Skip to content

project_overview.md

Latest commit

 

History

History
53 lines (38 loc) · 1.77 KB

project_overview.md

File metadata and controls

53 lines (38 loc) · 1.77 KB

AI QA Engineer MVP - Project Overview

Introduction

The AI QA Engineer is a web-based system designed to streamline the creation, management, and execution of automated browser tests. It leverages an existing open-source browser-use agent and provides a user-friendly interface for test management, allowing QA engineers to write test cases in Gherkin syntax (Given-When-Then format) and organize them into test suites.

Purpose

The purpose of this system is to simplify browser-based testing by providing:

  1. A structured approach to creating and organizing tests using natural language
  2. Direct integration with browser automation
  3. Clear reporting and visualization of test results
  4. Integration with CI/CD pipelines

Key Features

  • Natural Language Test Creation: Write tests in Gherkin syntax
  • Test Suite Organization: Group related tests together
  • Browser Automation: Execute tests using headless browser automation
  • Visual Testing: Capture and compare screenshots
  • Results Reporting: Visualize test results and metrics
  • CI/CD Integration: Integrate with development workflows via webhooks

Target Users

  • QA Engineers
  • Software Developers
  • QA Managers
  • DevOps Engineers

Scope Limitations (MVP)

The Minimum Viable Product will focus on:

  • Manual test creation using Gherkin syntax
  • Core test execution capabilities
  • Basic reporting and visualization
  • Fundamental CI/CD integration

Future versions may include:

  • AI-powered test generation
  • Advanced analytics
  • Expanded test coverage options
  • Enhanced visual regression testing

Technology Stack

  • Frontend: Next.js with Tailwind CSS
  • Backend: FastAPI (Python)
  • Database: MongoDB
  • Browser Automation: Browser-use agent (Python-based)
  • Containerization: Docker