Tutorials

An article and companion website that walks through writing a minimal TypeScript coding agent, called nano-pi, from scratch, with source code that fills in as you read and a step-by-step execution trace.

• Tutorials

A Chinese-language companion to DeepLearning.AI's Agentic AI course series, providing translated course content, structured notes, and walkthroughs of the example code for each module.

• Tutorials

A hands-on course that teaches LLM inference engine internals by building a minimal SGLang implementation from scratch and then reading the real SGLang source.

• Tutorials

A repository of summaries, notes, prompts, and code files from DeepLearning.AI's short course on Agent Skills with Anthropic.

• Tutorials

An AWS sample application, built on Bedrock, SageMaker and Lambda, that implements a set of ready-to-use generative AI business use cases such as chat, summarization, meeting minutes and translation.

• Tutorials

A sponsored, structured learning path and set of guides for DevOps engineers adopting AI, covering an 18-month roadmap, building MCP servers and AI agents for DevOps, and enterprise frameworks for adopting AI safely.

• Tutorials

An open-source hardware guide, with parts lists, CAD and assembly photos, for building your own local machine to run large language models instead of renting inference from a cloud provider.

• Inference
• Tutorials

An open-source Windows app, from Microsoft, with more than 25 interactive samples showing developers how to add local AI models and APIs to Windows apps, with exportable C# source.

• Tutorials

A hands-on Rust course that builds a small, type-safe, auto-vectorized database expression engine across five modules and ten cumulative, independently testable checkpoints.

• Tutorials

A Chinese-language study guide that translates and summarizes DeepLearning.AI's Agent Skills with Anthropic course, with course notes and worked-example explanations.

• Tutorials

A free, hands-on cohort course teaching developers to build, test, deploy and audit software with AI coding tools while keeping engineering discipline.

• Tutorials

A growing series of blog posts and videos that teach how large language models work internally, step by step from tokenization through attention to inference optimization.

• Tutorials

An educational, end-to-end open-source knowledge base covering LLM fine-tuning, dataset distillation, reinforcement learning and local deployment, with notebooks and guides in four languages.

• Models
• Tutorials

A roughly 1,300-line, fully readable coding-agent engine meant as a teaching reference for how a tool like Claude Code actually works, so a developer can read the whole thing and fork it into something of their own.

• Coding agents
• Tutorials

Official code samples for the Agent2Agent protocol, demonstrating multi-agent interoperability with example agent servers and clients in Python, Go, .NET, Java and Node.js.

• Agent frameworks
• Tutorials

A free, in-progress hands-on course of Jupyter notebooks that is the unofficial companion repository to a book on applying large language models, covering techniques, projects and enterprise-scale solutions.

• Tutorials

A hardware and configuration guide for running state-of-the-art large language models and speech-to-text locally, covering everything from a $2k single-GPU setup to a $40k multi-GPU rig.

• Inference
• Tutorials

A step-by-step guide and interactive notebook for building and scaling a retrieval-augmented generation LLM application for production, from ingesting documents through serving and evaluation.

• RAG
• Tutorials

An 18-step, hands-on tutorial that walks through building a minimal AI agent from a simple chat loop up to an event-driven, multi-agent system with scheduling and long-term memory.

• Agent frameworks
• Tutorials

A free, 92-part Chinese-language tutorial series covering Claude Code and Codex CLI, fact-checked against each tool's official documentation from installation through advanced workflows.

• Tutorials

A leveled reference of Claude Code commands, tips and workflows, from installation and authentication through basic, intermediate and advanced usage to subagents.

• Coding agents
• Tutorials

A source-level architectural analysis of Claude Code's roughly 512,000 lines of TypeScript, arguing that only a small fraction is AI decision logic while the rest is deterministic infrastructure, packaged with a design guide for agent builders.

• Coding agents
• Tutorials

A complete Chinese-language tutorial for OpenClaw, a command-line AI assistant framework, covering installation, configuring skills for everyday workflows, and building a custom version from its source.

• Tutorials

A Chinese-language tutorial series that teaches how to build large language models from scratch, covering pretraining, fine-tuning, mixture-of-experts, RLHF and deployment, with accompanying notebooks and videos.

• Tutorials