New agent framework matches human-engineered AI systems — and adds zero inference cost to deploy
FeaturedBen Dickson February 18, 2026 Image credit: VentureBeat with ChatGPTAgents built on top of today’s models often break with simple changes — a new library, a workflow modification — and require a human engineer to fix it. That’s one of the most persistent challenges in deploying AI for the enterprise: creating agents that can adapt to dynamic environments without constant hand-holding. While today’s models are powerful, they are largely static.To address this, researchers at the University of California, Santa Barbara have developed Group-Evolving Agents (GEA), a new framework that enables groups of AI agents to evolve together, sharing experiences and reusing their innovations to autonomously improve over time.In experiments on complex coding and software engineering tasks,…
