Mobile test automation is still one of the biggest bottlenecks in modern software delivery. In this interview, QApilot's Co-founder Aditya Challa explains why most AI testing approaches fail and how to fix them.

Learn more about QApilot: https://links.testguild.com/flutterqa

If your mobile tests are flaky, slow, or hard to trust, you're not alone.

Most teams are trying to apply LLM-based AI to problems that actually require deterministic reliability—and that's where things break down.

In this video, you'll learn:

Why mobile test automation breaks at scale
The real issue with "99% accurate" AI in testing
LLMs vs deterministic AI (and why it matters for mobile apps)
How flaky tests destroy confidence in your pipeline
How QApilot approaches mobile testing differently
What reliable, scalable mobile automation should look like

What this means for you:

Fewer false positives, faster releases, and mobile tests you can actually trust.

00:00 Why Mobile Test Automation Is Still Broken 01:10 QApilot Overview 01:51 Why Mobile Testing Tools Fail 03:13 Why Appium Isn't Enough 05:09 QApilot's Approach to Mobile Testing 07:10 Scaling Mobile Testing Across Devices 08:02 Autonomous Testing + Human in the Loop 10:55 How QApilot Works (Architecture + Agents) 13:45 Real Example: Mobile App Crawling in Action 16:31 Finding Bugs Automatically (Performance + Accessibility) 18:52 Device Farms & Real Device Testing 21:50 Future of Mobile Testing (SRE + AI + Quality Layer) 27:06 Real Customer Results & Case Study 31:02 Why QApilot Focuses Only on Mobile 34:04 Where QApilot Fits in CI/CD 36:00 How to Try QApilot + Final Advice