The GPT-ification of Mobile App Testing
summary
Sofi demonstrates a platform that provisions physical devices in under 10 seconds, records no-code UI tests, enforces per-step performance thresholds (example: alerts if a step exceeds one second), analyzes CPU/memory/visual regressions and compares against baselines, and can generate Appium code from recorded flows. Tests run in parallel across hundreds of devices and GPT-based models summarize failures and suggest fixes. The demo shows these pieces integrated and working end-to-end.
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chapters (12)
- 0:00Introduction to GPT in testing
- 1:08Challenges in traditional testing
- 4:19Introducing no-code automation with GPT
- 5:23Live demo setup and device access
- 7:10Creating automation without coding
- 8:58Performance and visual testing
- 10:42Analyzing test results
- 11:26GPT-powered insights and fixes
- 12:52Generating Appium code automatically
- 13:34Converting specs to test cases
- 15:21Executing tests across devices
- 16:27Future of QA with GPT
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