Mastering Agent Coordination in Claude Fast

One of Claude Fast's most powerful features is its multi-agent coordination system. By understanding how to effectively orchestrate multiple AI agents, you can dramatically accelerate your development workflow and build more robust applications. Let's dive deep into mastering agent coordination.

Understanding Agent Specialization

Claude Fast's agents aren't generalists - they're specialists. Each agent has been optimized with specific system prompts, context, and capabilities for their domain:

Parallel vs Sequential Execution

When to Use Parallel Execution

Parallel execution is your secret weapon for speed. Use it when tasks are truly independent:

// Example: Building a dashboard feature
// These can all happen simultaneously:

Task 1: frontend-specialist
  → "Create dashboard UI components with charts and metrics"

Task 2: backend-engineer  
  → "Implement server actions for fetching analytics data"

Task 3: supabase-specialist
  → "Design analytics tables and set up RLS policies"

// All three agents work in parallel, reducing time from 45 minutes to 15 minutes

When Sequential Execution is Required

Some workflows have natural dependencies that require sequential execution:

// Example: Implementing a comments system
// Each step depends on the previous:

Step 1: supabase-specialist
  → "Create comments table with proper relations"
  // Must complete before...

Step 2: backend-engineer
  → "Implement comment CRUD server actions"
  // Must complete before...

Step 3: frontend-specialist
  → "Build comment UI components"

Advanced Coordination Patterns

The Debug + Research Pattern

When debugging complex issues, always use the Debug + Research parallel pattern:

// Debugging a performance issue
Parallel Execution:
  debugger-detective: "Investigate slow render in dashboard"
  deep-researcher: "Research React performance optimization techniques"

// The debugger finds the specific issue while the researcher
// provides best practices and solutions

The Validation Triad

For comprehensive quality assurance, run three specialists in parallel:

// Pre-deployment validation
Parallel Execution:
  security-auditor: "Check for vulnerabilities and RLS gaps"
  performance-optimizer: "Verify Core Web Vitals and bundle size"
  quality-engineer: "Run comprehensive test suite"

The Feature Squad

For complex feature development, coordinate multiple specialists:

// Building a real-time collaboration feature
Phase 1 (Parallel):
  master-orchestrator: "Analyze architecture and plan implementation"
  deep-researcher: "Research real-time collaboration patterns"

Phase 2 (Parallel):
  supabase-specialist: "Implement real-time subscriptions"
  frontend-specialist: "Build collaboration UI components"
  backend-engineer: "Create conflict resolution logic"

Phase 3 (Sequential):
  quality-engineer: "Test real-time synchronization"
  security-auditor: "Verify data isolation between users"

Maximizing Agent Efficiency

1. Always Include "Think Hard"

Every agent performs better when instructed to "think hard":

// Good
Task(prompt="Think hard and implement user authentication with OAuth")

// Less Effective
Task(prompt="Implement user authentication with OAuth")

2. Provide Clear Context

Agents work best with specific, detailed instructions:

// Excellent Context
Task(
  prompt=`Think hard and create a dashboard page that:
  - Displays user metrics in cards
  - Includes a line chart for 30-day trends  
  - Has real-time updates via Supabase subscriptions
  - Follows our existing design patterns
  - Is fully responsive and accessible`
)

// Vague Context
Task(prompt="Make a dashboard")

3. Leverage Session Continuity

Claude Fast maintains context across sessions. Use this to your advantage:

Common Coordination Mistakes to Avoid

1. Over-Serialization

❌ Running everything sequentially when parallel execution is possible

2. Under-Delegation

❌ Trying to do specialist work yourself instead of delegating to agents

3. Missing Context

❌ Not reading session files before starting new work

4. Skipping Validation

❌ Not using validation specialists for critical features

Real-World Example: Building a SaaS Billing System

Let's walk through a complete example of building a billing system using optimal agent coordination:

// Phase 1: Research and Planning (Parallel)
master-orchestrator: "Analyze billing requirements and architecture"
deep-researcher: "Research Stripe integration best practices"
// Duration: 15 minutes

// Phase 2: Infrastructure (Sequential)
supabase-specialist: "Create billing tables and subscription schema"
// Duration: 10 minutes

// Phase 3: Implementation (Parallel)
backend-engineer: "Implement Stripe webhooks and payment processing"
frontend-specialist: "Build pricing page and billing dashboard"
// Duration: 25 minutes

// Phase 4: Quality Assurance (Parallel)
security-auditor: "Verify PCI compliance and secure payment handling"
quality-engineer: "Test payment flows and edge cases"
performance-optimizer: "Optimize checkout flow performance"
// Duration: 20 minutes

// Total time: 70 minutes (vs 140 minutes if sequential)

Measuring Coordination Success

Track these metrics to improve your coordination:

1. Parallelization Rate: % of tasks run in parallel vs sequential
2. Agent Utilization: How often you delegate vs do it yourself
3. Context Hits: How well agents understand requirements first time
4. Rework Rate: How often work needs to be redone

Advanced Tips for Power Users

1. Custom Coordination Patterns

Create your own reusable coordination patterns for common workflows in your project.

2. Agent Feedback Loops

Use the output from one agent to enhance prompts for another.

3. Progressive Enhancement

Start with core functionality using parallel agents, then layer on enhancements.

4. Context Preloading

For complex features, have the master-orchestrator analyze and prepare context for all agents upfront.

Conclusion

Mastering agent coordination in Claude Fast is like conducting an orchestra - when done well, the result is far greater than the sum of its parts. By understanding when to parallelize, how to provide context, and which patterns to use, you can build complex features in a fraction of the traditional time.

Remember: The best developers aren't those who can do everything themselves, but those who can orchestrate specialists to achieve extraordinary results.

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