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Why Use Multiple Agents?

When multiple agents beat one powerful agent — parallelism, specialization, and throughput in AI-powered development.

13 min readmulti-agent, parallelism, specialization, throughput

You have one incredibly smart developer. They can write frontend code, backend code, tests, documentation, and infrastructure. They're great at everything. But they can only do one thing at a time.

Now imagine you have five developers, each specialized in one area, working simultaneously. None of them is as broadly talented as the single developer, but together they accomplish in an hour what the solo developer takes a full day to complete.

That's the argument for multiple AI agents. Not that one agent isn't good enough — it is. But multiple agents working in parallel can dramatically increase your throughput, and specialization can increase the quality of each individual task.

The Three Arguments

There are three distinct reasons to use multiple agents, and they apply in different

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