Why AI agents don't need infrastructure running 24/7

AI agents don't need a server sitting there while they wait for the next prompt. They need infrastructure that shows up, does the job, and disappears.
In this Product Highlights conversation, Nicolas Gommenginger, director of product at Upsun with more than four years leading the platform's core functionality, breaks down Upsun's newest primitive: task containers. His take: "What really triggered us to go ahead and implement it is the rise of AI agents, because tasks are something ideal for running them."
We get into:
Why a task container is built to run once and disappear, not sit idle between jobs
Why isolating an agent in a sandbox can leave it working blind, without real data or logs
How pairing a task with a preview environment gives an agent a disposable copy of production to work against
A live demo where a single prompt triggers a task, opens a pull request, and deploys a preview environment, GitHub hiccup included
Upsun's own performance agent, its first built-in agent running on task containers, coming soon
Task containers are available now on every Upsun project. Learn more at https://upsun.com

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