NihadMemmedli

NihadMemmedli / quorvex_ai

Public

Convert plain English test specs into self-healing Playwright tests using AI. Browser exploration, auto-fix, load/security/API/LLM testing. Open source.

nihadmemmedli.github.ioquorvex_ai ai ai-testing anthropic claude e2e-testing
13
4
100% credibility
Found Mar 02, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Quorvex AI is an open-source platform that transforms plain English test descriptions into self-healing Playwright tests with a web dashboard for management.

How It Works

1
🔍 Discover Quorvex AI

You find a helpful tool that turns everyday words into working tests for your website.

2
🚀 Set it up easily

Follow simple steps to get everything running on your computer with a single command.

3
🔌 Connect a smart helper

Link it to an AI service so it can understand and create tests from your descriptions.

4
📝 Describe your test

Write what you want to test in plain English, like steps for logging in or shopping.

5
✨ Magic happens

The AI reads your words, explores your site, writes perfect test code, and runs it automatically.

6
🛠️ Tests fix themselves

If something changes on your site, the tests notice and repair themselves without your help.

🎉 Reliable tests ready

You now have working tests that stay up-to-date, saving you hours of maintenance.

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Star Growth

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AI-Generated Review

What is quorvex_ai?

Quorvex AI lets you write test specs in plain English markdown, then auto-generates validated Playwright TypeScript tests that run and self-heal on UI changes. It explores apps in browsers, handles load testing with K6, security scans via ZAP/Nuclei, API suites from OpenAPI, database checks, and even LLM evals—all self-hosted via Docker or Kubernetes. Built in Python with FastAPI backend and Next.js dashboard, it outputs ready-to-run code plus CI pipelines to convert GitHub Actions to GitLab CI.

Why is it gaining traction?

Unlike paid no-code tools like TestRigor or Mabl, it's fully open source (MIT) and self-hosted, with self-healing that auto-fixes broken selectors without manual tweaks. Devs love skipping Playwright boilerplate while getting extras like visual regression, requirements traceability, and PRD-to-spec conversion—plus CLI for quick plain text to test conversion and dashboard for batch runs. Strong Docker Compose/Makefile setup makes local/prod spins painless.

Who should use this?

QA engineers maintaining flaky E2E suites on changing UIs, full-stack devs building test batteries beyond UI (load/security/API), and SREs needing self-service load testing without vendor lock-in. Ideal for teams converting plain text specs or GitHub READMEs to automated tests, or generating GitLab CI from GitHub workflows.

Verdict

Early alpha (13 stars, 1.0% credibility) with thin adoption, but polished docs, full Docker/K8s manifests, and Makefile make it dead simple to try—spin up and convert a plain text spec to passing tests in minutes. Experiment if self-healing sounds good; skip for mission-critical until more battle-tested.

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