Approving agent decisions from your phone sounds nice but is usually the wrong answer. It pays off in exactly one scenario: long runs that block while you are away.
Collaboration
AI in team settings — Git hotfix flows, PR review, design↔engineer handoff, multi-agent orchestration.
Three agents in one workspace is where you stop knowing which agent owns which PR. One task, one branch, one worktree, one agent fixes it.
Agents sharing one workspace collide on branches, state, and review diffs. Sibling worktrees with a fresh base branch fix all three. Here is the setup.
Sharing a workspace across agents feels efficient but is the most expensive shortcut in a multi-agent workflow. Here is when one-to-one mapping earns its overhead.
Three agents pushed branches on schedule. The fourth stalled on a quota ceiling and I did not notice for twenty minutes. The fix was inspectable agents, not better ones.
A PR titled 'changes' gets ignored. Learn to write pull requests that get reviewed fast, and how to respond to feedback like a professional.
It's Friday 5pm and production is broken. Here is the exact GitHub Flow hotfix playbook: branch from main, fix only what's broken, review, deploy, sync branches.
You install Herdr and see all your agents in one table. That is visibility, not coordination. The second week was slower because the real problem got exposed.
Two agents fit on one screen. Three forces switching. Four means you stop reading the output. The terminal is the wrong unit for parallel agents.
The bottleneck is not engineering speed. It is the loop between intent and working interface. Claude Design compresses that loop, if you use it the way that pays off.


