case study

Docny

IN PROGRESS

An AI-native platform for writing, hosting, and scaling developer documentation. Docny Guardian generates docs straight from a GitHub repository, and a site deploys in under five minutes.

Docny screenshot

the problem

Documentation is the first thing a developer sees and the last thing a team wants to maintain. Docs get written once at launch, then drift as the product ships around them, and the tooling makes it worse: static site generators need constant upkeep, hosted platforms fight the git workflow engineers already live in, and nobody owns the gap in between.

the solution

Docny closes the loop between the codebase and the docs that describe it. Docny Guardian reads a team's GitHub repository and generates documentation from what is actually there, so the starting point is never a blank page and updates track the code. Writers work in a browser-based WYSIWYG editor with real-time team collaboration, and readers get an embedded AI chat that answers questions against the docs instead of leaving them to search. Sites ship with custom domains and branding, a choice of templates, and analytics on what people are actually reading.

key features

  • Docny Guardian: AI documentation generated from a GitHub repository
  • Browser-based WYSIWYG editor with real-time team collaboration
  • Embedded AI chat that answers reader questions from the docs
  • Custom domains, branding, and a template system
  • Integrations across GitHub, Jira, Linear, Slack, Notion, and Algolia
  • Usage analytics and content auditing

stack

Next.js
TypeScript
MDX
AI
GitHub
Cloud