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GitHub + Cursor is just INSANE GitHub has 28 million open-source projects that anyone can fork and build a new product So I built a new product: Repo to Docs The Agent will scan entire GitHub repo, analyze all files and create a knowledge base (docs) for AI coding... show more
123,037 views • 11 months ago •via X (Twitter)
11 Comments

Cursor works 10x better with context. Cursor Agent can understand - how to insall that repo? - what the repo is for? (use case) - what tech stack? - new libraries to install? etc. Create docs with @CodeGuidedev and attach them in 1 click to Cursor/rules.

That's not the best part. Best part is this agent work with both private and public repositories. And it has 10M context window. I designed a layered analysis structure to scan large codebases.

Workflow is simple. 1. Copy the GitHub Repo URL 2. Paste the repo link in @CodeGuidedev Repo to Docs 3. Generate docs 4. Attach those docs to cursor Cursor Agent will install the repo in few minutes. Use open-source projects. Don't reinvent the wheel.

My goal is to make as to start sharing amazing open-source repos with docs already attached. These projects that can be turned into $10k MRR profitable SaaS. I'll be finding and posting 2-3 open-source repos daily. stay tuned and build solid projects.

this is exactly how ai agents unlock new products. data’s everywhere, you just need the right agent to process and package it.

Exactly. I did some experiments with Claude Code + Cursor and i am super excited for what's coming: Autonomous coding agents.

Does it work similar to how Gemini reads Github code?

Its alot more extensive. It's not just reading the ReadME page but going through entire codebase and understand complete structure and then writing a set of docs.

fork around and find out

How did you build codeguide without codeguide

Haha with v0, cursor, and bolt.

