Use case
Build a Code Documentation Agent
Read a codebase and generate accurate, current documentation for public APIs, internal modules, and architectural decisions.
Documentation written once and never updated is worse than no documentation: it actively misleads. A code documentation agent solves this by generating docs from the live codebase on each release, so the documentation tracks the implementation rather than the version from six months ago. Engineers building this need to handle large codebases without exceeding context limits, generate documentation at the right level of abstraction for the audience, and publish to wherever developers actually read docs.
The stack
Each pick is a real entry on the index. Click any one for the full detail page.
- 1A Agents Documentation Agent
Claude Code
by Anthropic
Why this: Claude Code reads source files with full understanding of the language semantics, infers the intent behind functions and modules, and writes documentation that explains the why alongside the what. It handles undocumented code better than docstring extractors because it generates missing descriptions rather than leaving blanks.
Full entry - 2M MCP Source + Publish
GitHub MCP Server
by GitHub
Why this: The MCP GitHub server reads source files from the repository and writes generated documentation back as pull requests. Docs changes go through the same review process as code changes, which is how teams keep documentation quality high without a separate approval workflow.
Full entry - 3M MCP Documentation State
Supabase MCP Server
by Supabase
Why this: Supabase tracks which files have been documented, when they were last updated, and whether the generated docs are current with the source. This prevents the agent from regenerating unchanged modules on every run and lets the team query for stale documentation.
Full entry - 4S Skills Docs Publishing
Mintlify Docs Skill
by Mintlify
Why this: The Mintlify skill handles publishing generated documentation to a Mintlify docs site. It manages the file structure, navigation, and page metadata that Mintlify requires, so the agent output is ready to deploy without manual reformatting.
Full entry - 5A Agents Interactive Documentation Review
Cursor
by Anysphere
Why this: Cursor lets engineers review generated documentation in the context of the source code it describes, making corrections in one place. Edits made in Cursor feed back to the generation prompt as few-shot examples, improving output on subsequent runs.
Full entry
Get this running with Enterprise DNA.
Enterprise DNA runs this agent against its own repositories to keep the internal skill index and API maps current. Documentation runs are triggered by the GitHub Actions workflow on each push to main, with the output reviewed in a PR before merging to the docs branch. OPM tracks documentation coverage as a project metric, so the team can see which modules are documented and which are flagged for the next run.
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Alternative stacks
Different angles on the same outcome.
Build a RAG Pipeline
The documentation this agent generates is the ideal input for a RAG pipeline that lets developers ask questions about the codebase.
See the alternative AlternativeBuild a Code Review Bot
Documentation and code review are natural complements. The code review bot surfaces quality issues in the code this agent documents.
See the alternativeOther use cases
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