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Introduction

DeepDocs is a GitHub AI agent for continuous documentation.

Whether it's API references, SDK guides, onboarding tutorials, or your README, DeepDocs automatically keeps your documentation stay accurate and up-to-date with your changing codebase.

💡 Why DeepDocs?

Keeping documentation up-to-date with evolving code is a persistent challenge.

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 Outdated docs confuse developers, slow down onboarding, but most importantly frustrate users which eventually lead to a loss of trust.

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-based and Agentic AI methods to create a rich mapping between your source code and documentation files. When your code changes (e.g. on main branch), it updates the relevant documentation affected by the changes, and keeps them on a separate branch (e.g. deepdocs-update-main).

🚀 Key Benefits

Continuous Documentation

DeepDocs is designed to be a CI/CD pipeline. Every time you commit changes, it scans your codebase and updates the relevant documentation. This way, docs and code alway stay together - forever.

Deep Scan

At every commit, DeepDocs performs a deep and thorough scan of your entire repository to find outdated documentation

Set-up free

DeepDocs provides a simple web UI that requires no additional set-up to get started.

Intelligent Updates

Instead of generating 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.

What's next

  • Quickstart: Get started with DeepDocs in under 1 minute