장기 실행 에이전트 - 에이전트가 며칠 동안 실행되면 무엇이 달라지는가

The emergence of long-running agents marks a paradigm shift from short-lived chat sessions to autonomous systems capable of executing complex, multi-day tasks. By decoupling model reasoning from state management and execution sandboxes, developers can overcome context limitations and self-evaluation bias, enabling AI to handle end-to-end feature development. This architectural evolution transforms AI from a simple assistant into a persistent, self-correcting digital worker.