DeepDocs is a GitHub AI agent that automatically keeps your docs like API documentation, SDK guides, and tutorials in sync with your codebase, so you never have to manually update them again.

Key Features

• Continuous Documentation: Automatically detects and updates out-of-sync docs whenever your codebase changes—no manual effort required.

• Intelligent Updates: Preserves your existing doc format and structure without rewriting from scratch.

• Deep Scan: Scans your entire repository to fix broken docs.

• Syncs Everything: Supports every type of documentation—from single files to full directories, across monorepos or separate docs repos.

• GitHub Native: Integrates smoothly into your GitHub workflow and works with tools like Mintlify or Docusaurus.

• Privacy First: Your code repositories are never stored on our servers—only processed ephemerally when needed.

Benefits

• Save Time: Stop wasting time updating API docs, and user guides after every change. DeepDocs handles it automatically for you.

• Delight Your Users: Whether it’s internal team mates or external customers, your users will love you for keeping your docs accurate, complete, and always up to date.

• Prevent Documentation Drift: Keep your high-level docs tightly aligned with your evolving code, so nothing goes out-of-date or misleading.

• Ship with Confidence: Merge code without worrying about the docs. DeepDocs ensures your documentation keeps pace with your pull requests.

BackupLABS provides an automated way for organizations of all sizes to protect your critical data that is held within popular cloud based applications. The vast majority of these cloud based apps, make it very easy to onboard and import data to start using the app. Such as GitHub, GitLab, Trello, Jira, Asana and Notion.

However, none of them offer a robust backup solution so you can protect your most important asset - your data. Organizations are putting more and more critical data on these platforms and the providers T&Cs always state that the customer needs to backup and protect their own data. This is also known as the "Shared Responsibility Model".