I built Codocly: An AI Documentation Generator that reads your actual code (not just your comments)

**The Problem: Documentation is a lie

We have all been there. You open a README.md, and it says "Install via npm"... but the project is written in Python.
**
Static documentation rots faster than vegetables in a warm fridge. As soon as you update a function signature, the beautiful Gitbook page you spent 3 days writing becomes technical debt.

I got tired of my docs lying to my users.

The Solution: Codocly
Built for how developers actually work.

Codocly is a complete engineering toolkit designed to handle the heavy lifting of technical documentation, so you can stay in flow and focus on building.

👉 *Visit the platform: codocly.in
*
🧠 How Codocly Works (The Complete Toolkit)
Codocly isn't just another AI wrapper. It's a multi-layered engineering platform:

1. Analysis — Structural Code Analysis Codocly doesn't just read text; it uses tree-sitter AST parsing to understand your code's architecture. It extracts every function, class, API route, and relationship to ensure documentation is technically accurate.

✅ Production ready | Auto-updating

1. AI Intelligence — Multi-Model AI Orchestration Every documentation task is routed to the specialized AI model best suited for it:

GPT-4o → Code reasoning

Claude 3.5 Sonnet → Technical writing

DeepSeek → Summarization

This ensures premium quality output, every time.

✅ Production ready | Auto-updating

1. *Integration *— Instant GitHub Fetching Sync your repository in seconds. Simply paste a public GitHub or GitLab URL, and our system fetches all source files via API—no cloning or manual configuration required.

✅ Production ready | Auto-updating

1. Output — Markdown & README Generation Generate a professional README.md or a complete Markdown documentation set ready to commit to your repository root or paste into your company wiki in one click.

✅ Production ready | Auto-updating

1. Refinement — AI Document Editor & Git Sync Seamlessly connect GitHub or GitLab repositories. Pro users can refine and refactor documentation directly within our high-fidelity AI editor. Keep your docs in perfect sync—if you update your code on GitHub, one click regenerates the entire document to reflect your latest changes.

✅ Production ready | Auto-updating

1. *Interactive *— Interactive AI Doc Chat Turn your documentation into an interactive expert. Pro users can open a chat assistant on any document to ask specific questions about the codebase structure and logic.

✅ Production ready | Auto-updating

1. Scalability — Team Collaboration Built for scale. Share repositories with your team, manage role-based access, and track documentation usage across your entire organization with a shared dashboard.

✅ Production ready | Auto-updating

Codocly uses a hybrid AST + LLM approach:

Codocly turns this:

🚀 Why Codocly is Production Ready
✅ Tree-sitter AST parsing → Perfect accuracy, no hallucinations on structure

✅ Multi-model orchestration → Best-in-class AI for every task

✅ GitHub/GitLab sync → One-click regeneration on code changes

✅ Role-based access → Enterprise-ready team collaboration

✅ Interactive doc chat → Ask questions about your codebase

Stop writing. Start generating.
If you are maintaining a technical codebase, you need your docs to be part of the CI/CD pipeline, not a separate chore.

Check out Codocly today.

🔗 Platform Link: https://codocly.in
🔗 Use Case: AI Documentation for Technical Teams

📬 Let's Connect
I'm actively building Codocly and would love to hear your feedback, feature requests, or just geek out about AST parsing and LLMs.

📧 Email: [e-mail] | [e-mail]

📷 Instagram: @builddwithmayur | @codo_cly

Drop a comment below if you want support for Rust, C++, or a specific framework. I read every message.