I'm Urav. I build things with code.
This section auto-updates daily. It features one of my recent commits, or something interesting from my network, or a random gem from the wild. The commit gets roasted by an opinionated AI and rendered as a strange attractor.
Last updated: 2025-12-31
Commit: urav06/blitz-chess by @urav06 Β· c94f489
Message: "Add core types, board mutations, and state foundations"
Review: This commit dives straight into efficient data representations using bit-packing for pieces and squares, an absolutely critical optimization for chess engines. The use of const fn for geometric operations and Not for Color demonstrates a strong eye for both performance and ergonomic design from the get-go. This isn't just adding types; it's laying smart, optimized foundations.
Chaos: 75% Β· Mood: #3498DB
What is this?
The Pipeline:
- A GitHub Action runs daily and picks a commit (my own β network β starred repos β fallback)
- The commit diff is fed to Gemini, which produces a witty critique, a chaos score (0-100), and a mood color
- A Lorenz attractor is rendered using these parameters:
- Chaos score β modulates Ο (rho), affecting how chaotic the butterfly looks
- Mood color β tints the gradient from black β color β white
- Commit hash β seeds the initial conditions, so every commit is unique
The Math:
The Lorenz system is a set of differential equations that exhibit deterministic chaos. Small changes in initial conditions produce wildly different trajectories. It's the "butterfly effect", fitting for visualizing commits.
Links: