How Do I Run AI Coding Agents in the Cloud but Still Take Over and Steer Them When I Need To?

Cloud coding agent platforms should provide more than automated pull-request delivery by giving teams live visibility into active sessions, the ability to steer agents without restarting them, and a way to hand in-progress work off to a local IDE or terminal. These capabilities help organizations retain governance while focusing human involvement on consequential moments such as ambiguous specifications, security-sensitive changes, stalled tasks, and unresolved problems. The discussion argues that teams often evaluate agents only by launch and completion rates while overlooking how effectively they can inspect, interrupt, and redirect failing runs, and it distinguishes a standalone cloud agent from a broader software factory that coordinates multiple sessions and workflows. Warp presents its closed-beta Warp Factories product as such a control plane, offering a control room for live and historical sessions, mobile access, a Factory MCP for transferring work into tools including Claude Code, Codex, Cursor, Devin, Droids, and Warp’s own agent, and support for multiple models and agent harnesses. It recommends beginning with a low-risk, clearly measurable workflow such as triage-to-draft-PR, with a defined human review checkpoint before broader deployment.

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