DIO PRO Vitalício Week: Agentes de IA

A comprehensive set of samples of creating and using MCP servers and clients with .NET

The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.

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

An MCP Multimodal AI Agent with eyes and ears!

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

100 field-tested Claude Code recipes for knowledge workers — prompts, steps, and 6 installable graded skills.

The Developer's Guide to AI - A Field Guide for the Working Developer

Your Cheat Sheet for AI Engineering Interview – Questions and Answers.

From Java Dev to AI Engineer: Spring AI Fast Track

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

A set of MCP security checklists and guides for agents and MCP servers.

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

Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.

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

Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀

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

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.

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.

Learn it. Build it. Ship it for others.

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

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

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.

Find · Leverage · Optimize · Win — an evidence-led SEO playbook for the AI-search era. 72 docs · 42 AI prompts · 27 diagrams · 15 sourced 2026 stats. CC BY 4.0.