Multi-Agent Coordination Pattern

Extracted from CloudOps-Runbooks operational experience. Describes the coordination philosophy that informs ADLC's agent model.

Why Specialised Agents?

A single agent attempting architecture review, cost analysis, security compliance, and deployment simultaneously produces shallow results. Specialised agents with clear boundaries produce deeper analysis within their domain while a coordination layer ensures consistency.

Design Principles

1. Separation of concerns — each agent owns a single domain (architecture, testing, cost, security, deployment)
2. Parallel execution where possible — independent analyses run concurrently, not sequentially
3. Human-in-the-loop gates — high-impact decisions (production deployment, cost commitments) require explicit approval
4. Quality gate ordering — validation must pass before parallel analysis begins

Coordination Layout

The pattern uses role-based specialisation:

┌──────────────────┬──────────────────┐
│ Management       │ Development      │
│ Strategic HITL   │ Code Excellence  │
├──────────────────┼──────────────────┤
│ Architect        │ Test/QA          │
│ Multi-Account    │ Coverage Gates   │
├──────────────────┼──────────────────┤
│ Cost/FinOps      │ Deploy           │
│ Business Value   │ Production Safe  │
└──────────────────┴──────────────────┘

Agent Responsibilities

Agent	Domain	Key Outputs
Management	Strategic oversight, approval gates	Go/no-go decisions, executive summaries
Development	Implementation, performance	Working code, integration tests
Architect	Multi-account design, security compliance	Architecture decisions, compliance validation
Test/QA	Coverage enforcement, benchmarking	Test reports, coverage metrics
Cost/FinOps	Financial analysis, optimization	Cost analysis, savings recommendations
Deploy	Production safety, rollback	Deployment plans, health checks

Coordination Patterns

Pattern 1: Parallel Analysis

Independent analyses run concurrently after quality gates pass:

Quality Gate (Test) → PASS
  ├── Architect: security/compliance review (parallel)
  ├── Cost: financial analysis (parallel)
  └── Wait for both → Management approval → Deploy

Pattern 2: Sequential Quality Gates

Risk-sensitive changes require ordered validation:

Test → PASS → Architect Review → PASS → Cost Analysis → Management Approval → Deploy

Pattern 3: Strategic Mission

Full coordination for high-impact initiatives:

1. Setup (Phase 1): Management defines objectives, Cost establishes baseline, Architect validates feasibility
2. Execution (Phase 2): Development implements, Test validates, Deploy prepares
3. Delivery (Phase 3): Management reviews, Cost validates impact, Deploy executes

Approval Matrix

Change Type	Required Approvals	Rationale
Production changes	Management	Business continuity risk
Cost impact above threshold	Management + Cost	Financial commitment
Security changes	Management + Architect	Compliance obligation
Architecture changes	Management + Architect	Long-term maintainability

Anti-Patterns

Anti-Pattern	Description	Consequence
Sequential masquerading as parallel	Running agents one-at-a-time	Wastes time, loses parallelism benefit
Bypassing quality gates	Skipping validation to save time	Undetected failures reach production
Technical-only focus	Missing business value quantification	Cannot justify investment
Approval gate bypass	Deploying without oversight	Uncontrolled blast radius
Over-engineering	Building new when enhancing existing works	Unnecessary complexity

Safety Controls

• Default dry-run: Destructive operations require explicit confirmation
• Automated rollback triggers: Error rate threshold, latency degradation, availability drop
• Rate limiting: API throttling to prevent resource exhaustion
• Audit trails: Complete operation logging

Applicability to ADLC

This pattern directly informs ADLC's agent team structure:

• product-owner → Management agent role (requirements, prioritisation)
• cloud-architect → Architect agent role (design, security)
• Specialist agents → Domain agents (infrastructure, QA, security, observability)

The key insight: coordination overhead is an investment, not waste. The approval gates and parallel execution patterns prevent the most expensive failures — those discovered in production.

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Origin: CloudOps-Runbooks agent coordination experience. Adapted for ADLC framework-level guidance.