Designing multi-agent systems using LangGraph for collaborative problem-solving
Learn how to build sophisticated multi-agent systems using LangGraph for collaborative problem-solving. This comprehensive guide covers the implementation of a software development team of AI agents, including task breakdown, code implementation, and review processes. Discover practical patterns for state management, agent communication, error handling, and system monitoring. With real-world examples and code implementations, you'll understand how to orchestrate multiple AI agents to tackle complex problems effectively. Perfect for developers looking to create robust, production-grade multi-agent systems that can handle iterative development workflows and maintain reliable state management.