by proffesor-for-testing · Agent Tool · ★ 406
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Agentic Quality Engineering Fleet Release Notes Discussions 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
| Stars | 406 |
| Forks | 75 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 72.3865731916147/100 |
| Open Issues | 12 |
| Last Updated | 2026-07-02 |
| Created | 2025-09-11 |
| Platforms | claude-code, node |
| Est. Tokens | ~19k |
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agentic-qe is Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support testing activities for. It is categorized as a Agent Tool with 406 GitHub stars.
agentic-qe is primarily written in TypeScript. It covers topics such as agenticqe, agenticsfoundation, agents.
You can find installation instructions and usage details in the agentic-qe GitHub repository at github.com/proffesor-for-testing/agentic-qe. The project has 406 stars and 75 forks, indicating an active community.
agentic-qe is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agentic-qe on Agent Skills Hub include apify-mcp-server, NagaAgent, npcpy. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.