Your docs are now an API: writing for coding agents, not just humans

The text explores the evolving landscape of documentation, emphasizing the need for it to serve both human developers and coding agents effectively. It highlights the structural shift required to accommodate agents like Claude Code and Cursor, which execute tasks based on documentation rather than skimming for narrative context. This necessitates a documentation style akin to an API, with stable contracts, explicit inputs, and clear error handling, which improves both machine parsing and human readability. The text also introduces concepts like llms.txt, a proposed standard for indexing site content for LLM-based tools, and agent skills, which are structured task-level instructions that coding agents can execute. The document underscores the importance of designing documentation that is both human-readable and machine-discoverable, stressing that this duality should not be seen as a trade-off but as complementary. It recommends treating documentation with the same rigor as API design, complete with testing and maintenance, to ensure that both humans and machines can effectively utilize it.

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