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.
Learn how to publish your MCP server to the official Model Context Protocol registry with step-by-step instructions and real-world examples.
Explore effective strategies for summarizing message history in AI agents, ensuring they retain crucial context and information.
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.
A detailed case study on building a production-ready AI SaaS backend in under 14 days. I’ll show you how I used my own tool, Agent Initializr, to skip weeks of boilerplate and focus only on the features that mattered.
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