Simon Willison — 2026-05-24#

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Today’s most resonant post is a highlighted quote from Armin Ronacher calling out the damaging rise of AI-generated “slop” in open-source issue trackers. It serves as a stark, practical reminder that while AI coding agents are powerful, developers must preserve raw, human-observed context in bug reports rather than relying on LLMs to rewrite and hallucinate root causes.

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[Quoting Armin Ronacher] · Source Simon amplifies Armin Ronacher’s frustration with a new, frustrating failure mode in open-source maintenance: AI-rewritten issue reports. Users are feeding observed bugs into LLMs (referred to as “clankers”), which spit out confident but highly inaccurate guesswork, fake-minimal repros, and irrelevant code analogies. The core takeaway is a plea to return to the basics of bug reporting: simply state what command you ran, what you expected, what actually happened, and provide the exact error log.