How to automatically update documentation

Manually updating docs after every code change does not scale. You forget, you run out of time, and the docs drift. The fix is to make updates happen automatically. There is no single button for this, but there are a few methods you can combine. Here is how each works and when to use it.

Method 1: Generate reference docs from code

For anything that maps directly to code, generate it. An OpenAPI spec produces API reference through tools like Swagger UI or Redoc. TypeDoc and similar tools produce reference from your types and comments.

Wire the generator into your build so it runs on every commit. Now your reference can never be more than one commit behind your code, because it is rebuilt from the code every time.

This covers endpoints, parameters, and types. It does not cover guides or explanations.

Method 2: Publish docs straight from git

Keep your docs as markdown in your repository and connect a platform that syncs from git, like GitBook, Mintlify, or ReadMe. When you merge a change to the docs, the published site updates on its own.

This automates delivery. The moment a doc file changes, the live site follows. It does not decide what to change, only that a change should be published.

Method 3: Let AI fix the pages a change broke

The hardest part to automate is the prose. When you rename a concept or change how a feature works, some guide is now wrong, and a generator cannot fix it because it is not generated. This is where AI tools help.

A tool like uptodate reads the code change you merged, works out which existing docs it made inaccurate, and drafts the edits. It delivers them as a pull request, so the update is automatic but you still review before it ships. This closes the gap the other methods leave open, which is keeping written guides accurate as the code moves.

Method 4: Catch stale docs in CI

You can also automate detection instead of the fix. Run your code samples as tests so a broken example fails the build. Add a linter like Vale to enforce style. These do not update anything, but they stop stale or broken content from shipping.

Putting it together

A practical automated setup looks like this:

• Generate the API reference from code on every build.
• Host docs on a git-synced platform so publishing is automatic.
• Use an AI tool to catch and fix drift in the written pages, delivered as pull requests you review.
• Run doc tests in CI so broken examples fail before release.

Each method covers a different part of the problem. Generators handle reference. Sync handles publishing. AI handles prose drift. Tests handle correctness.

The one rule: keep a review step

Automatic does not mean unattended. Docs that are confidently wrong are worse than docs that are missing, so keep a human review on anything a model writes. The cleanest way is to have every automated edit arrive as a pull request. You get the speed of automation and the safety of review.

The short answer

To update docs automatically, generate what maps to code, sync your docs from git, and use an AI tool to fix the written pages your changes break. Keep every automated edit behind a pull request so nothing wrong ships unreviewed.