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Dragan Spiridonov
3e6bd4a6b4
Documents the four @ruvector/router 0.1.28 bugs found during the issue #399 investigation, the empirical verification numbers showing hnswlib-node fixes all four, the rejected alternatives (wait for upstream, tune efSearch, brute-force, hybrid threshold), and the user migration guide for stale vectors.db files. Includes a comparison table: - Recall@10 (1k vectors, default params): 10% → 100% - Self-vector found in top-10: NO → YES - Auto-creates files in CWD: YES → NO - Multiple instances per process: NO → YES - Dispose releases resources: NO → YES (immediate JS-side null) - Native filter functions: NO → YES - Runtime efSearch tuning: NO → YES - Resize past initial capacity: NO → YES - Insert latency (1k × 384 dim): ~430ms → ~324ms Cross-references the diagnostic scripts in `scripts/diagnose-issue-399*.mjs` that reproduce each bug and verify hnswlib-node's correctness on the same fixtures. CHANGELOG.md gets a new [Unreleased] section describing the migration, the removed CWD pollution, and the added test infrastructure. The release manager will rename [Unreleased] to the next version at release time. Refs #399. Co-Authored-By: Claude Opus 4.6 (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 6 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
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