Code review is manual, slow, and nobody does it consistently. So I built CodeAtlas — an AI agent that monitors your repos 24/7, flags quality issues, and opens PRs with the actual fixes. Your technical debt just got a mortal enemy.
CodeAtlas: Turn any GitHub repo into an interactive dependency graph (the React source looks really cool as a graph!)
(live website on GitHub page)
github.com/lucyb0207/CodeAtl…
CodeAtlas: visualise github repos as interactive dependency graphs, helps you when navigating large codebases
(live demo link on GitHub page)
Github: github.com/lucyb0207/CodeAtl…
currently working on codeatlas - a tool to visualise github repos as interactive dependency graphs and also on growing my substack and sharing advice on there
lucybatten.substack.comgithub.com/lucyb0207
currently building CodeAtlas - which visualises GitHub repos as interactive dependency graphs, any feedback super helpful at this stage!
github.com/lucyb0207/CodeAtl…
🎂 CodeAtlas - My entry for @HuggingFace MCP's 1st Birthday Hackathon!
Turn any GitHub repo into AI-generated architecture diagrams with voice narration 🗺️🔊
Built with Gradio, LlamaIndex, Gemini, OpenAI & ElevenLabs
Try: huggingface.co/spaces/MCP-1s…
Demo: youtu.be/J8dcTLzNgpE
@GitHubNext Stumbled upon #CodeAtlas: bityl.co/JZpE. A blend of LLM's fluid reasoning & rigid structure - truly impressive! Raises a question though: Would a compiled language or a pure functional language like Elm enhance robustness & accuracy?