Subagent configuration refers to defining specialized AI workers with distinct roles, tools, and instructions within a larger system. It’s used to delegate complex tasks—like research, coding, or data analysis—to focused agents that operate in parallel. Developers and automation teams benefit by boosting efficiency, reducing errors, and tailoring workflows for scalable, multi-step projects without manual oversight.
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