TLDR Tech / Dev
Does splitting work across AI agents actually save time? I tested it
Five multi-agent setups were benchmarked on the same task. Cursor subagents won (12 min, all tests passing), Agent Teams cut cost 70% vs solo, and the OpenAI SDK finished in 90 seconds for $0.009 but failed every single test because the agent didn't read enough of the codebase before writing code. More agents only helps when the task genuinely parallelizes, and agents can agree on interfaces before work starts.
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