Managing the life cycle of AI agents at scale

There’s a new reality emerging for development teams: existing software delivery practices don’t translate cleanly to agentic AI systems . Practices built around deterministic execution paths and well-defined application behaviors are no longer sufficient when the software itself can make decisions about how to accomplish a task. The main difference is that agents exhibit non-deterministic, context-dependent behavior.