Implementation
AI-powered feature implementation
Break a feature into tasks, spin up isolated agent sessions for each, and watch them build in parallel. Review every change before it lands.
The Problem
Implementation is sequential and slow
Traditional development is one task at a time. Even with AI agents, running them in a single branch creates conflicts and makes review chaotic.
- One developer can only work on one thing at a time
- AI agents in the same branch step on each other's changes
- Context switching between features costs 20+ minutes each time
- Reviewing large PRs with mixed changes is error-prone
How It Works
Parallel implementation with isolation
Spin up isolated worktrees
Each agent session gets its own git worktree -- a fully isolated copy of your repo. Agents work in parallel without conflicts.
Monitor progress
The session kanban shows every active agent, what it's working on, and its current status. Watch multiple implementations progress in real time.
Review and merge
When an agent finishes, review its changes with visual diffs. Each session's changes are isolated, so you review clean, focused diffs.
The Difference
Ship features faster with parallel agents
Without Nimbalyst
- ✕ One task at a time, sequential implementation
- ✕ Multiple agents in one branch cause merge conflicts
- ✕ Large mixed PRs are hard to review
- ✕ Context switching between features wastes hours
With Nimbalyst
- ✓ Multiple agents implement features simultaneously
- ✓ Git worktrees isolate each agent's changes
- ✓ Clean, focused diffs for each feature
- ✓ Session kanban keeps everything organized
Powered By
Nimbalyst features behind this workflow
Agent Orchestration
Launch and manage multiple parallel agent sessions from a kanban board.
Git & Version Control
Git worktrees isolate each agent's work in its own branch.
Session Management
Named sessions with full history, file tracking, and status.
Developer Tools
Code editor and terminal for reviewing and testing implementations.
