Doctective

Doctective is a service for automatically synchronizing documentation with the current state of code in repositories. The tool tracks changes in the codebase and detects outdated fragments in Markdown files: README, instructions, reference materials. When documentation no longer matches the code, Doctective automatically makes edits and can create a separate pull request with fixes. This way, developers don't have to manually review every commit and check whether any description has become outdated.

The core value of the service is preventing discrepancies between the actual behavior of the code and what is written about it. This is especially important for projects where the codebase is updated frequently and documentation is maintained in the repository.

Doctective Features

Feature	Value
Website	doctective.app
Categories	Code review and quality, Documentation and comments
Publication date	June 9, 2026
Documentation type	Markdown files in GitHub repositories
Integration	GitHub
Work mode	Automatic change tracking and pull request creation
Distribution model	Not specified

Who is Doctective suitable for?

Doctective will be useful for developers and teams that actively maintain documentation in GitHub repositories and face the problem of it becoming outdated.

Teams with frequent code changes

If a project regularly changes its logic, interfaces, or file structure, documentation quickly loses relevance. Doctective takes over the routine work of synchronizing descriptions with the actual state of the project.

Developers using AI assistants

One of the key scenarios is protection against AI assistants reading outdated instructions. If an assistant relies on old descriptions, it can generate non-working code. Doctective helps keep documentation up to date so that AI tools receive accurate data.

How to use Doctective?

Connecting to a GitHub repository

The service works with GitHub repositories and Markdown documentation. To get started, you need to connect a repository to Doctective so the service can access the codebase and documentation files.

Automatic operation mode

After connection, Doctective tracks changes in the code and finds outdated documentation fragments. Edits are made automatically, and the service can create a pull request with fixes as a result. The developer only needs to review the proposed changes and approve them.

Key Doctective Features

Doctective performs two key tasks related to keeping documentation up to date.

Tracking code changes

The service monitors changes in the repository's codebase. With each significant update, it checks whether the descriptions presented in Markdown files have been affected.

Creating pull requests with fixes

If a discrepancy between the code and documentation is detected, Doctective makes corrections and formats them as a separate merge request. This allows the team to review the changes and accept them without manually editing documents.

Doctective Advantages

Doctective's key advantage is automating the documentation maintenance process. Instead of manually checking every commit and updating descriptions, developers receive ready-made fixes in the form of pull requests.

An additional benefit is protection against AI assistant errors. When documentation always matches the code, AI-based tools don't receive outdated instructions and don't generate broken code. This reduces the number of errors at the development stage and simplifies interaction with assistants.

Doctective Disadvantages

The service is focused exclusively on Markdown documentation in GitHub repositories. For projects using other documentation formats or other code hosting platforms, it may not be suitable.

It's also worth noting that Doctective works with documentation but does not check the quality of the code itself — other tools are needed for that. Detailed information about the service's limitations, performance, and accuracy is not fully disclosed in available sources.

What problems does Doctective solve

Doctective solves two related problems that arise during development.

Updating README and instructions

The service brings README, instructions, and reference materials in line with the current state of the code. This is especially relevant after frequent changes to the codebase, when manually tracking discrepancies is difficult.

Preventing broken code generation

Thanks to up-to-date documentation, AI assistants don't rely on outdated descriptions and don't generate code that doesn't work with the current version of the project. This reduces the risk of errors and decreases the time spent fixing problems.

Doctective Pricing

Current information about Doctective's pricing plans is not available in public sources. At this time, it is unknown whether the service offers a free tier, a trial period, or only paid plans. Before connecting the service, it is recommended to check the pricing on the official website doctective.app.

Doctective Terms of Use

Detailed terms of use for Doctective are not disclosed in open sources. It is known that the service is designed to work with GitHub repositories and Markdown documentation. It is recommended to review the terms on the service's official website before starting to use it.

Doctective Availability

Doctective is available for projects hosted on GitHub and works with Markdown documentation. The service is suitable for repositories where the codebase changes fairly frequently and documentation is maintained in the same storage. The ability to work with other platforms or documentation formats is not specified in the sources.

How Doctective differs from alternatives

Doctective focuses specifically on documentation, while many similar tools aim at code quality checking. Alternatives to the service include cubic, LaReview, Rosentic, Bito, Qodo, GitStart. Doctective complements tools such as Squire AI and other code review tools: it doesn't evaluate code but ensures that descriptions and instructions always match its current state. This makes it a useful addition to the existing development process.

Conclusion

Doctective is a tool for automatically synchronizing Markdown documentation with code in GitHub repositories. The service tracks changes and creates pull requests with fixes, saving developers time and preventing errors when working with AI assistants. It will be useful for teams that regularly update code and want to keep documentation up to date without manual effort. Questions about pricing and detailed terms of use remain open.