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AI-driven testing

Autonomous QA Agent Framework

An AI-driven testing framework that checks a web application the way a full QA team would: functionality, design, speed, security and accessibility.

Overview

Shipping fast usually means testing less, until a broken checkout, a layout bug or a slow page reaches customers. TAKE OVER's QA agent framework is our approach to automated, AI-assisted quality assurance for web applications.

The framework defines how an autonomous agent tests a site across eight areas, using Playwright for real-browser automation and TypeScript for reliability. It applies strict engineering standards: resilient, accessibility-first locators, defined performance budgets, pixel-level visual comparison, and automatic reporting inside the CI pipeline. Every release is checked against the same standard.

What we built

  • Eight testing domains

    • Functional testing
    • Visual / UI regression
    • API & integration testing
    • Authentication & access control
    • Performance
    • Accessibility (axe-core)
    • Security
    • Regression & CI reporting
  • Performance budgets enforced

    LCP < 2.5s, FCP < 1.8s, CLS < 0.1, TTFB < 800ms, TTI < 3.5s, measured through the Chrome DevTools Protocol.

  • Visual regression

    Screenshot comparison with a 2% pixel-difference threshold, with baselines version-controlled in Git.

  • Resilient, accessible locators

    Role, label and test-ID selectors (no brittle XPath), so tests survive UI changes.

  • Rich reporting

    Allure and HTML reports for every run.

  • CI integration

    Runs automatically on GitHub Actions for every change.

  • Agent rules

    A defined operating spec covering folder structure, commands, coding standards and agent behaviour, so the agent tests consistently and predictably.

Built with

  • Playwright
  • TypeScript (strict)
  • axe-core
  • Chrome DevTools Protocol
  • Allure
  • GitHub Actions