Agentic Quality Engineering Fleet

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AI-powered quality engineering agents that generate tests, find coverage gaps, detect flaky tests, and learn your codebase patterns — across 11 coding agent platforms.

What AQE Does For You

• Generates comprehensive tests automatically — unit, integration, property-based, and BDD scenarios for your codebase with framework-specific output (Jest, Vitest, Playwright, Cypress, pytest, JUnit, Go, Rust, Swift, Flutter, and more)
• Finds coverage gaps and prioritizes what to test — risk-weighted analysis identifies the most impactful untested code paths
• Detects and fixes flaky tests — ML-powered detection with root cause analysis and stabilization recommendations
• Learns your codebase patterns over time — remembered patterns are reused across sessions and projects, improving with every interaction
• Coordinates 60 specialized QE agents — from test generation to security scanning to chaos engineering, orchestrated by a central coordinator
• Reduces AI costs with intelligent routing — automatically routes tasks to the right model tier (fast/cheap for simple tasks, powerful for complex ones)
• Works with your existing tools — integrates with 11 coding agent platforms and your existing CI/CD pipeline

Quick Start

# Install
npm install -g agentic-qe

# Initialize your project (auto-detects tech stack, configures MCP)
cd your-project && aqe init --auto

# That's it — MCP tools are available immediately in Claude Code
# For other clients: aqe-mcp

After init, your coding agent can use AQE tools directly. For example in Claude Code:

"Generate tests for src/services/UserService.ts with 90% coverage target"
"Find coverage gaps in src/ and prioritize by risk"
"Run security scan on the authentication module"
"Analyze why tests in auth/ are flaky and suggest fixes"

Platform Support

AQE works with 11 coding agent platforms through a single MCP server: