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A user recommends several AI bloggers worth following long-term, including Baoyu, Karpathy, Raschka, Willison, Howard, etc., covering AI tools, model principles, and practical experience.
Introducing the codecrafters-io/build-your-own-x repository, a collection of tutorials for building various technologies from scratch, helping developers understand underlying principles through hands-on practice.
Lathe is an open-source tool that generates hands-on, multi-part technical tutorials from any prompt using LLMs, aiming to teach users rather than just provide answers. It includes a local UI for working through tutorials and supports integration with Claude Code, Cursor, and Codex.
A collection of 50+ hands-on AI engineering tutorials covering AI agents, RAG, MCP, OCR, voice AI, and more, open-sourced with 1k+ GitHub stars.
LangGraph 101 is an open-source tutorial repo for learning LangChain, LangGraph, and Deep Agents through notebooks and runnable agent examples, organized into fundamental and production-patterns tracks.
Anthropic officially open-sourced Claude usage tutorials (cookbooks), including Jupyter Notebook examples of advanced techniques like RAG, Tool Use, multimodal, etc., which developers can directly copy and use.
Sayak Paul describes a project to profile and optimize Diffusers pipelines using torch.compile, and announces a tutorial series by Ari G. on the topic.
A tweet thread by @eng_khairallah1 compiles resources on building agentic AI companies, including Claude Code tutorials, LangChain's recent product announcements (Interrupt, Labs, Engine, SmithDB), and educational prompts.
An Anthropic engineer has released a 14-minute masterclass on building effective AI agents, widely praised for its utility to developers.
OpenEnv, a platform for reinforcement learning environments, is expanding its tutorials, covering topics like evaluating agents, rewards via rubrics, and connecting agents via MCP.
A curated GitHub repository aggregating free courses, code examples, tutorials, and resources for building autonomous AI agents, targeting developers from beginner to advanced levels.
A curated GitHub repository compiling step-by-step guides to rebuild various technologies from scratch, from 3D renderers to neural networks, aimed at deep learning through creation.