Building Agentic AI Apps with Next.js and TypeScript

Engineer intelligent web apps that combine context, retrieval, agents, and MCP with the architecture needed to scale in production Key Features Build production-ready AI applications with Next.js, moving beyond simple LLM integrations and prototypes Combine RAG, hybrid search, context engineering, LangGraph, and multi-agent workflows to create intelligent, context-aware apps Build and integrate MCP servers and take productionize AI applications with real-time streaming, deployment, security, and observability Book DescriptionBuilding an AI prototype is easy. Turning it into a scalable, reliable application is much harder. Building Agentic AI Apps with Next.js and TypeScript shows you how to build production-ready AI applications using the web technologies you already know. Using Next.js and TypeScript, you'll create context-aware experiences, build RAG and hybrid search pipelines, orchestrate multi-agent workflows with LangGraph, and connect applications to reusable capabilities through MCP. Through practical implementation, you'll learn how these technologies work together within a maintainable full-stack architecture and how to take your AI application from development to production with real-time streaming, testing, security, deployment, and observability. What you will learn Architect maintainable, scalable AI applications using Next.js and TypeScript Build context-aware applications that manage conversational state and relevant contextual data Implement RAG and hybrid search pipelines to ground AI responses in reliable information Design and orchestrate multi-agent workflows with LangGraph, including shared state, retries, and resilient execution Build, package, and integrate MCP servers with Next.js applications Deploy and operate AI applications with real-time…