dmux-workflows

Multi-agent orchestration in tmux requires dmux to split tasks into focused panes, assign prompts, track progress, and merge outputs for parallel research, implementation, testing, and review workflows.

Yes, you can run independent git worktrees for separate AI agent tasks. The dmux workflow applies git worktree-aware isolation to ensure independent tasks have clear boundaries and safe merges during parallel execution.

Splitting work for a multi-agent code review is best handled by assigning focused perspectives like security, performance, and coverage to separate dmux panes, then merging the independent review outputs together.

Pane output merging in parallel workflows is managed by the dmux orchestration workflow, which collects and combines the results from individual focused AI agent sessions after their independent divide-and-conquer tasks complete.

You should not use parallel agent orchestration for tasks that lack clear independent boundaries or cannot be safely merged, as the dmux workflow relies on divide-and-conquer patterns and git worktree isolation for separate tasks.