AI Agents Get Better by Anticipating Errors in Their Own Software Changes
AI agents are becoming more capable of writing code, fixing bugs and improving the instructions that guide their work. But every change carries a risk: a modification intended to improve performance can introduce a new error, break an existing function or waste valuable computing resources. New research suggests that AI agents can improve more efficiently […]