AI Team Lead
Be the tech lead for AI agents
The speed of shipping is now limited by how quickly you can plan, delegate, and review. Nimbalyst makes you the manager of an AI engineering team.
The Problem
Managing multiple agents is the new bottleneck
AI agents can code infinitely in parallel. But someone needs to plan the work, assign it, review the output, and coordinate -- that's you.
- Running multiple Claude Code sessions in terminals is chaotic
- No overview of what each agent is working on and its current status
- Agents working on the same repo can conflict with each other
- Context switching between agent sessions makes review overwhelming
How It Works
Manage agents like a team
Plan and delegate
Break work into tasks and launch a dedicated agent session for each. The session kanban gives you a real-time overview of all active agents.
Isolate with worktrees
Each agent session can run in its own git worktree, preventing conflicts when multiple agents modify the same repo simultaneously.
Review and merge
When an agent finishes, review its changes with visual diffs, run tests, and merge. The session tracks every file touched and every decision made.
The Difference
From chaos to orchestration
Without Nimbalyst
- ✕ Multiple terminal windows with no way to see overall status
- ✕ Agents stepping on each other's changes in the same branch
- ✕ Forgetting which agent is working on what
- ✕ Reviewing output by scrolling through terminal histories
With Nimbalyst
- ✓ Session kanban shows every agent's status at a glance
- ✓ Git worktrees isolate each agent's changes automatically
- ✓ Named sessions with clear task descriptions and progress
- ✓ Visual diffs and file summaries for efficient review
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