agent swarm

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.

Moonshot AI has released Kimi K2.6, an open-source multimodal model with 1 trillion total parameters (32B activated) and 256K context window. The model achieves 80.2% on SWE-Bench Verified, 58.6% on SWE-Bench Pro, and supports horizontal scaling to 300 sub-agents executing 4,000 coordinated steps.