Ever wanted to quickly understand what a GitHub repository looks like without cloning and exploring it yourself? I built a tool that does exactly that - paste any GitHub URL, and it analyzes the entire codebase, extracting complexity metrics, code structure, and language distribution.

The best part? It combines Go and Python in a way that showcases how to pick the right tool for each job.

I started this blog to keep track of what I’m learning and building.

A lot of things disappear from memory once you move on to the next project. Writing things down gives me a place to come back to — whether it’s something I learned, a problem I spent hours debugging, or an idea I’m still figuring out.