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.

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

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

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