Quoting Armin Ronacher
AI-generated GitHub issues are flooding open source projects with low-quality, overconfident slop
“The most frustrating failure mode right now is that people submit issues that are not in their own voice. They contain an observed problem somewhere, but it has been thrown into a clanker and the clanker reworded it and made a huge mess of it.”
Armin Ronacher, creator of Flask and now working on Pi, warns that AI-generated issue reports are degrading open source project quality — producing confident-sounding but inaccurate root cause analyses, fake minimal reproductions, and hallucinated implementation strategies. He advocates returning to bare human observations: command run, expected behavior, actual behavior, exact error. This signals a growing backlash from OSS maintainers against agentic AI workflows that outsource communication itself.