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  • Melbourne, Australia
  • 04:02 (UTC +11:00)

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urav06/README.md

Hey πŸ‘‹

I'm Urav. I build things with code.

πŸ“Œ Featured Commit

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: 2026-01-17

Entropy

Commit: dualeai/exec-sandbox by @clemlesne Β· 5ee608d

Message: "perf(init): replace busybox with tiny-init (Rust)

Port minimal-init.sh to pure Rust, eliminating busybox dependency.

Performance improvements (5 concurrent VMs):

  • E2E latency: 839ms β†’ 744ms (-11%)
  • Boot time: 540ms β†’ 467ms (-14%)
  • Guest wait: 496ms β†’ 412ms (-17%)
  • Initramfs: 1.4MB β†’ 920KB (-34%)

Key changes:

  • tiny-init/: New Rust init binary (~450KB static ELF)
  • scripts/build-tiny-init.sh: Docker buildx multi-arch build
  • scripts/build-initramfs.sh: Use tiny-init instead of busybox
  • vm_manager.py: ARM64 console changed to ttyAMA0 (PL011 UART)
    • hvc0 fails on ARM64 virt (virtio-serial not ready at early boot)
    • ttyAMA0 is always available (memory-mapped hardware)

Technical details:

  • MS_MOVE + chroot for switch_root (pivot_root fails from initramfs)
  • Console redirect after switch_root, before execv
  • Native syscalls: mount, insmod, swapon (no shell fork/exec)
  • Static musl linking for both aarch64 and x86_64"

Review: Ah, this is how you do it. Ditching busybox for a purpose-built, statically linked Rust binary for init in a VM context? Brilliant. Less attack surface, native syscalls for actual speed, and performance numbers that aren't just wishful thinking. A solid win for real engineering.

Chaos: 80% Β· Mood: #008CBA

What is this?

The Pipeline:

  1. A GitHub Action runs daily and picks a commit (my own β†’ network β†’ starred repos β†’ fallback)
  2. The commit diff is fed to Gemini, which produces a witty critique, a chaos score (0-100), and a mood color
  3. A Lorenz attractor is rendered using these parameters:
    • Chaos score β†’ modulates ρ (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:

Browse the museum β†’ Β· See the code β†’

Pinned Loading

  1. dialectic dialectic Public

    A Rebuttal Engine for Computational Argumentation in Claude Code CLI

    Python 5

  2. research research Public

    The Meta-Learning Gap: Combining Hydra & Quant for Large-Scale Time Series Classification

    Python

  3. career-gradient-descent/content-optimizer career-gradient-descent/content-optimizer Public

    Content engine to minimize the loss function of job applications.

    Jinja 1 1

  4. career-gradient-descent career-gradient-descent Public

    Personal Branding

    TypeScript 1

  5. chess chess Public

    şahmat

    Python 3

  6. blitz-chess blitz-chess Public

    World's Fastest Chess Engine (Coming Soon)

    Rust