DeepDocs is a GitHub-native platform-as-a-service (PaaS) that continuously synchronizes documentation with evolving codebases by monitoring repository changes and proposing relevant documentation updates. It belongs to the category of developer productivity tools and targets software teams who manage documentation in GitHub repositories. Its core functionality lies in helping teams maintain accurate and up-to-date technical content—such as onboarding guides, SDK usage examples, and architectural documentation—without requiring manual effort after every code change. The primary users of DeepDocs are development teams working on software projects where maintaining accurate documentation is essential for internal collaboration and external adoption. These teams often struggle with documentation falling behind due to time constraints or oversight. DeepDocs solves this by embedding directly into the existing GitHub workflow. Once installed, the system observes changes in designated branches and documentation folders. When code updates are detected, the platform automatically analyzes whether the associated documentation has become outdated. If so, it creates a new branch containing suggested edits, along with a detailed summary of what was changed and why. This approach differs from traditional AI coding agents or auto-documentation tools. Coding agents typically require user prompts and cannot track documentation drift over time. Meanwhile, auto-documentation systems like JSDoc or Sphinx are limited to extracting technical references from source code comments and don’t address broader instructional or narrative content. DeepDocs fills this gap by focusing on contextual, human-readable documentation—the type of content developers rely on to understand a system, troubleshoot problems, or get started with a new integration. The platform is optimized for teams using markdown-based systems such as Docusaurus, Mintlify, or mkdocs, and supports both monorepos and standalone documentation repositories. It integrates seamlessly with any GitHub Actions or CI/CD pipelines in use and doesn’t require teams to migrate to a new format or tool. Configuration involves a one-time setup where teams specify which files or folders constitute documentation, after which DeepDocs runs continuously in the background. Its design ensures minimal disruption to a developer's workflow while still delivering high-value updates. DeepDocs also prioritizes data privacy. It processes repository contents in real-time during runtime without storing or caching any data. All document analysis and update suggestions happen within the context of the GitHub session, and nothing is retained afterward. This makes the platform well-suited for teams concerned with privacy, compliance, and intellectual property control. Overall, DeepDocs enables software teams to maintain reliable, up-to-date documentation with minimal manual input. By automating the process of detecting and updating outdated content, the platform reduces the risk of knowledge gaps, improves onboarding, and ensures that technical documentation remains a trustworthy source of truth alongside the code it supports.