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Cursor's New Agent Swarm Architecture Splits Planning and Coding to Cut Costs by Up to 15x
Cursor's upgraded agent swarm splits AI coding work between expensive frontier planner models and cheap worker models, reaching 100 percent accuracy on a from-scratch SQLite-to-Rust benchmark. Cursor claims the split cuts codebase size by up to 85 percent and worker costs by a factor of 15 compared to running a single frontier model alone.
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