Docs As Code

Agents querying live documentation endpoints instead of stale training data.

MCP servers now handle docs retrieval; custom APIs require justifying their overhead.

AI assistants now answer from outdated docs unless your server keeps them current.

Agents now consume 45% of documentation traffic—but most sites are architected only for humans.

Reliable agents need documented constraints, not just better models.

Structure, not tone, solves the dual-audience documentation problem.

Documentation must be structured data, not opaque text, to guide AI agents reliably.

Stripping HTML bloat and adding machine-readable specs lets AI agents actually use your API docs.