AI agents that can adapt and spawn new helpers to write complex code

A new AI architecture called AgentSpawn enables a team of AI agents to dynamically create new, specialized agents when a coding task becomes too complex. This adaptive approach allows for automatic memory transfer and better coordination. In tests, it achieved a 34% higher task completion rate on software engineering benchmarks while using 42% less memory than standard, non-adaptive multi-agent systems.