Docs As Code — Page 3

Git-native platforms eliminate documentation drift by keeping code and docs in the same repository.

Extracting structured knowledge from messy docs requires resolving entities, not just reading text.

Documentation now serves AI agents as first-class readers, reshaping what platforms must build.

MDX platforms split into self-hosted frameworks and managed SaaS services for different team needs.

AI agents now read more docs than humans, demanding different design choices.

AI systems cite sources based on structure and freshness, not search rankings.

Embedding similarity cannot detect when documentation becomes outdated.

Adaptive loops and multiple retrievers let agents decide when and how to search documentation.

MCP serves live documentation instead of stale indexes, making API lookups measurably more accurate.

Proper documentation structure helps agents navigate more reliably than flat retrieval alone.