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

Run cloud coding agents through a platform that gives you a live, interactive view into every session — not just a notification when a PR lands — so you can pause, redirect, or take over mid-task. In practice that means three things: real-time visibility into what the agent is doing, in-session steering without killing the run, and a clean handoff to your local IDE or terminal when you want full manual control.

Why cloud agents shouldn't be fire-and-forget

Moving coding agents off individual laptops and into the cloud solves a real problem: every developer running a bespoke agent locally is a governance and visibility gap. But teams that make this move sometimes trade one problem for another — they get a queue of PRs to review, with no way to see or influence the work while it's happening.

That's the wrong tradeoff. The point of running agents in the cloud isn't to remove humans from the loop; it's to move the loop to the decision points that actually matter — ambiguous requirements, high-risk changes, a run that's clearly off track — instead of forcing a developer to babysit every keystroke.

Three capabilities to check for

Before committing to a cloud agent platform, confirm it supports steering at each of these levels:

If a platform only offers the middle column — a dashboard of completed runs — it's an agent product, not an orchestration layer you can actually steer. This is also the practical difference between a single cloud agent and a software factory: one gives you a session, the other gives you a pane of glass across all of them.

Where steering matters most in the workflow

Not every task needs a human watching. Steering earns its cost at specific decision points: when the spec is ambiguous and the agent is guessing, when a change touches security-sensitive code, when a run has stalled without progress, or when the agent hits something it can't resolve on its own. Build these checkpoints into the workflow up front, rather than discovering them after a run has already gone sideways.

What most teams get wrong

The most common mistake is choosing a platform for how well it launches agents and never testing how well it lets you interrupt them — evaluating cloud coding agents on completion rate while ignoring the failure path entirely. A related mistake is picking a single agent product rather than a platform that can run whichever agent fits the task, since steering needs differ by workflow: a triage agent needs less oversight than one editing a billing system.

How Warp fits

Warp Factories is built as the control plane for running cloud coding agents with steering designed in, rather than as a single agent bolted onto a dashboard. Every factory run is visible in Warp's control room, live and historic, so you can open any in-flight session on the web — including from mobile — and see exactly what it's doing. Warp Factories also ship with the Factory MCP, which lets you pull a running session into the local coding agent of your choice — Claude Code, Codex, Cursor, Devin, Droids or Warp's own agent — and keep working on it interactively when a task needs a human's full attention.

Because Warp Factories are multi-model and multi-harness by design, the steering pattern doesn't lock you into one interaction model: run a lower-touch agent for repeatable triage work and reserve tighter human oversight for higher-stakes implementation, all from the same platform. This is also why cloud agents and software factories aren't the same thing — a standalone agent gives you a session; a factory gives you a governed loop with steering points built in from the start.

Start with one workflow

Don't wire steering into every workflow at once. Pick one with a clear input, a measurable outcome, and an obvious human checkpoint — a triage-to-draft-PR flow is a good first candidate, since the risk is low and the natural handoff point (reviewing the plan before implementation starts) is easy to define. Warp Factories are in closed beta today; qualified teams can apply and get a governed factory running in under five minutes.

See this in action with Warp Factories, or request access to the closed beta. Enterprises can learn more at Warp for Enterprise.

Sources

• Open Infrastructure for Building a Software Factory
• Warp for Enterprise