/parallel-execution

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

# 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!