swarm-optimization-patterns

Agent Building

Multi-agent coordination, critical path method, dependency DAG, and agent allocation optimization

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Swarm Optimization Patterns

Critical Path Method (CPM)

Task A (3min) ─┐
               ├── Task D (5min) ── Task F (2min)
Task B (2min) ─┘        │
                         └── Task E (3min) ── Task G (1min)
Task C (4min) ─────────────────────────────── Task H (2min)

Critical Path: C → H = 6min (longest path)
Zero-slack: C, H (gecikme tüm timeline'ı etkiler)

Dependency DAG Construction

interface TaskNode {
  id: string
  agent: string
  estimatedMinutes: number
  dependencies: string[]  // task IDs
  priority: 'critical' | 'high' | 'medium' | 'low'
}

// Topological sort ile execution order
function buildExecutionPlan(tasks: TaskNode[]): TaskNode[][] {
  const layers: TaskNode[][] = []
  const completed = new Set<string>()

  while (completed.size < tasks.length) {
    const ready = tasks.filter(t =>
      !completed.has(t.id) &&
      t.dependencies.every(d => completed.has(d))
    )
    layers.push(ready)  // Bu layer paralel çalışabilir
    ready.forEach(t => completed.add(t.id))
  }
  return layers
}

Agent Allocation Strategy

Strateji	Ne Zaman	Nasıl
Specialization	Uzman agent var	Task → matching agent
Load Balancing	Eşit workload	Round-robin + capacity
Priority-Based	Critical path	Zero-slack task'lara öncelik
Affinity	Context reuse	Aynı dosyaları kullanan task'lar aynı agent'a

Bottleneck Detection

## Bottleneck Tipleri

| Tip | Tespit | Çözüm |
|-----|--------|-------|
| Resource Contention | Aynı dosya birden fazla agent | Sıralı execute veya lock |
| QA Queue | Review bekleyen task yığılması | Paralel reviewer |
| Dependency Chain | Uzun sıralı bağımlılık | Task decomposition |
| Agent Failure | Tekrarlayan fail | Fallback agent, reassign |

Parallel Execution Rules

BAĞIMSIZ task'lar → PARALEL
  - Farklı dosyalarda çalışan
  - Birbirine bağımlı olmayan
  - Farklı concern'ler (frontend + backend)

BAĞIMLI task'lar → SIRALI
  - Aynı dosyada çalışan
  - Output → Input ilişkisi olan
  - Schema → Code → Test zinciri

Phase Transition Criteria

Phase	Geçiş Kriteri
Keşif → Geliştirme	Plan onaylandı, task'lar tanımlı
Geliştirme → Review	Tüm task'lar QA'den geçti
Review → Düzeltme	Review feedback var
Düzeltme → Final	Tüm feedback resolved

Amdahl's Law

Speedup = 1 / ((1-P) + P/N)

P = parallelizable fraction
N = number of agents

Örnek: %80 parallel, 5 agent
Speedup = 1 / (0.2 + 0.8/5) = 1/0.36 = 2.78x

Checklist

Dependency DAG oluşturulmuş
Critical path tespit edilmiş
Paralel task'lar paralel assign
Bottleneck detection aktif
Agent-task affinity uygun
Phase transition kriterleri tanımlı
Fallback agent'lar belirlenmiş

Anti-Patterns

Tüm task'ları sıralı çalıştırma
Bağımlı task'ları paralel çalıştırma (conflict)
Her task'a ayrı agent (overhead)
Critical path'i optimize etmemek
Agent fail sonrası retry etmemek