parallel-execution.md•1.23 kB
# 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
## CLI Usage
```bash
# Execute parallel tasks via CLI
npx claude-flow parallel "Build REST API" --max-agents 8
```
## 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": 1000, "swarmId": "current"}
```
Watch real-time parallel execution progress!