QualGent

Use Case 1: Automating Mobile App Regression Testing

Problem: QA teams struggle to manually execute regression tests across multiple Android and iOS devices and languages for every code commit, causing release bottlenecks.
Solution: QualGent executes test suites autonomously on real devices and emulators, scaling to thousands of virtual agents to run parallel tests.
Example: A mobile development team triggers a full test suite on every pull request, verifying UI, deep links, and push notifications across 10+ device types in minutes.

Use Case 2: Generating Test Cases from Project Documentation

Problem: Writing manual test plans from product requirements documents (PRDs) or design files is time-consuming and prone to missing edge cases.
Solution: The AI agent analyzes linked PRDs, Figma designs, or repository code to automatically map out user flows and generate comprehensive test plans.
Example: A product manager uploads a Figma design for a new checkout flow, and QualGent generates step-by-step test cases covering payments, OTP validation, and edge-case errors.

Use Case 3: Testing Dynamic Frameworks Without Stable Element IDs

Problem: Automation frameworks like Appium or Selenium often break when testing Flutter or React Native apps that lack stable element IDs or experience frequent UI changes.
Solution: QualGent uses a visual-first approach and autonomous learning to navigate the interface without relying on hardcoded element IDs.
Example: A React Native team deploys a major UI redesign; the AI agent adapts to the new visual layout automatically without requiring developers to rewrite the test scripts.