Agent Workspace Isolation

Agent workspace isolation is the practice of giving each AI coding agent a separate, controlled place to read, edit, test, and commit code. Instead of letting several agents operate in the same checkout, every task runs in its own worktree, container, or temporary project directory with defined permissions, dependencies, and starting state. This prevents hidden overwrites, half-applied changes, and test artifacts from one agent run leaking into another. It is related to sandboxing, but not identical: a sandbox limits what an agent can access, while workspace isolation limits which codebase and intermediate outputs the agent can affect. A mature setup ties each workspace to a task, branch, log, test run, and pull request, then moves only reviewed results into the shared integration path. For engineering teams, workspace isolation is what turns parallel agents from a demo into an operating model. More agents only increase throughput when their work remains reproducible, disposable, and reviewable.