Cursor’s agent swarm cuts AI compute costs by delegating work to cheap models
Cursor’s new agent swarm splits high‑level planning to a frontier model while cheap worker models execute the pieces. This architecture cuts compute spend dramatically—reaching 80% SQLite test coverage in four hours with a mix of Grok 4.5 and low‑cost models—making large‑scale autonomous AI projects cheaper and more reliable.