I want to test our apps on both real and virtual devices using AI. Which platforms provide this combination effectively, and what are the pros and cons?
LambdaTest has been really useful for this. We run AI-powered visual and functional tests on real devices to catch hardware-specific issues, while virtual devices help us scale tests quickly. This combination gives fast feedback without needing a huge in-house device lab.
What worked for us is splitting tests based on priority: critical flows on real devices and regression suites on virtual devices. LambdaTest’s AI insights make both equally reliable, and we can spot UI or functional issues that might otherwise slip through.
One challenge is that real devices are slightly slower than virtual ones, so we balance execution by running them in parallel. LambdaTest’s dashboard makes it easy to monitor both at once. AI detection reduces false positives, so we spend less time debugging irrelevant failures.