Fix Your Outdated Docs on Autopilot
The AI agent that automatically scans & fixes outdated docs with a PR when your code changes, eliminating manual work.
7-day trial ✅ | No credit card required ✅ | One-click GitHub sign-in ✅
Used by Developers from
Why
AI agents need accurate docs. DeepDocs keeps them that way.
Accurate, up-to-date docs are critical for your software adoption in the age of AI. Inaccurate docs not only frustrate developers, but also mislead AI agents from using your tools.
Features
The AI Agent that never lets your docs go outdated
Built for teams who’d rather ship than spend time on an unavoidable chore.
Continuous Documentation
With every commit, DeepDocs scans your code base, identifies outdated docs and fixes them automatically with a PR. In other words, this is CI/CD for docs.
Deep Scan
Your entire repo is scanned on every commit, unlike coding agents which is dependent on the context of the ongoing task and doesn’t capture the context of the whole codebase.
Intelligent Updates
Instead of re-writing docs from scratch, DeepDocs updates only the parts that are outdated. It preserves your original formatting and style.
Detailed Logs
Get a clear log and report of which doc changed, why it changed, and which commits triggered the update.
GitHub Native
DeepDocs fits right into your GitHub workflow, quietly listening for code changes, then updating docs in separate branches without messing your current work.
Works with all setups
DeepDocs works with monorepos or separate docs repos and supports generators like Docusaurus, Mintlify, Read the Docs, and MkDocs without extra setup.
How it works
Start maintaining your docs in 30 secs
DeepDocs requires no set-up. Get started right now in just 3 steps
STEP 1
Sign in with GitHub and install the DeepDocs app on your repos.
STEP 2
Select the repo and branch where you want to keep docs updated.
STEP 3
Start a scan to get a PR with docs updates. Future commits trigger PRs automatically.
DeepDocs vs Others
The only fully automated way to keep your docs updated
DeepDocs fully embraces the philosophy of Continuous Documentation, keeping code and docs together, forever.
| Fully automated? | Updates higher level docs? | Intelligent updates? | |
| DeepDocs | ✅ Docs update automatically on every commit | ✅ Updates everything from SDK guides, API refs, examples to READMEs | ✅ Preserves existing documentation structure & format |
| Coding Agents e.g. Claude Code | ❌ | ✅ | ⚠️ Manual prompting |
| Swagger (OpenAPI) | ❌ | ❌ | ❌ |
| Sphinx (autodoc) | ❌ | ❌ | ❌ |
| Theneo | ❌ | ❌ | ⚠️ Manual prompting |
| Doxygen | ❌ | ❌ | ❌ |
| Docusaurus | ❌ | ❌ | ❌ |
| ReadMe | ❌ | ❌ | ❌ |
| Docuwriter AI | ❌ | ✅ | ⚠️ Manual prompting |
DeepDocs vs Coding Agents: Can’t they also update docs?
Agents like Copilot, Cursor, or Claude Code can write docs when prompted. DeepDocs solves a different problem
- Autonomous, Not Prompt-Based: Runs automatically on every commit to identify outdated docs and updates them without manual prompts.
- 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 always keeps the relationship between your code and docs in its context, unlike agents which work with isolated files and context that you don’t really know.
- Preserves Your Formatting: Agents may rewrite or reformat docs inconsistently. DeepDocs respects your existing layout and updates only what’s necessary.
- Pefect for Teams: In team environments, multiple developers contribute to a feature across different files. Agents can 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.
Testimonials and reviews
We’re creating a buzz already
Hear what people are saying about us on Social Media
Arvid Kahl
Building http://podscan.fm in Public. Raising all the boats with kindness | 170k Followers on X
Great plug, and wonderful solution to an actual problem lots of devs have.
Jaydeep
Software Engineering Influencer | 20k Followers on X
This is where DeepDocs AI GitHub AI agent can help
It’s an AI agent that keeps your:
✅ API docs
✅ SDK guides
✅ Tutorials
✅ References
Up-to-date with every code change. Watch this short demo on how it works
Caleb Friesen
Exploring Indian AI @strawberrysignl • 1M+ subscribers on YouTube at @bwmillionaires
Hi Neel, DMs are still broken so messaging you here lol DeepDocs made it into 🍓 Strawberry Signal this week!.
Pauline CX
IndieHacker andSAAS Influencer | 31k Followers on X
Updating docs is a boring activity, thank you for removing that fastidious task !
Joey Zhu
CEO of AltPage.ai
Omg, auto-updating docs with my code? That’s genius, fr. Outdated READMEs are the bane of my life—DeepDocs is gonna save me so much hassle!
R.J
CEO @ Ghost (@onghostai) 👻 | previously Goldman Sachs (
@goldmansachs)
That’s a game-changer automated doc updates with every PR? Say goodbye to stale documentation!
Masum Parvej
Creator of Hugeicons Pro & Head of Design at Halal Lab
Ugh outdated docs are the bane of every dev team’s existence.
Pricing
Simple pricing that scales with your needs
$30 25
/Seat/Month
Pro
For Individuals and Organizations
* Credits are consumed based on the number of documentation files processed by a LLM during a scan, and can vary between 0 and the total number of doc files that require analysis.
Frequently Asked Questions
Got questions?
What does DeepDocs do?
DeepDocs scans your codebase on every commit to detect documentation drift. When it finds outdated content, it automatically updates the documentation in a separate branch and opens a PR for your review.
Which platforms DeepDocs work with?
Currently DeepDocs works on Github, so your source code and documentation must be on GitHub. We will be expanding to other platforms like Gitlab soon.
How are credits consumed?
Credits are consumed based on the number of documentation files processed by a LLM during a scan, and can vary between 0 and the total number of doc files that require analysis.
How does the seat system work?
The seat system designed for small teams of developers working on repos owned by an individual or an organization. For example, if you are a team of 3 developers, you’d have to purchase 3 seats under the Pro plan, and you’ll get 100 x 3 = 300 scan credits / month.
I started a 7-day trial of the Pro plan, but would like to cancel it. What should I do?
You don’t have to do anything. After the 7-day trial, the documentation scans will be paused.
I would like to subscribe to Pro plan. What should I do?
If you started a trial and would like to subscribe, just click the button Subscribe on the top and complete the transaction.
What is the refund policy?
Once cancelled, your plan will continue until the end of the billing cycle. We do not offer partial refunds.
I am on an individual Pro plan but I need more credits.
Even if you are an individual, you can always buy an extra seat to get more credits. The individual plan has 1 seat by default with 100 scan credits, buying an extra seat gives you 200 scan credits per month.
How is my data used?
We store your code and docs securely on servers in the EU and US. Your data is only used to run DeepDocs and never for training models or improving LLMs. Nothing is shared with third parties, and everything is permanently deleted when you uninstall the app. If you have more questions, just email [email protected]
How can I delete my data?
To delete your data, uninstall the application from your workspace by clicking Add or Remove Repos-> Uninstall. We do retain some user account data (e.g. GitHub username, emails) and if you’d like to delete them, please email [email protected]. We will be implementing a self service deletion mechanism soon.