Kubernetes was built around a fairly simple assumption. It’s that software does what its developers told it to do. AI Agents complicate that assumption. An agent can reason about a problem, choose a course of action, call tools, write code, interact with other systems, and keep working toward a goal. That is precisely what makes agents useful. But it is also what makes running them in production different from running a conventional application. And increasingly, enterprises want to run them on Kubernetes. A recent survey by the Cloud Native Computing Foundation (CNCF) found that two-thirds...

Source: The New Stack