Agentic Quality Engineering Fleet

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V3 brings Domain-Driven Design architecture, 12 bounded contexts, 51 specialized QE agents, TinyDancer intelligent model routing, ReasoningBank learning with Dream cycles, HNSW vector search, mathematical Coherence verification (v3.3.0), and deep integration with Claude Flow and Agentic Flow.

⚡ Quick Start

Install & Initialize

# Install globally
npm install -g agentic-qe

# Initialize your project
cd your-project
aqe init --wizard

# Or with auto-configuration
aqe init --auto

# Add MCP server to Claude Code (pick one)
# Option 1: Global install (recommended after npm install -g)
claude mcp add aqe -- aqe-mcp

# Option 2: Via npx (no global install needed)
claude mcp add aqe -- npx agentic-qe mcp

# Verify connection
claude mcp list

Use from Claude Code CLI

Ask Claude to use QE agents directly from your terminal:

# Generate comprehensive tests with learning
claude "Use qe-test-architect to create tests for src/services/user-service.ts with 95% coverage"

# Run full quality pipeline with Queen coordination
claude "Use qe-queen-coordinator to orchestrate: test generation, coverage analysis, security scan, and quality gate"

# Detect flaky tests with root cause analysis
claude "Use qe-flaky-hunter to analyze the last 100 test runs and stabilize flaky tests"

What V3 provides:

✅ 12 DDD Bounded Contexts: Organized by business domain (test-generation, coverage-analysis, security-compliance, etc.)
✅ 51 QE Agents: Including Queen Coordinator for hierarchical orchestration (44 main + 7 TDD subagents)
✅ TinyDancer Model Routing: 3-tier intelligent routing (Haiku/Sonnet/Opus) for cost optimization
✅ ReasoningBank Learning: HNSW-indexed pattern storage with experience replay
✅ O(log n) Coverage Analysis: Sublinear algorithms for efficient gap detection
✅ Claude Flow Integration: Deep integration with MCP tools and swarm orchestration
✅ Memory Coordination: Cross-agent communication via aqe/v3/* namespaces
✅ Coherence Verification (v3.3.0): Mathematical proof of belief consistency using WASM engines
✅ V2 Backward Compatibility: All V2 agents map to V3 equivalents
✅ 61 QE Skills: Domain-specific skills for testing, security, accessibility, and more

🎯 Why AQE?

Problem	AQE Solution
Writing comprehensive tests is tedious and time-consuming	AI agents generate tests automatically with pattern reuse across projects
Test suites become slow and expensive at scale	Sublinear O(log n) algorithms for coverage analysis and intelligent test selection
Flaky tests waste developer time debugging false failures	ML-powered detection with root cause analysis and fix recommendations
AI testing tools are expensive	TinyDancer 3-tier model routing reduces costs by matching task complexity to appropriate model
No memory between test runs—every analysis starts from scratch	ReasoningBank remembers patterns, strategies, and what works for your codebase
Agents waste tokens reading irrelevant code	Code Intelligence provides token reduction with semantic search and knowledge graphs
Quality engineering requires complex coordination	Queen Coordinator orchestrates 51 agents across 12 domains with consensus and MinCut topology
Tools don't understand your testing frameworks	Works with Jest, Cypress, Playwright, Vitest, Mocha, Jasmine, AVA

✨ V3 Features

🏗️ Domain-Driven Design Architecture

V3 is built on 12 DDD Bounded Contexts, each with dedicated agents and clear responsibilities:

Domain	Purpose	Key Agents
test-generation	AI-powered test creation	qe-test-architect, qe-tdd-s

...

proffesor-for-testing/agentic-qe

README

Agentic Quality Engineering Fleet

⚡ Quick Start

Install & Initialize

Use from Claude Code CLI

🎯 Why AQE?

✨ V3 Features

🏗️ Domain-Driven Design Architecture

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