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 repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, AutoGen, CrewAI, RAG, MCP, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.

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.

Specification and documentation for Agent Skills

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

A Swift reimplementation of a Claude Code-style coding agent, built stage by stage to explore what makes coding agents work

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

DIO PRO Vitalício Week: Agentes de IA

An MCP Multimodal AI Agent with eyes and ears!

AI Agent Camp — non-engineer-friendly AI agent training curriculum. Lessons, skills, commands, and hooks for Claude Code, Cursor, and Codex.

Learn what AI skills are and how to design, structure, and use them in real-world agent systems.

Build a Claude-Code-shaped agent harness from scratch. 7-week course, 20 chapters, ~5,000 lines of Python, 42 tests, 3 LLM providers, no frameworks.

One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.

Master OpenCode, the open-source AI coding agent — setup, agents, skills, plugins, MCP, Zen & headless CI.

Hands On Workshop for GitHub Agentic Workflows

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

Reverse-engineering Claude Code's 512K LOC TypeScript source: agent loop, tool system, permission model, Grove training pipeline, anti-distillation defense

📚 Two books on harness engineering — the design philosophies behind Claude Code & Codex: constraints, query loops, context governance, multi-agent verification. harness-books.agentway.dev

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration

Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!

All my YouTube tutorials. Everything here is free - but please follow me on YouTube if you find these helpful.