Current OS, runs on my servers and personal computers. Maybe even mobile devices soon.

dotfiles soon... dotfiles finally here!

The nix package manager is used in all of my projects to provide reproducible builds and reproducible development environments.

Language of choice for pretty much everything.

Primary game development langauge.

Language of choice for primarily desktop applications.

Almost favourite scripting language. Mostly for discord bots.

• wozey.service

  • An opinionated Discord bot.
  • Written in lua with a splash of python for that juicy AI.
  • A modular framework that allows easy creation of new functionality.
  • A builtin AI chatbot that leverages multiple AI models.
  • Easy deployment with nix on NixOS based systems.

• endron

  • A statically-typed programming language that compiles to everything.
  • Future redesign in progress as a more hardware focused language.

• enmity44

  • Minimal, wireless 44-key split keyboard.
  • Effortlessly portable with absolutely no bells or whistles.

• entropy

  • A experience development framework using nelua, a lua-like language that compiles to c.
  • Leverages the nix build system heavily to support cross compilation and easy dependecy management.
  • Utilizes next generation WebGPU for accelerated rendering.

• wbot

  • Highly experimental bindings of wpilib to the wren programming language.
  • Utilizes c++ just for bindings to native and vendor specific functions.
  • Better reimplementations of many wpilib functions in wren such as the command framework and scheduler.
  • Real world testing on Team 4308's 2022 robot.

• skyror

  • An accelerator oriented instruction set.
  • Vector oriented.
  • Mostly RISC.

• raymarcher2

  • Uses glsl compiled to SPIR-V shaders that runs on a python based host program using vulkan.
  • Implements a full raymarching pipeline with reflections and accurate light simulation.
  • Contains 4 demo scenes in glsl and 1 demo scene using a python based DSL.

• hoshihoshi

  • A fully open source virtual avatar motion capture system using your webcam.
  • Written in python with html/js for the frontend.
  • Utilizes the high performance mediapipe library from Google to provide face mesh data.
  • Implements multiple filters on top of raw face mesh data to ensure accurate tracking.
  • Simplified build and dependencies with nix.