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Kubernetes for agentic apps: A platform engineering perspective

Kubernetes for agentic apps: A platform engineering perspective

Agentic AI flips the old model. Instead of stateless, event-by-event workloads, we get stateful, self-steering systems that observe, reason, plan, and act - on loop.

Kubernetes steps up as the OS for this next phase. Boosted by platform engineering, it brings the right mix: ephemeral compute, persistent memory, tight orchestration, and a clean way to wire in tools.

Big picture: We’re moving from cloud-native microservices to something more alive - agent-native systems that think and adapt, not just react.


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The FAUN

FAUN.dev()

@faun
The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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