Build an agentic RAG app from scratch by collaborating with Claude Code. 8-module course covering hybrid search, reranking, text-to-SQL, subagents, and more. React + FastAPI + Supabase.
Learn it. Build it. Ship it for others.
Build the system that prompts your agents. A teaching repo for loop engineering: chapters, an annotated reading list, copy-paste prompts, a runnable example, and a portable agent skill
Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱
Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API. Search creators, resolve profiles, read posts and find verified emails from Claude, Cursor, Codex, ChatGPT or curl. One key, no scrapers.
Reverse-engineering Claude Code's 512K LOC TypeScript source: agent loop, tool system, permission model, Grove training pipeline, anti-distillation defense
The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
The Developer's Guide to AI - A Field Guide for the Working Developer
Pair Claude Desktop on Anthropic with Claude Code routed through Ollama. Visual walkthrough + copy-paste prompt that cuts your Claude Code bill ~90%.
Learn what AI skills are and how to design, structure, and use them in real-world agent systems.
Context Engineering: Build Consistent, Accurate, Predictable AI Systems
From Java Dev to AI Engineer: Spring AI Fast Track
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
DIO PRO Vitalício Week: Agentes de IA
A comprehensive set of samples of creating and using MCP servers and clients with .NET
Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration
Hands On Workshop for GitHub Agentic Workflows
An MCP Multimodal AI Agent with eyes and ears!
Your AI-Powered Coding Tools Best Practices
Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1
All my YouTube tutorials. Everything here is free - but please follow me on YouTube if you find these helpful.