Article for SiliconANGLE by Jason Bloomberg
As with the rest of the technology landscape, artificial intelligence – and in particular, agentic AI – came to dominate the conversations at the Cloud Native Computing Foundation’s recent flagship event, KubeCon + CloudNativeCon Europe 2026.
In fact, AI is so pervasive that cloud-native computing is giving way to AI-native computing: the application of cloud native principles to AI workloads, agentic AI in particular.
There were two sides to the AI native story at this software infrastructure-focused conference: As organizations leverage Kubernetes to put agentic AI into operation, they are looking to implement infrastructure for running agentic workflows at scale, and they are leveraging AI agents to facilitate the deployment of flexible, dynamic infrastructure generally.
Peel back the layers of the AI-native abstraction, however, and you’ll find at the heart of both sides of the agentic AI story is a single concept: context. Context is the central facilitator of agentic behavior.
Understanding what we mean by context, how it relates to the metadata that have always been central to cloud native computing, and how to leverage context to build successful agentic applications are the new imperatives for architects, operators and developers as we move from the cloud-native to the AI-native computing era.
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Image courtesy CNCF.
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