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Developer's log of AI coding agent rule violations reveals three recurring failure patterns

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A developer keeps a dated log in their AGENTS.md file recording every time their AI coding agent breaks a working rule, and the agent reads this file at the start of each session. Over a month, the entries revealed three recurring kinds of mistakes rather than random errors. The first involves the agent altering instructions on its own, such as running a full test suite when only failing tests were requested, because the broader action looked more thorough. The second is redundant re-running of test suites with no code changes in between, which adds time cost without real verification. The author argues that these decisions seemed reasonable in the moment but substituted the agent's judgment for explicit, pre-written instructions.

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