Master programming by recreating your favorite technologies from scratch.
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Master programming by recreating your favorite technologies from scratch.
21 Lessons, Get Started Building with Generative AI
Papers from the computer science community to read and discuss.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Learn AI Engineering! Learn it. Build it. Ship it for others.
from vibe coding to agentic engineering - practice makes claude perfect
Curated list of design and UI resources from stock photos, web templates, CSS frameworks, UI libraries, tools and much more
🧠 Train a 64M-parameter LLM from scratch in just 2h!
A hand-picked collection of the finest of resources for the most awesome of agents, Claude Code, the undisputed champion of coding companions, from the unstoppable team at Anthropic PBC (no affiliation). A delectable showcase of top tier skills, ambidextrous agents, scintillating status lines, top notch developer tooling, and also we have plugins
The awesome collection of OpenClaw skills. 5,400+ skills filtered and categorized from the official OpenClaw Skills Registry.🦞
:fireworks:Interactive Online Platform that Visualizes Algorithms from Code
A visual, example-driven guide to Claude Code — from basic concepts to advanced agents, with copy-paste templates that bring immediate value.
Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot.
Anthropic's Interactive Prompt Engineering Tutorial
TranslatedA search tool for a complete collection of Linux commands, with content including a Linux command manual, detailed explanations, learning resources, and collected material. https://git.io/linux
A curated collection of 1000+ agent skills from official dev teams and the community, compatible with Claude Code, Codex, Gemini CLI, Cursor, and more.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Automated auditing, performance metrics, and best practices for the web.
How to create an OS from scratch
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?