Hands-on tutorials for Claude Code, AI agents, cloud and system design
Awesome AI Agents by the E2B team is the closest thing the agent ecosystem has to a phone book: an actively maintained, two-column list of every meaningful AI assistant and agent project, split into open-source and closed-source, with a corresponding visual “landscape” map. If you need to know what’s out there, this is where you… Continue reading
Path to Senior Engineer Handbook is Jordan Cutler’s curated index of resources for the promotion gap that almost nobody writes about: the move from mid-level IC to Senior, Staff, and beyond. Where most engineering resources stop at “learn to code,” this one starts at “you can already code; here’s how to grow into a senior… Continue reading
Free Programming Books is the EbookFoundation’s ever-growing catalog of, precisely, books about programming that are free to read, sorted by language, by topic, and by natural language (English, Spanish, Chinese, Arabic, 30+ others). If you want a real book-length treatment of a programming topic and don’t want to pay retail, this is the index. View… Continue reading
build-your-own-x is the codecrafters.io curated index of tutorials that teach you to rebuild familiar technologies from scratch: your own Git, your own React, your own database, your own Redis, your own Docker, your own compiler. Pedagogical rebuilds, not toy demos: each tutorial ends with a working thing you wrote yourself. View build-your-own-x on GitHub 531,502… Continue reading
Awesome is the original “awesome list”: Sindre Sorhus’s 2014 catalog of technology-related curated lists, which spawned an entire genre. Star this repo and you have a table of contents to the rest of the awesome-* ecosystem: awesome-python, awesome-nodejs, awesome-go, awesome-react, and a few hundred more, each maintained by community experts. View Awesome on GitHub 488,962… Continue reading
OSSU Computer Science is the Open Source Society University: a complete, free, self-taught four-year computer science curriculum built entirely from MOOCs (Coursera, edX, MIT OpenCourseWare, free YouTube lectures). If you want the structured progression of a CS degree without the tuition, this is the closest thing to it on the internet. View OSSU on GitHub… Continue reading
These are the 12 resources I’d send anyone asking how to learn AI agents in 2026: the primary-source canon from Anthropic, OpenAI, Google, Microsoft, and LangChain, plus the two standout free courses. Every entry is a real engineering reference or curriculum from the people building the agent ecosystem, not a tutorial-of-tutorials. Use this as the… Continue reading
TL;DR 30 sec6 min coredeep dive optional AI Engineering from Scratch is a free MIT-licensed curriculum that walks you from linear algebra to shipped agent systems in 523 lessons across 20 phases, and every lesson leaves you a runnable artifact. 523 lessons, 20 phases, roughly 342 hours of work, in Python, TypeScript, Rust, and Julia…. Continue reading
TL;DR 30 sec6 min coredeep dive optional RAG techniques, as collected by Nir Diamant’s RAG_Techniques repository, fall into three working groups: how you cut documents, how you retrieve, and how you make the pipeline correct itself, and each group has a notebook you can run today. More than 30 techniques, each a runnable notebook, most… Continue reading
AI jargon is scattered across papers, release notes, and vendor docs, and each source assumes you already know the other half of the vocabulary. This AI glossary gathers the language of modern LLM work into sixteen short lessons: every term gets a one or two sentence definition, the terms people mix up are paired and… Continue reading
TL;DR 30 sec6 min coredeep dive optional Awesome Claude Code is the ecosystem’s master index: a hand-curated GitHub list of 54.5k stars that organizes the best Claude Code guides, tools, skills, and harnesses by the job you need done. The list groups roughly 30 categories, from learning guides and agent orchestration to observability and security…. Continue reading