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5a2883a4a0
Agentic Quality Engineering Fleet - AI-driven quality management platform Features: - 16 specialized QE agents for comprehensive testing - AI-powered test generation with 95% coverage targets - O(log n) sublinear algorithms for massive scale - Parallel test execution with intelligent orchestration - Real-time coverage analysis and gap detection - Smart quality gates with ML-driven decisions - Security scanning (SAST, DAST, dependency analysis) - Performance testing with load orchestration - Flaky test detection with automatic stabilization - API contract validation with breaking change detection - Test data generation (10,000+ records/sec) - Production intelligence (convert incidents to tests) - Chaos engineering for resilience testing - MCP integration with Claude Code - Multi-framework support (Jest, Mocha, Cypress, Playwright) Architecture: - TypeScript implementation - MCP (Model Context Protocol) integration - Claude Code agent orchestration - Event-driven agent coordination - Distributed fleet management - Cross-session memory persistence Documentation: - Complete API documentation (TypeDoc) - User guides (Getting Started, MCP Integration, Test Generation, etc.) - Architecture deep-dive - CLI reference - Contributing guidelines - MIT License Tech Stack: - TypeScript 5.3+ - Node.js 18+ - @anthropic-ai/sdk ^0.64.0 - @modelcontextprotocol/sdk ^1.18.2 - Jest for testing - Winston for logging - SQLite for persistence Project Structure: - src/ - Source code (agents, core, MCP, CLI) - tests/ - Comprehensive test suite - docs/ - Complete documentation - .claude/ - Agent definitions and commands - config/ - Configuration files 🤖 Generated with Claude Code https://claude.com/claude-code Co-Authored-By: Claude <noreply@anthropic.com>
637 lines
17 KiB
Markdown
637 lines
17 KiB
Markdown
# Agentic QE System Architecture Diagrams
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## System Overview
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This document provides visual representations of the Agentic QE fleet architecture using C4 model notation and UML diagrams to illustrate system components, interactions, and data flows.
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## C4 Model Architecture
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### Level 1: System Context Diagram
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```mermaid
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graph TB
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User[Software Developer/QE Engineer]
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QEFleet[Agentic QE Fleet System]
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CI[CI/CD Pipeline<br/>Jenkins, GitHub Actions, GitLab]
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Repo[Source Code Repository<br/>GitHub, GitLab, Bitbucket]
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TestFramework[Testing Frameworks<br/>Jest, Cypress, PyTest, JUnit]
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Monitoring[Monitoring Systems<br/>Grafana, DataDog, New Relic]
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IssueTracking[Issue Tracking<br/>Jira, GitHub Issues]
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User --> QEFleet
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QEFleet --> CI
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QEFleet --> Repo
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QEFleet --> TestFramework
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QEFleet --> Monitoring
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QEFleet --> IssueTracking
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style QEFleet fill:#e1f5fe
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style User fill:#f3e5f5
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style CI fill:#e8f5e8
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style Repo fill:#fff3e0
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style TestFramework fill:#fce4ec
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style Monitoring fill:#f1f8e9
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style IssueTracking fill:#e0f2f1
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```
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### Level 2: Container Diagram
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```mermaid
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graph TB
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subgraph "Agentic QE Fleet System"
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CLI[CLI Interface<br/>Command Line Tool]
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API[REST API Gateway<br/>Node.js/Express]
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Orchestrator[QE Orchestrator<br/>Agent Coordination Hub]
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Memory[Shared Memory<br/>Redis/Knowledge Graph]
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subgraph "Agent Fleet"
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TestGen[Test Generation Agents]
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TestExec[Test Execution Agents]
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QualityAnalysis[Quality Analysis Agents]
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Intelligence[Quality Intelligence Agents]
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end
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subgraph "Data Layer"
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Metrics[Metrics Database<br/>InfluxDB]
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Results[Test Results Store<br/>PostgreSQL]
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Knowledge[Knowledge Graph<br/>Neo4j]
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end
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subgraph "Infrastructure"
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MessageQueue[Message Queue<br/>RabbitMQ/Kafka]
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Storage[File Storage<br/>S3/MinIO]
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Monitor[System Monitoring<br/>Prometheus]
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end
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end
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External[External Systems]
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CLI --> API
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API --> Orchestrator
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Orchestrator --> Memory
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Orchestrator --> TestGen
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Orchestrator --> TestExec
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Orchestrator --> QualityAnalysis
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Orchestrator --> Intelligence
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TestGen --> MessageQueue
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TestExec --> MessageQueue
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QualityAnalysis --> MessageQueue
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Intelligence --> MessageQueue
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MessageQueue --> Metrics
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MessageQueue --> Results
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MessageQueue --> Knowledge
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API --> External
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style CLI fill:#e3f2fd
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style API fill:#e8f5e8
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style Orchestrator fill:#fff3e0
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style Memory fill:#fce4ec
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style MessageQueue fill:#f3e5f5
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```
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### Level 3: Component Diagram - QE Orchestrator
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```mermaid
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graph TB
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subgraph "QE Orchestrator Container"
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subgraph "Coordination Engine"
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TaskDistributor[Task Distributor]
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LoadBalancer[Load Balancer]
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FailureHandler[Failure Handler]
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ResultAggregator[Result Aggregator]
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end
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subgraph "Agent Management"
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AgentRegistry[Agent Registry]
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LifecycleManager[Lifecycle Manager]
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CapabilityMatcher[Capability Matcher]
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HealthMonitor[Health Monitor]
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end
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subgraph "Quality Intelligence"
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PatternLearner[Pattern Learner]
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TrendAnalyzer[Trend Analyzer]
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RiskAssessor[Risk Assessor]
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RecommendationEngine[Recommendation Engine]
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end
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subgraph "Communication Hub"
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MessageRouter[Message Router]
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EventProcessor[Event Processor]
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NotificationManager[Notification Manager]
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end
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end
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TaskDistributor --> AgentRegistry
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LoadBalancer --> CapabilityMatcher
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FailureHandler --> LifecycleManager
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ResultAggregator --> PatternLearner
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HealthMonitor --> MessageRouter
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TrendAnalyzer --> EventProcessor
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RiskAssessor --> NotificationManager
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style TaskDistributor fill:#e1f5fe
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style AgentRegistry fill:#e8f5e8
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style PatternLearner fill:#fff3e0
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style MessageRouter fill:#fce4ec
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```
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## Agent Fleet Architecture
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### Agent Type Hierarchy
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```mermaid
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graph TD
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BaseAgent[Base QE Agent]
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subgraph "Test Generation Agents"
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UnitTestGen[Unit Test Generator]
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IntegrationTestGen[Integration Test Generator]
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APITestGen[API Test Generator]
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UITestGen[UI Test Generator]
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PerformanceTestGen[Performance Test Generator]
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end
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subgraph "Quality Validation Agents"
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CodeQualityAnalyzer[Code Quality Analyzer]
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CoverageAnalyzer[Coverage Analyzer]
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SecurityTestAgent[Security Test Agent]
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AccessibilityAgent[Accessibility Test Agent]
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end
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subgraph "Test Execution Agents"
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TestRunnerOrchestrator[Test Runner Orchestrator]
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EnvironmentManager[Environment Manager]
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DataManager[Data Manager]
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ResultAggregator[Result Aggregator]
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end
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subgraph "Intelligence Agents"
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AITestDesigner[AI Test Designer]
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ChaosAgent[Chaos Engineering Agent]
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MutationAgent[Mutation Test Agent]
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VisualTestAgent[Visual Test Agent]
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end
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BaseAgent --> UnitTestGen
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BaseAgent --> IntegrationTestGen
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BaseAgent --> APITestGen
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BaseAgent --> UITestGen
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BaseAgent --> PerformanceTestGen
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BaseAgent --> CodeQualityAnalyzer
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BaseAgent --> CoverageAnalyzer
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BaseAgent --> SecurityTestAgent
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BaseAgent --> AccessibilityAgent
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BaseAgent --> TestRunnerOrchestrator
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BaseAgent --> EnvironmentManager
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BaseAgent --> DataManager
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BaseAgent --> ResultAggregator
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BaseAgent --> AITestDesigner
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BaseAgent --> ChaosAgent
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BaseAgent --> MutationAgent
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BaseAgent --> VisualTestAgent
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style BaseAgent fill:#e1f5fe
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style UnitTestGen fill:#e8f5e8
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style CodeQualityAnalyzer fill:#fff3e0
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style TestRunnerOrchestrator fill:#fce4ec
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style AITestDesigner fill:#f3e5f5
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```
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### Agent Communication Flow
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```mermaid
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sequenceDiagram
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participant User
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participant CLI
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participant Orchestrator
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participant TestGenAgent
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participant TestExecAgent
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participant QualityAgent
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participant Memory
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User->>CLI: agentic-qe test full-suite "app"
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CLI->>Orchestrator: Test execution request
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Orchestrator->>Memory: Load test history/patterns
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Orchestrator->>TestGenAgent: Generate test suite
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TestGenAgent->>Memory: Store generated tests
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TestGenAgent->>Orchestrator: Test generation complete
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Orchestrator->>TestExecAgent: Execute test suite
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TestExecAgent->>Memory: Store execution progress
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TestExecAgent->>Orchestrator: Execution results
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Orchestrator->>QualityAgent: Analyze quality metrics
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QualityAgent->>Memory: Store quality analysis
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QualityAgent->>Orchestrator: Quality report
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Orchestrator->>Memory: Update learning patterns
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Orchestrator->>CLI: Comprehensive results
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CLI->>User: Test results & recommendations
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```
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## Data Flow Architecture
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### Quality Information Flow
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```mermaid
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graph LR
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subgraph "Input Sources"
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SourceCode[Source Code]
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TestResults[Test Results]
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QualityMetrics[Quality Metrics]
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UserFeedback[User Feedback]
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end
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subgraph "Processing Layer"
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DataIngestion[Data Ingestion Engine]
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PatternExtraction[Pattern Extraction]
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QualityAnalysis[Quality Analysis]
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LearningEngine[Learning Engine]
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end
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subgraph "Intelligence Layer"
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KnowledgeGraph[Knowledge Graph]
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PredictiveModels[Predictive Models]
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RecommendationEngine[Recommendation Engine]
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TrendAnalysis[Trend Analysis]
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end
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subgraph "Output Layer"
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QualityDashboard[Quality Dashboard]
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AlertSystem[Alert System]
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Reports[Automated Reports]
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ActionableInsights[Actionable Insights]
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end
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SourceCode --> DataIngestion
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TestResults --> DataIngestion
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QualityMetrics --> DataIngestion
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UserFeedback --> DataIngestion
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DataIngestion --> PatternExtraction
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DataIngestion --> QualityAnalysis
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PatternExtraction --> LearningEngine
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QualityAnalysis --> LearningEngine
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LearningEngine --> KnowledgeGraph
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LearningEngine --> PredictiveModels
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KnowledgeGraph --> RecommendationEngine
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PredictiveModels --> TrendAnalysis
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RecommendationEngine --> QualityDashboard
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TrendAnalysis --> AlertSystem
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KnowledgeGraph --> Reports
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PredictiveModels --> ActionableInsights
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style DataIngestion fill:#e1f5fe
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style LearningEngine fill:#e8f5e8
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style KnowledgeGraph fill:#fff3e0
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style QualityDashboard fill:#fce4ec
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```
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### Test Execution Flow
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```mermaid
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graph TD
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Start([Test Execution Request])
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subgraph "Planning Phase"
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AnalyzeCode[Analyze Code Changes]
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SelectTests[Select Relevant Tests]
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PrioritizeTests[Prioritize Test Execution]
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AllocateResources[Allocate Resources]
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end
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subgraph "Generation Phase"
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GenerateUnit[Generate Unit Tests]
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GenerateIntegration[Generate Integration Tests]
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GenerateE2E[Generate E2E Tests]
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ValidateTests[Validate Generated Tests]
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end
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subgraph "Execution Phase"
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SetupEnvironment[Setup Test Environment]
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ParallelExecution[Parallel Test Execution]
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MonitorProgress[Monitor Execution Progress]
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HandleFailures[Handle Test Failures]
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end
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subgraph "Analysis Phase"
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AggregateResults[Aggregate Test Results]
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AnalyzeCoverage[Analyze Coverage]
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AssessQuality[Assess Quality Metrics]
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GenerateReport[Generate Test Report]
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end
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subgraph "Learning Phase"
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ExtractPatterns[Extract Failure Patterns]
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UpdateModels[Update Predictive Models]
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StoreKnowledge[Store Knowledge]
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OptimizeStrategy[Optimize Test Strategy]
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end
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End([Execution Complete])
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Start --> AnalyzeCode
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AnalyzeCode --> SelectTests
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SelectTests --> PrioritizeTests
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PrioritizeTests --> AllocateResources
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AllocateResources --> GenerateUnit
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AllocateResources --> GenerateIntegration
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AllocateResources --> GenerateE2E
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GenerateUnit --> ValidateTests
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GenerateIntegration --> ValidateTests
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GenerateE2E --> ValidateTests
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ValidateTests --> SetupEnvironment
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SetupEnvironment --> ParallelExecution
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ParallelExecution --> MonitorProgress
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MonitorProgress --> HandleFailures
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HandleFailures --> AggregateResults
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AggregateResults --> AnalyzeCoverage
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AnalyzeCoverage --> AssessQuality
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AssessQuality --> GenerateReport
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GenerateReport --> ExtractPatterns
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ExtractPatterns --> UpdateModels
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UpdateModels --> StoreKnowledge
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StoreKnowledge --> OptimizeStrategy
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OptimizeStrategy --> End
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style Start fill:#e1f5fe
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style AnalyzeCode fill:#e8f5e8
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style GenerateUnit fill:#fff3e0
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style ParallelExecution fill:#fce4ec
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style AggregateResults fill:#f3e5f5
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style ExtractPatterns fill:#f1f8e9
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style End fill:#e1f5fe
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```
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## Deployment Architecture
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### Multi-Environment Deployment
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```mermaid
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graph TB
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subgraph "Development Environment"
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DevQE[QE Fleet - Dev]
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DevDB[Dev Database]
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DevStorage[Dev Storage]
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end
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subgraph "Testing Environment"
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TestQE[QE Fleet - Test]
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TestDB[Test Database]
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TestStorage[Test Storage]
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end
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subgraph "Staging Environment"
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StageQE[QE Fleet - Staging]
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StageDB[Staging Database]
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StageStorage[Staging Storage]
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end
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subgraph "Production Environment"
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ProdQE[QE Fleet - Production]
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ProdDB[Production Database]
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ProdStorage[Production Storage]
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end
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subgraph "Shared Services"
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SharedKnowledge[Shared Knowledge Graph]
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SharedMetrics[Shared Metrics Platform]
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SharedMonitoring[Shared Monitoring]
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end
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DevQE --> DevDB
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DevQE --> DevStorage
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TestQE --> TestDB
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TestQE --> TestStorage
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StageQE --> StageDB
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StageQE --> StageStorage
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ProdQE --> ProdDB
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ProdQE --> ProdStorage
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DevQE --> SharedKnowledge
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TestQE --> SharedKnowledge
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StageQE --> SharedKnowledge
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ProdQE --> SharedKnowledge
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DevQE --> SharedMetrics
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TestQE --> SharedMetrics
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StageQE --> SharedMetrics
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ProdQE --> SharedMetrics
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SharedMetrics --> SharedMonitoring
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style DevQE fill:#e3f2fd
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style TestQE fill:#e8f5e8
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style StageQE fill:#fff3e0
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style ProdQE fill:#fce4ec
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style SharedKnowledge fill:#f3e5f5
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```
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## Integration Architecture
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### CI/CD Pipeline Integration
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```mermaid
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graph LR
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subgraph "Source Control"
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GitRepo[Git Repository]
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WebHook[Git Webhook]
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end
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subgraph "CI/CD Pipeline"
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Trigger[Pipeline Trigger]
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Build[Build Stage]
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QEStage[QE Testing Stage]
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Deploy[Deployment Stage]
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end
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subgraph "Agentic QE Fleet"
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QEOrchestrator[QE Orchestrator]
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TestGeneration[Test Generation]
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TestExecution[Test Execution]
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QualityGates[Quality Gates]
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end
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subgraph "Quality Feedback"
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Results[Test Results]
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Coverage[Coverage Report]
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Quality[Quality Metrics]
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Recommendations[Recommendations]
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end
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GitRepo --> WebHook
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WebHook --> Trigger
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Trigger --> Build
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Build --> QEStage
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QEStage --> QEOrchestrator
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QEOrchestrator --> TestGeneration
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QEOrchestrator --> TestExecution
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QEOrchestrator --> QualityGates
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TestGeneration --> Results
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TestExecution --> Coverage
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QualityGates --> Quality
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QualityGates --> Recommendations
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QualityGates --> Deploy
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style QEStage fill:#e1f5fe
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style QEOrchestrator fill:#e8f5e8
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style QualityGates fill:#fff3e0
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style Deploy fill:#fce4ec
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```
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## Security Architecture
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### Security Layers
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```mermaid
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graph TB
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subgraph "Security Perimeter"
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WAF[Web Application Firewall]
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LoadBalancer[Load Balancer]
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APIGateway[API Gateway]
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end
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subgraph "Authentication & Authorization"
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AuthService[Authentication Service]
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RBAC[Role-Based Access Control]
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TokenManager[Token Manager]
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end
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subgraph "Application Security"
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SecureAPI[Secure API Layer]
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DataValidation[Data Validation]
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AuditLogger[Audit Logger]
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end
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subgraph "Data Security"
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Encryption[Data Encryption]
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SecureStorage[Secure Storage]
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BackupEncryption[Backup Encryption]
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end
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subgraph "Network Security"
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VPN[VPN Access]
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NetworkSegmentation[Network Segmentation]
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TLSEncryption[TLS Encryption]
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end
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subgraph "Monitoring & Compliance"
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SecurityMonitoring[Security Monitoring]
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ComplianceChecks[Compliance Checks]
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ThreatDetection[Threat Detection]
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end
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WAF --> LoadBalancer
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LoadBalancer --> APIGateway
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APIGateway --> AuthService
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AuthService --> RBAC
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RBAC --> TokenManager
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TokenManager --> SecureAPI
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SecureAPI --> DataValidation
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DataValidation --> AuditLogger
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AuditLogger --> Encryption
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Encryption --> SecureStorage
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SecureStorage --> BackupEncryption
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VPN --> NetworkSegmentation
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NetworkSegmentation --> TLSEncryption
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SecurityMonitoring --> ComplianceChecks
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ComplianceChecks --> ThreatDetection
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style WAF fill:#ffebee
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style AuthService fill:#e8f5e8
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style SecureAPI fill:#e1f5fe
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style Encryption fill:#fff3e0
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style VPN fill:#fce4ec
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style SecurityMonitoring fill:#f3e5f5
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```
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## Scalability Architecture
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### Horizontal Scaling Pattern
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```mermaid
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graph TB
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subgraph "Load Distribution"
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LoadBalancer[Load Balancer]
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HealthCheck[Health Check]
|
|
end
|
|
|
|
subgraph "QE Fleet Cluster"
|
|
QENode1[QE Node 1]
|
|
QENode2[QE Node 2]
|
|
QENode3[QE Node 3]
|
|
QENodeN[QE Node N...]
|
|
end
|
|
|
|
subgraph "Auto Scaling"
|
|
AutoScaler[Auto Scaler]
|
|
MetricsCollector[Metrics Collector]
|
|
ScalingPolicy[Scaling Policy]
|
|
end
|
|
|
|
subgraph "Shared Resources"
|
|
SharedMemory[Shared Memory]
|
|
MessageQueue[Message Queue]
|
|
Database[Database Cluster]
|
|
end
|
|
|
|
LoadBalancer --> QENode1
|
|
LoadBalancer --> QENode2
|
|
LoadBalancer --> QENode3
|
|
LoadBalancer --> QENodeN
|
|
|
|
HealthCheck --> QENode1
|
|
HealthCheck --> QENode2
|
|
HealthCheck --> QENode3
|
|
HealthCheck --> QENodeN
|
|
|
|
MetricsCollector --> AutoScaler
|
|
AutoScaler --> ScalingPolicy
|
|
ScalingPolicy --> LoadBalancer
|
|
|
|
QENode1 --> SharedMemory
|
|
QENode2 --> SharedMemory
|
|
QENode3 --> SharedMemory
|
|
QENodeN --> SharedMemory
|
|
|
|
QENode1 --> MessageQueue
|
|
QENode2 --> MessageQueue
|
|
QENode3 --> MessageQueue
|
|
QENodeN --> MessageQueue
|
|
|
|
QENode1 --> Database
|
|
QENode2 --> Database
|
|
QENode3 --> Database
|
|
QENodeN --> Database
|
|
|
|
style LoadBalancer fill:#e1f5fe
|
|
style QENode1 fill:#e8f5e8
|
|
style AutoScaler fill:#fff3e0
|
|
style SharedMemory fill:#fce4ec
|
|
```
|
|
|
|
These diagrams provide a comprehensive visual representation of the Agentic QE fleet architecture, showing the relationships between components, data flows, and system interactions. They serve as a reference for implementation teams and stakeholders to understand the system's structure and behavior. |