Stars
List of Computer Science courses with video lectures.
An agentic skills framework & software development methodology that works.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Book in preparation: introduction to theoretical computer science
A freshly updated version of "rails new", preconfigured to be run with Docker.
A sample app for Shopify's JWT integration with Hotwire Turbo
📚 Freely available programming books
List of 1000 JavaScript Interview Questions
A curated list of Site Reliability and Production Engineering resources.
Site Reliability Engineer Interview Preparation Guide
A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Relax! Flux is the ML library that doesn't make you tensor
Magenta: Music and Art Generation with Machine Intelligence
The fastai book, published as Jupyter Notebooks
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
🐬 A comprehensive tutorial on getting started with Docker!
[ARCHIVED] Repo to organize our ideas about research implementations of CRDTs.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Google's Engineering Practices documentation
Master programming by recreating your favorite technologies from scratch.
Front End interview preparation materials for busy engineers (updated for 2026)
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
An attempt to answer the age old interview question "What happens when you type google.com into your browser and press enter?"
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
An ultra-simplified explanation to design patterns
A collection of infrastructure and tools for research in neural network interpretability.