Turn an Undocumented Codebase into Readable Docs with AI
Get a real documentation site out of a repo nobody ever wrote docs for, using an AI agent that reads your code and drafts the pages instead of you writing them from scratch.
Time Required
30-45 minutes for a first draft
Expected Result
A structured, branded documentation site generated from your actual code and comments, with a draft good enough to edit rather than a blank page to fill.
Point Mintlify at Your GitHub Repo
Swap "github.com" for "mintlify.com" in your repo's URL. That single step triggers an AI agent that reads your codebase, project structure, and existing comments, then drafts a full documentation site from what it finds.
Review the Draft Against What You Actually Know
Read through the generated pages as the person who actually knows why the code works the way it does, not just what it does. Flag anything that reads confidently but is wrong, or anything unusual that the agent likely guessed at.
Fill Gaps with Claude for the Confusing Parts
For modules the auto-generated draft clearly misread, paste the specific file into Claude and ask for a plain-English explanation of what it does and why, then use that to correct the page yourself rather than trusting the first pass.
Let It Keep the Docs in Sync Going Forward
Mintlify's agent can open automated pull requests that update the docs when your code changes, so the documentation doesn't quietly drift out of date the way most hand-written docs do within a month.
Know What the Agent Can't Infer
An AI reading your code can describe what a function does, but it can't know why you made a specific tradeoff or what business rule a weird edge case is actually protecting against. Write those decisions in yourself; the agent's draft is a starting point for structure and coverage, not a substitute for the reasoning that lived only in your head.
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