Yara Salcedo

Trustworthy documentation captures engineering intent, not just visible behavior.

Bring documentation updates into your CI/CD pipeline as gated, versioned artifacts.

Treat documentation as a versioned pipeline artifact that updates when code changes, not after.

Embedding documentation updates in code workflows prevents the drift that makes manuals unreliable.

Design APIs with explicit schemas so agents can call them reliably.

Bundled platforms prevent architectural gaps that bolt-on tools can't fix.

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

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

Benchmark data shows chunking strategy matters as much as your embedding model.

Semantic search matches user intent, not just keywords, making docs findable for humans and AI.

Balancing chunk size and loader choice determines whether your documentation RAG actually works.

Your documentation quality matters far more than your AI vendor choice.

Documentation strategy hinges on whether you ship an SDK or point developers at raw HTTP.

Keeping your OpenAPI spec aligned with reality requires more than good intentions.

How Git-connected platforms prevent API documentation from drifting out of sync.

JSON Schema alignment and the query method eliminate years of workaround debt.

Documentation that scores well can still fail users who need different answers than authors assumed.

Better documentation constrains agent errors where model upgrades alone cannot.

Documentation must evolve from static text into structured data agents can query.