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Study finds AI coding agent setups mostly rely on context files, few use enforcing checks

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Many teams adopting AI coding agents begin by writing AGENTS.md files that describe conventions, architecture, and test commands. A study of 2,853 software repositories found 90.6% contained such context files, while only 0.9 to 3.2% included hooks that run checks during an agent's editing process. The article argues that instructions alone cannot guarantee behaviour, since a context file may tell an agent to run tests without ensuring they actually run. It frames maturity around which feedback loops a team can close, such as a type checker blocking a faulty change and returning feedback. The piece is the fifteenth chapter of a series proposing a maturity model for AI-assisted development.

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