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# New agentic compute patterns

**[InfoWorld](https://daily.dev/sources/infoworld)** · 8 min read · 0 upvotes · 0 comments

## Summary

Kubernetes was designed for stateless, short-lived HTTP workloads, but AI agents are long-running, stateful processes that require fundamentally different infrastructure. Agent execution demands millisecond environment provisioning, durable state management across task lifecycles, multi-agent coordination primitives, and scoped credentials per session. The Kubernetes community has acknowledged this gap with the Agent Sandbox project under SIG Apps, introducing new CRD-based abstractions for singleton stateful agents. Real-world evidence from Ramp's internal coding agent (Inspect) shows that when execution infrastructure is purpose-built for agents — with filesystem snapshots, isolated VMs, and deep tooling integrations — agents can handle 30% of all merged pull requests. Current Kubernetes clusters show CPU utilization as low as 8% and CPU overprovisioning at 69%, reflecting how poorly traditional schedulers handle agent workloads. Security threat models also change significantly: a compromised agent exposes every system it can reach, requiring kernel-level isolation and agent-aware observability as baseline requirements.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://www.infoworld.com/article/4197466/new-agentic-compute-patterns.html>

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---

Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#infrastructure](https://daily.dev/tags/infrastructure), [#ai-agents](https://daily.dev/tags/ai-agents), [#distributed-systems](https://daily.dev/tags/distributed-systems)

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