Files
proffesor-for-testing__agen…/docs/v3
Profa 49e4b4b95c feat(v3): add V3 QE skills improvements with 5 new ADRs
V3 Skills Improvement Initiative:

Agent Naming Standardization (ADR-037):
- Updated v3-qe-fleet-coordination to use v3-qe-* prefix
- Updated v3-qe-mcp to use v3-qe-* prefix
- Updated v3-qe-integration to use v3-qe-* prefix
- Migrated 32 agent references from V2 to V3 naming

New Enhanced Skills:
- v3-qe-memory-unification: AgentDB + HNSW (150x-12,500x faster)
- v3-qe-mcp-optimization: Connection pooling, O(1) lookup, <100ms targets
- v3-qe-agentic-flow-integration: SONA, Flash Attention (2.49x-7.47x), 9 RL algorithms

New ADRs (ADR-037 to ADR-041):
- ADR-037: V3 QE Agent Naming Standardization
- ADR-038: V3 QE Memory System Unification
- ADR-039: V3 QE MCP Optimization
- ADR-040: V3 QE Agentic-Flow Integration
- ADR-041: V3 QE CLI Enhancement

Documentation:
- Created docs/v3/skills-improvement-plan.md
- Updated v3-adrs.md with all new ADRs (now 41 total)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-11 09:58:29 +00:00
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Agentic QE v3 Documentation

Welcome to Agentic QE v3 - a complete architectural reimagining with Domain-Driven Design, 12 bounded contexts, 47+ specialized agents, and AI-first quality engineering.

What's New in v3

Feature v2 v3
Architecture Flat structure 12 DDD bounded contexts
Agents 22 QE agents 47+ specialized agents
Communication Direct calls Event-driven
Coverage Analysis O(n) O(log n) with HNSW
Learning Per-agent Unified cross-domain
Coordination Manual Hierarchical auto-coordination

Getting Started

Architecture

Domains (12 Bounded Contexts)

Agents

Reference

Key Metrics

Metric Target
Coverage analysis O(log n) - 100x faster
Generated test validity >80%
Defect prediction accuracy >85%
Max concurrent agents 15
Sprint improvement 15%/sprint

Version

  • Current: v3.0.0-alpha
  • Architecture: 12 DDD Bounded Contexts
  • Agents: 47+ (71 definitions)
  • Skills: 21 v3-specific skills
  • Protocols: 6 coordination protocols