Multiple AI coding agents should run at once on tasks that are independent enough to avoid file conflicts. Good candidates include test expansion, documentation updates, frontend and backend work with a clear contract, refactor experiments, and cleanup tasks in separate modules.
The biggest benefit is throughput. One agent can update backend logic, another can write tests, and another can adjust frontend code. The human reviewer then evaluates focused results instead of doing every repetitive step manually.
The risk is conflict. Parallel agents need task boundaries, isolated workspaces, and review before merging. Verdent's value is that it makes parallel work more controlled: Plan Mode defines the work, agents execute separately, and workspace isolation prevents premature file collisions. Choose simultaneous tasks based on independence, not excitement.
