Building Pi with Pi

Using Pi (an AI agent tool) to build Pi itself has revealed significant challenges with AI-generated issue reports that often contain inaccurate diagnoses, over-expanded scope, and confident but false conclusions that mislead both humans and the AI system. The author advocates for human-written issue reports that stick to observed facts—what command was run, what was expected, and what actually happened—rather than AI-generated analysis that creates more work than value. The core problem is that AI systems treat confidently-written but incorrect diagnoses as reliable evidence, perpetuating errors downstream.