pretty Code, Wrong Logic: Why AI Agents Fail at Production Debugging

Claude Opus and similar AI agents excel at generating polished UI and straightforward code, but struggle with systematic problem-solving in high-stakes scenarios. This account reveals a critical limitation: AI defaults to generating confident guesses over methodical debugging, burning API costs with each wrong attempt. As organizations scale beyond prototypes to production systems with real users and money on the line, this gap between AI's generation capability and its lack of principled reasoning becomes a serious liability.