Cloud workspaces

Cloud Workspaces Are the Missing Half of Coding Agents

A coding agent without a terminal, dependencies, previews, and isolated files is mostly guessing. The workspace is the product.

Victor Cheng

Victor Cheng

Founder, DecaSpeed

May 13, 20267 min read
Blue-lit server rack in a data center

The most important part of a coding agent is often not the model. It is the place where the model is allowed to work. If the agent cannot install dependencies, inspect files, run the app, or see a failing command, it is operating from a distance.

A cloud development environment changes the quality of the loop. The agent can do the boring parts in a real workspace while you coordinate from iMessage, go outside, and come back when there is something worth reviewing.

The workspace is not backend plumbing. For AI coding agents, the workspace is part of the product experience.

A Real Agent Needs Real Tools

The basic checklist is simple: repository checkout, terminal, install commands, package manager, environment variables, logs, previews, and git. If any of those are missing, the agent has to substitute language for evidence.

Evidence matters. A test run is evidence. A preview URL is evidence. A diff is evidence. A summary that says “I did not verify this part” is also evidence. Cloud workspaces make those artifacts available without depending on the developer laptop.

What the workspace should produce
A branch and diff that can be reviewed.
Terminal output from typechecks, tests, builds, or setup commands.
A preview URL for browser-facing changes.

Isolation Makes Parallel Work Possible

Once each task gets its own computer, parallel work becomes much less awkward. One agent can run a migration experiment while another builds a frontend state. If one breaks its environment, it does not poison the rest of the project.

This is one of the core reasons DecaSpeed uses sandboxed cloud computers. Texting your coding agents from iMessage only works if the work is happening somewhere dependable while you are away from the desk.

Cloud Does Not Mean Out of Control

The goal is controlled autonomy. Agents should have enough access to make progress, but the output still has to be legible. The human should be able to inspect what happened, understand why it happened, and decide whether the change belongs in the product.