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Orchestrating AI at Scale: Architectural Patterns for Reliable Agent Teams

멀티에이전트 오케스트레이션: AI 팀의 신뢰성을 만드는 아키텍처

Why it matters

Multi-agent orchestration is replacing single-model AI for complex tasks, with research showing 65× cost reductions while maintaining accuracy. As the market projects to reach $236 billion by 2034, engineers who master agent coordination across supervisor, swarm, pipeline, and router patterns will become essential to building the next generation of AI infrastructure.

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Agent orchestrationMulti-agent systemsOrchestration patternsTask routingLLM coordination

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