The author has adapted their documentation strategy to cater to AI agents rather than human readers, recognizing that agents interact with project files daily and lack human-like contextual understanding. This shift involves creating concise, fact-based documentation, such as in `key_facts.md`, which lists essential information like usernames and API endpoints. The author emphasizes that this documentation serves as a cache for the agent, requiring synchronization with detailed records to prevent errors, as demonstrated by a bug caused by outdated token scope information. AI
IMPACT Suggests a new paradigm for technical documentation, prioritizing conciseness and factual accuracy for AI agent consumption.
RANK_REASON Author's personal reflection and strategy shift on documentation for AI agents.
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