Teams Split AI Agents Into Specialized Roles Under an Orchestrator
Developers are increasingly replacing single all-purpose AI agents with several specialized sub-agents, such as a planner, coder, and reviewer, coordinated by a central orchestrator. The shift is motivated by the difficulty a lone agent has with long, multi-skill tasks, where crowded context and compounding early errors degrade results. Smaller focused agents are easier to evaluate individually, making it simpler to trace which step caused a faulty output. The article outlines three patterns: orchestrator-worker, peer review pairs, and fixed pipeline handoffs. It recommends this approach mainly for complex tasks needing distinct skills, while noting that coordination overhead can outweigh the benefits for simpler work.
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