Documentation.AI
Build AI-ready docs that update themselves from Git commits
In the age of coding agents like Cursor and Devin, your documentation isn't just for humans—it's training data. Documentation.AI understands this shift perfectly. Unlike **GitBook** or **ReadMe** which focus on human readability, this tool optimizes your docs for *machine* readability (via MCP and semantic chunking) while keeping them beautiful for users. It essentially turns your API reference into a growth engine where AI agents can accurately cite and use your product. If you're building dev tools today, this is the 'AI-native' infrastructure you didn't know you needed.
Why we love it
- Optimized for AI Agents (Cursor/Devin) to consume, turning docs into a growth channel
- Solving the 'stale docs' problem by analyzing Git commits for updates
- Lightning-fast setup (< 5 mins) with beautiful default aesthetics
- Built-in end-user AI assistant reduces support tickets
Things to know
- Localization/Translation support is still in the roadmap
- Default behavior creates a public repo (can be toggled, but confusing for some)
- Custom linting rules not yet available
About
Documentation.AI is a next-gen documentation platform designed for the AI era. Unlike traditional tools like GitBook, it structures your content (via MCP and semantic chunking) so AI agents like Cursor and ChatGPT can accurately read and cite your product. It also features an autonomous agent that monitors Git commits and Jira tickets to keep docs continuously synchronized with your code.
Key Features
- ✓AI-ready structure (MCP/Semantic Chunking)
- ✓Auto-updates via Git Commit analysis
- ✓Built-in AI Q&A assistant for users
- ✓OpenAPI/Swagger 3.0+ support
- ✓Multi-language code example generation