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Dragan Spiridonov
9fd18ed00a
Consolidate C4 diagram generation onto a single engine and expose it to users via CLI and MCP, with a deterministic confidence gate and real Knowledge-Graph-derived relationships. - Consolidation (C1/C6): C4ModelService is the single render/analyze/store engine; the bridge delegates and FAILS LOUD on a render error instead of silently degrading. Duplicate inline generators removed. - C2: real component relationships from the Knowledge Graph (AST import/call edges) replace the naming heuristic; project-scoped via a new KG basePath so repos outside cwd don't trip the path-traversal guard. - C3: deterministic confidence gate (high/medium/low + reasons) on every diagram — surfaces the detector's known limits instead of hiding them. - C4/C5: `aqe code c4` CLI + `qe/code/c4` MCP tool (generate/search), verified at MCP-CLI parity and through the protocol-server bridge. - Search: generate persists embeddings (opt-in `enableC4Embeddings`, on for MCP) so `qe/code/c4 search` returns hits in the standard flow. - Fixed pre-existing lint in touched files (require->import, unused catches). Docs: ADR-112 + docs/guides/c4-architecture-diagrams.md. tsc + lint clean; C4 surface fully green. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Agentic QE v3 Implementation Documentation
This directory contains all implementation documentation, planning, and research for Agentic QE v3.
Directory Structure
implementation/
├── adrs/ # Architecture Decision Records
├── architecture/ # Architecture diagrams & analysis
├── planning/ # Master plans & implementation strategies
├── security/ # Security considerations
└── agents/ # Agent specifications
Document Index
ADRs (Architecture Decision Records)
| Document | Description |
|---|---|
| v3-adrs.md | All 10 ADRs (001-010) master document |
Planning
| Document | Description |
|---|---|
| AQE-V3-MASTER-PLAN.md | Complete v3 master plan with DDD architecture |
Quick Links
- Skills: /.claude/skills/v3-qe-ddd-architecture/
- Agents: /.claude/agents/v3/
- Source (future): /v3/src/ - v3 source code (to be implemented)
Key Concepts
Domain-Driven Design for QE
Agentic QE v3 uses DDD with 13 bounded contexts:
- Test Generation - AI-powered test creation
- Test Execution - Parallel execution and retry
- Coverage Analysis - O(log n) gap detection
- Quality Assessment - Quality gates and metrics
- Defect Intelligence - Prediction and analysis
- Learning Optimization - Pattern learning and transfer
- Code Intelligence - Knowledge graph, dependency and impact analysis
- Requirements Validation - Acceptance-criteria and BDD validation
- Security Compliance - Security scanning and compliance checks
- Contract Testing - Consumer/provider contract validation
- Visual Accessibility - Visual regression and a11y auditing
- Chaos Resilience - Fault injection and resilience testing
- Enterprise Integration - SAP/middleware/E2E enterprise flows
Agent Hierarchy
21 specialized v3 agents organized hierarchically:
- Queen Coordinator (orchestration)
- Test Generation Group (4 agents)
- Quality Gates Group (3 agents)
- Intelligence Group (3 agents)
- Execution Group (3 agents)
- Coverage Group (3 agents)
- Learning Group (4 agents)
Key ADRs
| ADR | Decision |
|---|---|
| ADR-001 | Adopt DDD for QE bounded contexts |
| ADR-002 | Event-driven domain communication |
| ADR-003 | Sublinear O(log n) coverage analysis |
| ADR-004 | Plugin architecture for extensions |
| ADR-005 | AI-first test generation |
Getting Started
# Use v3 DDD skill
Task("Analyze QE architecture",
"Design DDD bounded contexts for quality engineering",
"system-architect")
# Use v3 Queen Coordinator
Task("Orchestrate QE workflow",
"Coordinate full quality engineering workflow",
"v3-qe-queen-coordinator")
# Use v3 Test Architect
Task("Generate tests",
"Create AI-powered test suite for UserService",
"v3-qe-test-architect")
Last Updated: 2026-01-07 Version: 1.0.0