claude-flow/.claude/commands/optimization/parallel-execution.md

Enterprise-grade AI agent orchestration with ruv-swarm integration (Alpha Release)

# Parallel Task Execution

## Purpose
Execute independent subtasks in parallel for maximum efficiency.

## Coordination Strategy

### 1. Task Decomposition
```
Tool: mcp__claude-flow__task_orchestrate
Parameters: {
  "task": "Build complete REST API with auth, CRUD operations, and tests",
  "strategy": "parallel",
  "maxAgents": 8
}
```

### 2. Parallel Workflows
The system automatically:
- Identifies independent components
- Assigns specialized agents
- Executes in parallel where possible
- Synchronizes at dependency points

### 3. Example Breakdown
For the REST API task:
- **Agent 1 (Architect)**: Design API structure
- **Agent 2-3 (Coders)**: Implement auth & CRUD in parallel
- **Agent 4 (Tester)**: Write tests as features complete
- **Agent 5 (Documenter)**: Update docs continuously

## Performance Gains
- 🚀 2.8-4.4x faster execution
- 💪 Optimal CPU utilization
- 🔄 Automatic load balancing
- 📈 Linear scalability with agents

## Monitoring
```
Tool: mcp__claude-flow__swarm_monitor
Parameters: {"interval": 1, "duration": 10}
```

Watch real-time parallel execution progress!