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A GitHub repository curating project-based programming tutorials across multiple languages, helping developers build applications from scratch.
Recommends 15 YouTube channels for learning AI in 2026, categorized by learning stage, with study path advice for beginners, engineering projects, and cutting-edge trends.
A curated list of X/Twitter accounts that explain AI concepts and teach how to build tools, agents, and frameworks, covering retrieval, testing, fine-tuning, and more.
Nir Diamant's genai_agents repository on GitHub, which has surpassed 22k stars, offers over 50 tutorials covering AI agent patterns from beginner to advanced, including conversational, multi-agent, RAG, and business agents built with frameworks like LangGraph, LangChain, AutoGen, CrewAI, and OpenAI Swarm.
Clone-Wars is a GitHub repository with over 100 open-source clones of popular apps like Netflix, Spotify, and Instagram, providing free source code, live demos, and tech stacks for developers to learn from.
A collection of 17 free guides covering various aspects of using Claude, from basic prompting to advanced features like Claude Code and Claude Skills, aimed at helping users learn quickly.
AI Spark has fully open-sourced its knowledge base, containing 247 articles across six major modules (from beginner's guide to industry insights), continuously updated, suitable for AI learners.
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 GitHub repository curating project-based programming tutorials across many languages, helping developers learn by building applications from scratch.
A GitHub repository providing visual and simple explanations of complex system design concepts, covering topics like APIs, load balancing, HTTP, and networking.