A Go compiler, written in Rust (2016)(github.com)

73 points by philonoist 3 years ago | 18 comments

Show HN: Hardtime.nvim – break bad habits and master Vim motions(github.com)

180 points by m4xshen 1 year ago | 71 comments

Show HN: Gemini web client in 100 lines of C(github.com)

65 points by ir3k 3 years ago | 33 comments

A Raycaster in Bash(github.com)

222 points by izabera 1 year ago | 33 comments

Show HN: Hancho – A simple and pleasant build system in ~500 lines of Python(github.com)

136 points by aappleby 2 years ago | 52 comments

Show HN: Mador – Make any DOM reactive with a tiny 80-line Proxy state tuple(github.com)

92 points by bosmarcel 1 month ago | 31 comments

Replace IBM Quantum back end with /dev/urandom(github.com)

337 points by pigeons 6 months ago | 44 comments

A GitHub markdown document in a forked repo showing that a Q-Day Prize quantum ECDLP attack submission works equally well when the IBM Quantum backend is replaced with /dev/urandom.

Transformers for Ruby(github.com)

344 points by felipemesquita 2 years ago | 45 comments

GitHub repository for transformers-ruby by ankane, a Ruby port of state-of-the-art transformer models, licensed under Apache-2.0.

RubyLLM: A delightful Ruby way to work with AI(github.com)

612 points by ksec 1 year ago | 163 comments

GitHub repository for RubyLLM, a Ruby library providing a unified interface for working with AI models like OpenAI, Claude, and Gemini.

Building GitHub with Ruby on Rails(github.blog)

594 points by Lukas_Skywalker 3 years ago | 276 comments

GitHub engineering blog post on how GitHub.com is built as a Ruby on Rails monolith of nearly two million lines worked on by over 1,000 engineers.

Ruby on Rails: The Documentary [video](youtube.com)

411 points by 541 2 years ago | 184 comments

YouTube video of a 44-minute documentary about the history of the Ruby on Rails web framework.

RubyLLM: A Ruby framework for all major AI providers(rubyllm.com)

439 points by doener 4 months ago | 75 comments

Documentation homepage for RubyLLM, an open-source Ruby framework offering a unified API across major AI providers for chatbots, agents, and RAG apps.