The Supervisor Pattern: Stop Writing Monolithic Agents and Start Orchestrating Teams

The article introduces the Supervisor Pattern as an architectural alternative to monolithic AI agents, using a central orchestrator that delegates tasks to specialized worker agents in a hub-and-spoke topology built with LangGraph. This approach reduces cognitive load through focused system prompts, centralizes state management to prevent context chaos, and improves scalability compared to single-agent or mesh topologies.