Choose the right documentation platform, then set up the Git, CI/CD, and review workflows to run docs like code.

Move from Confluence, GitBook, MadCap, or DITA to a modern, AI-ready Docs-as-Code platform, redirects and link integrity included.

Documentation and API portals on Next.js, or inside Backstage, with search and role-based access.

Generate API references from code, wire docs into CI/CD, and set up AI agents that draft updates when your product changes.

Beautiful, branded themes for Sphinx, Docusaurus, and Starlight.

Advanced plugins, directives, and integrations for your documentation stack.

Make your docs work for AI assistants and agents: retrieval quality, MCP servers, and citability. Measured, not hyped.

Deploy an AI assistant on your docs, powered by Biel.ai, and tuned so answers are actually accurate.

Design the information architecture and content structure that scales with your product, users, and team.

Set up, fix, and tune documentation search, Algolia DocSearch or a self-hosted engine, so users find the right page.

Instrument your docs with a real tracking plan, so you can see what users read, copy, search, and finish.

Keep your docs infrastructure reliable and current, from dependency updates to drift detection and AI-readiness monitoring.

Senior specialists who run your Docs-as-Code toolchain, ship documentation alongside releases, and keep technical knowledge current.