Agent swarms and the new model economics
12 hours ago
- Agent swarms were developed to tackle large-scale tasks by dividing work into tree-like structures with planners and workers.
- New swarm improvements included a custom version control system handling high commit rates and mechanisms to address coordination failures like split-brain design and merge conflicts.
- Experiments showed the new swarm outperformed the old in tasks like building SQLite in Rust, achieving up to 85% test suite pass rates with better efficiency and lower costs.
- Cost analysis revealed significant savings by using frontier models for planning and cheaper models for execution, with hybrid configurations reducing worker costs dramatically.
- The swarm operates like a compiler for intent, translating high-level specs into executable work, with future potential to enhance software engineering through better intent description.