cursor rebuilt sqlite in rust with cheap worker agents — when frontier models call the shots

cursor's upgraded agent swarm separates coding labor into frontier planner models that recursively break down goals and cheaper worker models that execute tasks. this architecture solves context drift by splitting responsibilities, allowing the system to achieve a 100% pass rate on the sqllogictest suite while rebuilding sqlite in rust. to handle the swarm's massive output of 1,000 commits per second, cursor built a custom version control system utilizing shared design documents and neutral review agents to resolve split-brain merge conflicts. this hierarchical setup proves developers can build highly autonomous, parallel coding pipelines while drastically reducing inference costs. moving forward, this planner-worker split establishes a new baseline for enterprise ai coding agents.