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: 2026-02-08
Commit: dualeai/hpke-http by @clemlesne Β· cfe6112
Message: "refactor: centralize encoding labels via EncodingName enum
Derive KNOWN_ENCODING_BYTES from EncodingName in constants.py so adding a future encoding only requires updating the enum. Replace hardcoded _KNOWN_ENCODINGS frozenset and b"zstd" literal in fastapi middleware with KNOWN_ENCODING_BYTES and EncodingName.ZSTD.value.encode().
Replace hardcoded "identity" fallback in aiohttp/httpx _fetch_discovery() with EncodingName.IDENTITY.
Filter parse_accept_encoding() output to only known EncodingName values, symmetric with server-side validation β unknown encodings from discovery responses are now silently discarded instead of stored in _server_encodings."
Review: A truly solid move to consolidate magic strings into an enum, future-proofing extensions and reducing errors. While labeled a 'refactor,' the behavioral change to strictly discard unknown encodings in parsing is a brilliant shift towards robust, security-focused input handling; no more silently storing ambiguous nonsense.
Chaos: 65% Β· Mood: #4a90d9
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.
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