How to Ship Faster with Multiple AI Agent Terminals | LaraChamp
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How to Ship Faster with Multiple AI Agent Terminals

Running a single AI coding agent is productive. Running multiple in parallel is a force multiplier. ## The Setup Open 3-5 terminal windows, each with its own Claude Code (or similar) sessio...

Gurpreet Kait

Gurpreet Kait

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Running a single AI coding agent is productive. Running multiple in parallel is a force multiplier.

The Setup

Open 3-5 terminal windows, each with its own Claude Code (or similar) session. Assign each terminal a specific scope:

  • Terminal 1: Backend feature work
  • Terminal 2: Frontend implementation
  • Terminal 3: Test writing
  • Terminal 4: Bug fixes / investigations
  • Terminal 5: Documentation or migrations

Each agent operates independently. While one writes an API endpoint, another builds the Vue component that consumes it.

Using Git Worktrees for Parallel Development

Git worktrees let you check out multiple branches simultaneously in separate directories. No more stashing, no more branch switching conflicts.

Setting Up Worktrees

# From your main repo directory
git worktree add ../myproject-feature-1 feature/api-endpoint
git worktree add ../myproject-feature-2
feature/frontend-component
git worktree add ../myproject-bugfix bugfix/login-issue

Now you have:
~/code/myproject/           # main branch
~/code/myproject-feature-1/ # feature/api-endpoint branch
~/code/myproject-feature-2/ # feature/frontend-component
branch
~/code/myproject-bugfix/    # bugfix/login-issue branch

Running Agents in Each Worktree

  1. Open a terminal per worktree - cd into each directory
  2. Start an AI agent in each - Run Claude Code (or your tool of choice)
  3. Assign focused tasks - Each agent works on its branch independently
  4. No conflicts - Branches are isolated. No stashing. No checkout errors.

Managing Worktrees

 # List all worktrees
 git worktree list

 # Remove a worktree when done
 git worktree remove ../myproject-feature-1

 # Prune stale worktree references
 git worktree prune

Pro tip: Name your worktree directories after the ticket/feature for easy identification.

How It Works in Practice

  1. Scope your prompts clearly - Each worktree gets a focused task. "Build the customer returns API endpoint" in one, "Create the returns list component" in another.
  2. Let agents work simultaneously - Don't wait. Fire off tasks across terminals and context-switch between reviewing outputs.
  3. Merge when ready - Each worktree is already on its own branch. Just push and PR.
  4. Review, don't babysit - Check in on agents periodically. They'll ask questions when blocked.

QA Without Meetings

Meetings kill momentum. Replace them with async recordings.

I use https://screensense.in to record:

  • Bug reproductions (30 seconds showing the issue)
  • Feature feedback (quick walkthrough of what needs changing)
  • Ticket context (visual explanation beats a wall of text)

Attach the recording link to the ticket. Done. The developer sees exactly what you see without scheduling a call.

The Workflow

Morning: Create worktrees for today's tasks, spin up agents Mid-day: Review outputs, merge PRs, record feedback on QA items End: Push completed work, remove finished worktrees, queue tomorrow's tasks

Why This Works

  • Parallel execution - 4 agents working beats 1 agent waiting
  • No branch conflicts - Worktrees isolate each task completely
  • Reduced context switching - Each terminal holds its own branch and context
  • Async communication - Recordings replace sync meetings
  • Faster iteration - Ship, test, fix, ship again

The bottleneck stops being "how fast can I type" and becomes "how fast can I review and direct."


Build fast. Record feedback. Skip the meetings.

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