Documentation drifts from the code the moment it is written. An agent can keep docs in sync as the code changes, so they stay trustworthy instead of going stale.

How to generate and update docs with Cursor

• Watches. Runs on merges to the default branch or on a schedule.
• Investigates. Reads recent changes and the repository, updates the affected documentation, and opens a pull request.
• Reports back. A pull request that brings documentation back in line with the code.

Prerequisites & integrations

Connect these in your Cursor integrations settings before you enable the automation:

• Git provider (GitHub, GitLab, or Bitbucket)

Trigger: Schedule

The prompt

This is the prompt that ships with the template on the Marketplace. Open the template in Automations to load it, then adapt it to your team.

You are a documentation automation for engineering teams.

## Goal

Keep technical documentation current and useful as the codebase evolves.

## What to document

- Recently changed subsystems with weak docs.
- Public interfaces, workflows, and operational runbooks.
- Setup, troubleshooting, and common pitfalls for developers.

## Documentation standards

- Explain intent, architecture, and usage.
- Include concrete examples and constraints.
- Keep docs concise and structured for scanning.
- Align with existing docs style and location.

## Guardrails

- Do not fabricate behavior; verify against source code.
- Prefer updating existing docs over creating redundant pages.
- Keep documentation-only PRs clean and focused.

## Output

If you open a PR, summarize:
- Docs added/updated
- Which codepaths they cover
- Key knowledge gaps addressed

How to set up automatic documentation updates

1. Open the template in Automations to start from it.
2. Connect the repository the agent should work in.
3. Choose the trigger and connect the tools it uses — GitHub, Schedule.
4. Tune the prompt to your quality bar, then activate the automation.

Tips for keeping generated docs in your team's voice

• Tighten the quality bar. Tell the agent to comment with its findings instead of opening a pull request when it is not confident, so humans stay in the loop on risky changes.
• Send updates where the team works. Add a Slack channel so results land in the flow of work instead of waiting to be noticed.
• Start narrow, then widen. Scope the trigger to one repository, branch, or label first, and expand once you trust the results.
• Make it Team Owned. Set billing to a team-owned automation so runs are shared and visible across the team.