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A Python learning repo that reverse-engineers Claude Code-style agent architecture through 23 incremental sessions, covering planning, subagents, context management, and more.
A tweet recommends the Language AI Handbook, a free online resource that covers LLM components from classical NLP to modern transformers, quantization, RL, and safety.
A free, open-source AI engineering curriculum that covers math, LLMs, and agents across 20 phases and 435 lessons in Python, TypeScript, Rust, and Julia, designed to fill gaps in fragmented AI tutorials.
This post shares a curated GitHub repository containing over 30 practical AI projects, covering domains from regression to generative AI, with many end-to-end examples, suitable for learners and developers.
A project-based course repository on Harness Engineering for AI coding agents, covering environment setup, state management, verification, and control mechanisms to make AI coding agents work reliably. The course synthesizes best practices from OpenAI and Anthropic on building effective harnesses for long-running agents.