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OpenAI persistent agents would turn coding tools into always-on coworkers

A coding assistant that answers a prompt is easy to understand. A coding assistant that stays awake, notices unfinished work, and starts its own follow-up tasks is a much bigger bet. It turns software development from a request-response workflow into something closer to managing a tireless teammate.

That is the promise behind persistent agents: issue triage that continues after a meeting, tests that run after a patch, cleanup work that does not wait for a human to remember it. The product opportunity is obvious because modern codebases are full of small tasks that never get done. The danger is just as obvious: an always-on agent can also make always-on mistakes if permissions, repository access, and approval gates are loose.

The next agent winners will not be decided only by benchmark scores or demo videos. They will be decided by control surfaces. Teams will need to know what the agent is doing, what it is allowed to touch, when it must ask, and how quickly it can be stopped. Without that trust layer, persistence becomes less like leverage and more like operational risk.

Source: The DecoderPermalink

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