Docs that write themselves, agents that know your repo.

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June 19, 2026

2026 Rank: #1632

Moxie Docs

United States Jackalope Development Code documentation

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MCP

Docs that write themselves, agents that know your repo.

Automated Documentation Documentation Generation Source Code Documentation Documentation Maintenance Codebase Management GitHubFree + from $29/mo

Overview

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Overview

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Moxie Docs is an automated tool aimed at creating and maintaining documentation for GitHub repositories. It generates searchable documentation directly from the source code of a GitHub repository, making it easy to keep documentation up to date and consistent with the latest changes in the codebase.

Moxie Docs also integrates with AI development tools such as Claude, Cursor, Gemini, and Copilot. It identifies codebase conventions and spots existing documentation gaps when a repository is connected.

The tool delivers source-cited documentation as a PR for review, ensuring that all PRs are kept in alignment automatically. Moxie Docs detects changes, or 'drifts', in the codebase when new merges are made and flags any corresponding documentation that needs to be updated.

To facilitate this, it opens a 'Friday Cleanup' PR that encapsulates all the documentation changes required during the week. This approach ensures that the documentation remains relevant and current, thereby preventing it from becoming outdated or 'rotting'.

Moxie Docs also provides benefits for AI agents, offering a structured context that reduces token consumption and improves overall code quality.

Supported features

Key Features

Mcp Support For Claude Code
Rewrite Pull Requests To Match Templates
Scan Pull Requests For Doc Impact And Codebase Convention Drift
Auto Detect And Generate A Changelog
Q&a Ask Your Codebase Anything

Releases

Moxie DocsInitial

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Initial release

June 19, 2026

Initial release of Moxie Docs.

Author

Caden Sumner

@caden-sumner

founder & software engineer

Company

Jackalope Development

🇺🇸 United States

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1 tool

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Joined: June 2026

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$29/month

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Monthly

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14 days

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Code documentation Moxie Docs

United States Jackalope Development Code documentation

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Pros and Cons

Pros

Automates maintenance of documentation

Connected to GitHub repositories

Initial automatic documentation generation

Continuous updates on documentation

Checks codebase for changes

Flags documentation discrepancies

Provides pull request for review

Mitigates risk of dysfunctional codebase

Offers Moxie Control Protocol

Weekly 'Friday Cleanup' reviews

Offers searchable documentation

Identifies codebase conventions

Detects existing documentation gaps

Delivers source-cited documentation

Automatically aligns PRs

Keeps documentation relevant and current

Reduces token consumption

Improves overall code quality

Auto-documentation directly from source code

Flags new merges with drift

Documents auto-update with codebase changes

Provides architecture pages, conventions, walkthroughs

Cites every line to its code source

Weekly summarization of documentation changes

PRs for documentation changes

ChangeLog for every merge

Offers searchable workspace

Has PR description alignment

Generates from source

Checks each merge against docs

Regenerates stale pages

Provides MCP context for agents

Scopes to specific tasks

One reviewable PR weekly

Doesnt auto-merge any changes

Indexes repositories

Prevents outdated docs

Auto-summarizes conventions

Scoped access through GitHub App

Server-side token encryption

Human-in-the-loop automation

Live on Product Hunt

14-day free trial

Stop paying agents feature

Scoped GitHub App access

Server-side token encryption

Human-in-the-loop automation

Specific pricing plans

View 43 more pros

Cons

Limited to GitHub repositories

Manual merge needed

Weekly updates only

No setup migration

Creates only documentation PRs

Requires user reviewed PRs

Limited to codebase documentation

No code updates

No availability of instant updates

View 4 more cons

Q&A

What is Moxie Docs?

Moxie Docs is an artificial intelligence tool devised to streamline and automate the management and constant updating of documentation for various codebases found on GitHub repositories. It performs these tasks by hooking up a GitHub repository to Moxie Docs, enabling the tool to fabricate initial versions of the documentation and ensures its consistent updating to align with any modifications in the code.

How does Moxie Docs generate initial versions of codebase documentation?

To generate initial versions of codebase documentation, Moxie Docs connects to a GitHub repository. Upon connection, it begins to analyze the codebase, identifies the codebase conventions, and highlights any existing gaps in the documentation. Utilizing this information, Moxie Docs creates the first version of the documentation, delivering it as a reviewable pull request.

How often does Moxie Docs check codebase changes?

Moxie Docs checks the codebase for changes every time there is a merge. This allows Moxie Docs to maintain constant, real-time linkage between the code and its corresponding documentation.

What happens when Moxie Docs detects a drift between the existing documentation and code changes?

When Moxie Docs notices a drift between the existing documentation and code changes, it identifies and flags the discrepancy. Following that, the tool regenerates the documentation to reflect the updates in the codebase. The updated documentation is provided as a pull request for review and manual merge.

What is an MCP in Moxie Docs, and what is its use?

MCP (Moxie Control Protocol) is an innovative system designed by Moxie Docs for AI agents. It specifically serves codebase context and conventions to AI agents in a format they can readily grasp and implement. MCP empowers the AI agents to work within the parameters outlined by the codebase developers, substantially reducing the need to rediscover codebase parameters with every task.

How does Moxie Docs contribute to increasing productivity and reducing errors for AI agents?

Moxie Docs enhances productivity and reduces errors for AI agents by providing them with the context of the codebase through the Moxie Control Protocol (MCP). This negates the need for the AI to rediscover the codebase with every task, allowing agents to work faster and with fewer mistakes. The protocol also ensures that AI agents comply with the guidelines set by the codebase developers.

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What exactly happens in the 'Friday Cleanup' of Moxie Docs?

The 'Friday Cleanup' is a weekly key feature of Moxie Docs. Each week, Moxie Docs reviews all merges made over the past week and opens a documentation-only pull request. This ensures no discrepancies get overlooked. This process facilitates consolidated review and updates to documentation, keeping it comprehensive and precise.

How does Moxie Docs ensure the accuracy of codebase documentation?

Moxie Docs assures the accuracy of codebase documentation by continuously updating it in line with any changes made to the code. Every time a merge happens, Moxie Docs checks the codebase for changes and flags discrepancies. If there's a drift between the existing documentation and the code changes, Moxie Docs regenerates the relevant documentation. The updated documentation is provided as a pull request for manual review and approval, ensuring its accuracy.

What is the role of pull request reviews in Moxie Docs?

Pull request reviews play a vital role in Moxie Docs software. When a drift between the current documentation and code changes is detected, Moxie Docs produces the revised documentation in the form of a pull request. This allows users to review the updated documentation, ensuring its accuracy and relevance before it's manually merged.

How does Moxie Docs mitigate risks associated with dysfunctional or incorrect codebase conventions?

Moxie Docs mitigates risks related to dysfunctional or incorrect codebase conventions by maintaining a constant, real-time linkage between the code and its corresponding documentation. When a discrepancy is detected, Moxie Docs flags it and regenerates the documentation to reflect the updated codebase. This system ensures that no dysfunctional or incorrect codebase conventions are passed on to AI agents.

Can Moxie Docs work with multiple GitHub repositories at the same time?

Yes, Moxie Docs has the capability to work with multiple GitHub repositories simultaneously. It offers plans that support varying number of repositories based on the needs of the user.

How does Moxie Docs alert me if there is a discrepancy in my codebase?

Moxie Docs alerts you of a discrepancy in your codebase through pull request reviews. If a drift is detected between the existing documentation and the code changes during a merge, Moxie Docs flags the discrepancy. It then generates updated documentation which is provided as a pull request for review.

What does Moxie Docs do if there's a discrepancy between the codebase and its corresponding documentation?

If Moxie Docs detects a discrepancy between the codebase and its corresponding documentation, it flags the issue. Following that, it regenerates the documentation to match the up-to-date codebase. This revised documentation is provided in the form of a pull request for review.

How does Moxie Docs contribute to software development and coding conventions?

Moxie Docs contributes to software development and coding conventions by streamlining the process of maintaining and updating the documentation that corresponds to the codebases on GitHub repositories. By providing real-time updates, flagging discrepancies, and generating documentation pull requests, it ensures that codebase conventions are accurately represented and adhered to.

What are the key features of Moxie Docs that assist in real-time updates and codebase maintenance?

Major features of Moxie Docs that assist in real-time updates and codebase maintenance include automatic generation and consistent updating of codebase documentation, merge-based codebase change checks, flagging and rectification of discrepancies, and the 'Friday Cleanup' feature for consolidated review and updates to documentation. In addition, it offers an MCP (Moxie Control Protocol) for AI agents, which provides them with the codebase context and conventions, enhancing productivity and reducing errors.

What formats does MCP support for AI agents?

Caden Sumner

🛠️ 1 tool

wrote:

Moxie Control Protocol (MCP) serves codebase context and conventions to AI agents in an easily comprehensible and applicable format. Once you connect a repo we open a PR to update (or add) your AGENTS file & Moxie Docs skills, when you configure your tool (Claude Code, Codex, Cursor, etc.) with our MCP we give agents direct access to your conventions, tools to detect impact to docs, and to find docs that need updates or may be out of date.

How will Moxie Docs help me in maintaining comprehensive and accurate codebase documentation?

Moxie Docs assists in maintaining comprehensive and accurate codebase documentation by automatically generating initial versions of documentation upon connecting a GitHub repository. It keeps this documentation updated in real time, aligning it with every code change. It also conducts a weekly 'Friday Cleanup' that allows for consolidated review and updates. In case of a drift between the existing documentation and code changes, Moxie Docs flags the discrepancy, regenerates the documentation, and provides it as a pull request for manual review and merge.

What is Moxie Docs?

Moxie Docs is an AI tool designed to automate the process of maintaining and updating documentation for codebases on GitHub repositories. It generates initial versions of the documentation and continuously updates it in line with any changes made to the code, providing real-time linkage between the code and its corresponding documentation.

How does Moxie Docs work with GitHub repositories?

Moxie Docs connects a GitHub repository, where it checks the codebase for changes with every merge. It identifies codebase conventions and spots existing documentation gaps when a repository is connected. It is able to regenerate the documentation, which is delivered as a pull request for review, ensuring that all pull requests are kept aligned automatically.

How are the initial versions of documentation generated by Moxie Docs?

Moxie Docs generates initial versions of documentation directly from the source code of a GitHub repository. The tool identifies codebase conventions and existing documentation gaps, while providing source-cited documentation, making it easy to maintain consistency with the latest changes.

Can Moxie Docs detect changes in my codebase?

Yes, Moxie Docs has the ability to detect changes, or 'drifts', in the codebase when new merges are made. It checks the codebase for any changes with every merge, flagging any discrepancies between the existing documentation and these changes.

What happens if Moxie Docs detects a discrepancy between the documentation and code changes?

When a discrepancy between the existing documentation and code changes is detected, Moxie Docs flags it and regenerates the documentation based on the changes in the codebase. This regenerated documentation is then provided as a pull request for review and manual merge, ensuring the documentation remains up-to-date.

How does the 'Friday Cleanup' feature of Moxie Docs work?

The 'Friday Cleanup' is a feature of Moxie Docs that reviews merges made over the past week and opens a documentation-only pull request to ensure nothing falls through the cracks. This allows for consolidated review and updates to documentation, ensuring comprehensive and accurate codebase documentation.

What is the Moxie Control Protocol (MCP) and how does it benefit AI agents?

The Moxie Control Protocol (MCP) is a supplement system provided by Moxie Docs for AI agents. The MCP delivers codebase context and conventions to AI agents in a format they can easily understand and apply, serving as an effective, streamlined way for AI agents to work within the parameters set by the codebase developers, without having to rediscover the codebase on every prompt. This contributes to increased productivity and reduced errors.

How does Moxie Docs help maintain documentation accuracy?

Moxie Docs maintains documentation accuracy by continuously updating it to align with any changes made to the code. It checks the codebase for changes with every merge and flags discrepancies, ensuring a real-time linkage between the code and its corresponding documentation. It also offers the 'Friday Cleanup' feature to review merges made over the past week, performing consolidated updates to the documentation.

Can Moxie Docs integrate with AI development tools such as Claude, Cursor, Gemini, and Copilot?

Yes, Moxie Docs can integrate with AI development tools such as Claude, Cursor, Gemini, and Copilot. This compatibility helps the tool identify codebase conventions and spot existing documentation gaps, delivering source-cited documentation for review and alignment with all pull requests.

What is codebase drift detection in Moxie Docs?

Codebase drift detection is a feature of Moxie Docs where it identifies changes or 'drifts' in the codebase with each new merge. When it detects a drift, it flags any corresponding documentation that needs to be updated, ensuring that the documentation remains current and relevant.

How does Moxie Docs generate searchable documentation?

Moxie Docs generates searchable documentation directly from the source code of your GitHub repository. This direct sourcing enables it to maintain consistency with all the latest updates and changes in the codebase, making it easier to keep the documentation up-to-date.

Does Moxie Docs create pull requests for documentation changes?

Yes, Moxie Docs creates pull requests for documentation changes. When it identifies a discrepancy between the existing documentation and changes in the codebase, it regenerates the documentation, which is then provided as a pull request. This allows for the review and manual merger of the updated documentation.

How does Moxie Docs handle updates to the documentation?

Updates to the documentation in Moxie Docs are managed through a continuous checking process that aligns with each code merge. It flags discrepancies and regenerates the documentation based on code changes, delivering the updated documentation through a pull request for review.

Is there any risk of Moxie Docs making false detections or errors?

While the use of AI always involves a degree of uncertainty, Moxie Docs is designed to mitigate the risk of errors and false detections by continuously checking the codebase for changes, flagging discrepancies and delivering updated documentation through pull requests that are subject to human review and merge.

Is the documentation generated by Moxie Docs reviewable before any changes are made?

Yes, Moxie Docs generates updated documentation that is reviewable before any changes are made. This documentation is provided as a pull request and requires review and manual merging, providing developers the opportunity to examine and ensure the accuracy of the updates.

What is the token consumption reduction feature in Moxie Docs?

The token consumption reduction feature in Moxie Docs refers to its ability to deliver dense, pre-structured context to AI agents, providing them with codebase conventions and reducing their need to re-read the entire repository for each prompt. This focused efficiency leads to a reduction in the token consumption of the AI agents.

Can the documentation provided by Moxie Docs be considered a reliable source for understanding the codebase?

Yes, the documentation provided by Moxie Docs is considered a reliable source for understanding the codebase. The tool generates this documentation directly from the source code of the GitHub repository and continuously updates it to be in line with any changes made to the code. Furthermore, all documentation updates are highlighted in pull requests, reviewed and manually merged, ensuring their accuracy before becoming part of the official documentation.

How often does Moxie Docs check for changes in the codebase?

Moxie Docs checks the codebase for changes with every merge. This frequent checking allows it to maintain a real-time linkage between the code and the corresponding documentation, ensuring that the documentation is always up-to-date.

How will Moxie Docs improve code quality?

Moxie Docs improves code quality by maintaining accurate and updated documentation that properly mirrors the codebase. By identifying and filling documentation gaps, serving dense codebase context and conventions to AI agents, and constantly regenerating documentation in line with code changes, Moxie Docs enables a clear understanding of the codebase, increasing productivity.

How does the Moxie Docs tool stay updated with the latest changes in my codebase?

Moxie Docs stays updated with the latest changes in your codebase by continuously checking the codebase for changes with every merge. Any discrepancies are flagged, and the tool regenerates the documentation based on these changes, providing updated documentation as a pull request for review and manual merge.

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Moxie Docs

Overview

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Key Features

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Caden Sumner

Pricing

Built With AI

Also used for

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Caden Sumner

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