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Experiment Finds Single AI Agent Outperforms Multi-Agent Teams on Coding Task

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A 2026 course by Jeremy McEntire tested four ways of organizing AI agents on the same backend-building task, using the same language model. A single agent scored 28 out of 28, a hierarchy scored 18, a leaderless swarm scored 9, and an eleven-agent pipeline produced no code at all. The pipeline exhausted its $50 budget on five planning stages before writing its first function. The swarm delivered five of seven services, but its services used incompatible data-exchange formats. The reviewer notes that the scoring rubric checks conformance to a pre-written specification, so the results reflect that particular kind of work rather than all software tasks.

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