The author discusses the limitations of using AGENTS.md files to document AI coding policies, arguing that they fail to prove agent comprehension or provide auditable trails for actions. They propose a system called coding-ethos, which separates policy, agents, hooks, and code intelligence, with a configuration file (coding_ethos.yml) and standards (ETHOS.md) to manage rules and values. The latest version (v0.3.0) introduces policy extension seams, centralized routing, and persisted remediation evidence for denied actions, allowing for testable verdicts and recovery payloads. AI
IMPACT Enhances audibility and enforcement of AI coding policies by providing verifiable trails for agent actions and decisions.
RANK_REASON The item describes a specific software capability pack for managing AI coding policies, which falls under the 'tool' category.
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