Deep dives on MCP, AI agents, and production patterns.
Anthropic's Applied AI team reveals how to design tools that agents can actually use effectively. Learn the five production-tested principles for building agent tools, with a complete implementation of Cameron AI's expense tracking system.
Learn Anthropic’s production-tested playbook for prompting AI agents like Claude Code. We distill their principles, heuristics, and eval strategies into a practical guide you can use to build reliable, tool-using agents for the real world.
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.