A clean machine is a faster feedback loop
Moving builds and experiments away from a daily-use laptop can make agent workflows more repeatable and easier to debug.
Speed is not only CPU time. An agent’s feedback loop also depends on predictable dependencies, stable services, clear logs, and the confidence to run an experiment without cleaning up a personal environment afterward.
Reduce environmental drift
A long-lived laptop contains overlapping toolchains and project assumptions. When a build fails, the agent has to distinguish a code problem from an environment problem using whatever state happens to be present.
A dedicated workspace narrows that search. Its dependencies and services exist for the project, so failures are more likely to describe the project rather than the history of the machine.
Give the loop useful evidence
Agents improve through feedback: compiler messages, test results, diffs, process output, and application logs. Keeping those signals in one workspace makes it easier to run an action, observe the result, and choose the next step.
The machine does not need to be pristine after every command. It needs to be understandable enough that the next result means what the agent thinks it means.
Reset without hesitation
Experiments become easier when the environment is replaceable. Instead of protecting a carefully accumulated laptop setup, the team can preserve the repository and configuration, then rebuild the workspace when its state stops being useful.
That confidence shortens the path from an idea to an executed test—and makes cleanup part of the system rather than a personal chore.