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alliecatowo/README.md

alliecatowo

I build AI-native systems end-to-end: from deterministic language/runtime primitives to ambient, human-centered tools.

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let allie = Engineer::new()
    .focus(["AI-native systems", "language/runtime design", "agentic DX"])
    .building(["lumen", "minis-ai", "assistarr", "anvil", "alliecode"])
    .location("Fresno, California");

I yell at robots and occasionally program things.

What I Actually Build

Project What It Is Status
lumen Markdown-native, statically typed language in Rust for deterministic agent workflows. Active
minis-ai Mini teammate clones generated from developer signal for pre-review feedback loops. Active
assistarr Natural-language control for self-hosted media stacks (Jellyfin + *arr ecosystem). Active
anvil Agent-native macOS development environment experiments, post-IDE direction. Active
alliecode Provider-agnostic AI coding CLI with a robust terminal interface. Active
keyvis Always-on-top keyboard layer + keypress visualization for split keyboard workflows. Active
allie-cat-corne Reverse-engineered nonstandard Corne firmware path from raw UF2 binaries, including wireless touchpad bring-up. Active
zmk-sofle AllieCatKeeb Sofle ZMK firmware with dongle mode, docs, and automated build artifacts. Active
allie-cat-keeb-vial QMK + Vial firmware track for Lily58 and Holykeebs pointing-device workflows. Maintained
legalease-ai Self-hostable legal discovery and search workflows for sensitive document sets. Maintained

Feature Spotlight

  • lumen: markdown-native, typed runtime work for deterministic agent workflows.
  • minis-ai: mini teammate clones for pre-review feedback loops.
  • assistarr: natural-language control surface for self-hosted media ops.
  • keyvis: always-on-top layer and keypress visualization for keyboard-heavy workflows.
  • allie-cat-corne: reverse-engineered UF2 firmware evidence into a working nonstandard Corne + touchpad ZMK setup.
  • zmk-sofle: AllieCatKeeb Sofle ZMK branch with dongle mode, docs, and CI build workflow.

Build Principles

  • Deterministic systems over magical black boxes where reliability matters.
  • Product feel matters as much as architecture quality.
  • Agent workflows should be inspectable, composable, and fast to iterate.
  • I usually ship a new app, tool, or experiment every week to keep feedback loops tight.

Ecosystem

  • Language + Runtime Core: lumen
  • Agent Systems: minis-ai, assistarr, legalease-ai
  • Developer Tooling: anvil, alliecode, patchrun, puml
  • Keyboard + Firmware Systems: keyvis, allie-cat-corne, zmk-sofle, allie-cat-keeb-vial, zmk-driver-azoteq-iqs5xx

Stack

Rust TypeScript Python Go Swift Vue Nuxt FastAPI ZMK QMK

Deep Dives

Work With Me

  • Building applied AI systems that need reliability under real constraints.
  • Prototyping agent-native developer workflows and post-IDE tooling.
  • Collaborating on language/runtime and human-interface experiments.

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GitHub Stats

Public repositories Total stars Followers GitHub achievements highlights

Full-stack engineer · AI systems + language/runtime + ambient interfaces · she/her · allisons.dev

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  1. lumen lumen Public

    Markdown-native, statically typed programming language in Rust for deterministic AI-native workflows.

    Rust 1

  2. anvil anvil Public

    Agent-native development environment for macOS, exploring post-IDE workflows.

    Swift

  3. puml puml Public

    Rust plantumlish diagrams, with no jre or graphviz! Fast, small, compatible binary, with dreams of rendering mermaid and other charting formats too :)

    Rust 1

  4. minis-ai minis-ai Public

    AI mini-teammate simulation system for feedback loops before human review.

    Python

  5. patchrun patchrun Public

    Run any command in a disposable git worktree and capture the resulting patch before it touches your repo.

    Go

  6. legalease-ai legalease-ai Public

    Self-hosted AI-assisted legal discovery and search platform for sensitive document workflows.

    Vue