Technical guides and step-by-step instructions on building cloud-native applications, engineering thought leadership, and scaling Agentic AI.
Parts 1–3 covered LangGraph fundamentals and a working tool-using agent. This post covers multi-agent architectures (supervisor, swarm, hierarchical), human approval with interrupt(), and production-grade persistence.
Architect scalable multi-agent systems in ADK 2. Build a central Master Coordinator that routes requests to specialized search, cart, and support agents.
Why single monolithic agents degrade under complex toolsets, and how to architect a multi-agent system using the Coordinator + Specialist Subagents pattern in Python.