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

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

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.

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

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

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

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

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.

DIO PRO Vitalício Week: Agentes de IA

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.

Learn it. Build it. Ship it for others.

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.

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

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.

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

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 🌱

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

An MCP Multimodal AI Agent with eyes and ears!

Context Engineering: Build Consistent, Accurate, Predictable AI Systems

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

From Java Dev to AI Engineer: Spring AI Fast Track

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

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