Building Pi With Pi

This article by Armin Ronacher discusses the experience of using an AI agent called Pi to develop the Pi project itself, a practice known as dogfooding. It explores how AI changes the role of issue trackers, as issue descriptions are now used as prompts for AI agents. The author highlights a growing problem: users submitting issues that are heavily rewritten by AI, leading to confident but inaccurate diagnoses, fake reproductions, and irrelevant code suggestions. This creates extra work because the AI agent (Pi) treats these flawed reports as evidence, often following incorrect paths. The article describes a custom slash command to mitigate this, but notes it's not fully effective. Overall, it's a tech-focused reflection on AI's impact on open-source software development workflows.