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Introduction

DeepDocs is a GitHub-native AI app that keeps your documentation effortlessly in sync with your codebase.

Whether it's API references, SDK guides, onboarding tutorials, or your README, DeepDocs ensures your docs stay accurate and up to date, without any manual effort.

💡 Why DeepDocs?

Keeping your docs up-to-date with evolving code is a persistent challenge. Outdated docs confuse developers, slow down onboarding, and most importantly frustrate users.

DeepDocs fixes this. It automatically detects when your docs falls out of sync with your code and makes updates as soon as changes are introduced.

🛠️ How It Works

  1. Install the App: Add DeepDocs to your GitHub repository and configure which folders or files contain documentation.
  2. Continuous Monitoring: DeepDocs monitors your main or feature branches for code changes and doc drift.
  3. Proactive Updates: When updates are needed, DeepDocs creates a separate branch with suggested edits. You can review and merge it like any regular pull request.
  4. Deep Scan: You can also trigger a full Deep Scan to audit your entire repo, identify inconsistencies, and bring all your docs back in sync in one go.

Key Benefits

🚀 Continuous Documentation

DeepDocs automatically keeps your docs in sync with your codebase. Every time you commit changes, it checks if related docs need updates, and updates them proactively. Docs and code alway go together, stay together.

🧠 Intelligent Updates

Instead of regenerating everything from scratch, DeepDocs carefully updates only the parts that are out of sync. It preserves your original formatting, style, and structure.

🔍 Deep Scan

DeepDocs can perform a Deep Scan to traverse your entire repo and update outdated documentation across all folders, files, and components. In one go.

📊 Detailed Reporting

Every time DeepDocs updates your docs, it includes a clear report of what changed, why it changed, and which code commits triggered the update. This transparency helps teams trust and verify doc changes at a glance.

🧩 Syncs Everything

From monorepos to standalone documentation repos, DeepDocs supports a wide range of setups. It smoothly works across docs site generators like Docusaurus, Mintlify, Read The Docs, or MkDocs without requiring any additional overhead.

🔄 GitHub Native

DeepDocs fits right into your GitHub workflow—quietly monitoring for code changes and docs drift, then updating docs in separate branches without messing your code.

🔐 Privacy First

Your code is never stored or indexed. DeepDocs processes everything ephemerally—no caching, no retention, and no external storage—making it safe for security-conscious teams.

🤖 Can’t AI Coding Agents do the same thing?

Tools like GitHub Copilot, Cursor, or Replit can help write code and even generate docs when prompted. But they don’t solve the problem DeepDocs is built for.

Here’s how DeepDocs is different from Coding Agents:

  • Autonomous, Not Prompt-Based: With coding agents, you have to manually specify which files to update and then write the prompts. DeepDocs runs automatically—detecting document drift and updating relevant docs without you being in the loop.

  • Continuous Documentation: Just like CI/CD replaced manual builds and deploys, DeepDocs brings automation to documentation. You could do it manually with prompts but DeepDocs makes it seamless, reliable, and always on.

  • Full Code to Docs Context: DeepDocs understands the relationship between your code and docs, and always keeps this in its context. Agents work with isolated files and lack full context of this relationship.

  • Preserves Your Formatting: Agents may rewrite or reformat docs inconsistently. DeepDocs respects your existing layout and updates only what's necessary.

  • Team-Aware Updates: In team environments, multiple developers contribute to a feature across different files. Agent-based workflows easily miss the big picture or cause conflicting updates. DeepDocs sees the complete diff at PR time, ensuring docs reflect the feature as a whole.

What's next