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Introduction

DeepDocs is a GitHub-native AI app for continuous documentation to keeps your docs in sync with your changing 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 docs up-to-date with evolving code is a persistent challenge.

At the same time, the importance of up-to-docs cannot be overstated. Outdated docs confuse developers, slow down onboarding, but most importantly frustrate users which eventually lead to loss

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

DeepDocs uses a mix of classical tree and Agentic AI methods to create a rich mapping between your source code and documentation files. When your code changes, it updates the corresponding documentation files affected by the changes.

You can see DeepDocs in action in just 2 minutes! Simply configure DeepDocs on your repo, and make your first commit.

🚀 Key Benefits

Continuous Documentation

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

Deep Scan

At every commit, DeepDocs performs a deep and thorough scan of your ENTIRE repo. This is unlike AI Coding tools which looks at few files within its context.

Intelligent Updates

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

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.

Works With All Setups

From monorepos to separate 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.

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

Tools like GitHub Copilot, Cursor, or Claude Code 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 docs 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.

  • Pefect for Team Settings: 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.

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