
AI Agent Roadmap: Everything You Need to Build Agents (In the Right Order)
A step-by-step roadmap for developers building AI agents — covering LangGraph, MCP, tools, memory, evals, and production deployment in Python and TypeScript.
Deep dives on MCP, AI agents, and production patterns.

A step-by-step roadmap for developers building AI agents — covering LangGraph, MCP, tools, memory, evals, and production deployment in Python and TypeScript.

Learn how to implement OAuth authentication in your MCP client. A practical guide for connecting AI agents to secured MCP servers using Next.js and the MCP SDK.

Learn how to build a production-ready fullstack AI agent with Next.js and LangGraph.js. This guide covers Model Context Protocol integration for dynamic tool loading, human-in-the-loop approval workflows, and real-time streaming with React Query.

Side-by-side comparison of LangChain and LangGraph in Python vs TypeScript/JavaScript—APIs, agent patterns, ecosystem maturity, deployment, adoption stats, and practical guidance on when to choose each.

Learn how to build a production-ready AI agent backend using NestJS and LangGraph.js. This guide walks you through project architecture, real-time messaging, LLM integration, and how to scaffold your own backend in minutes using Agent Initializr.