AI Beyond the Hype: Production Testing Outcomes
Meet the Speakers
Siddhant Wadhwani
SDET Manager & Head
Newfold
Empowering engineering teams globally to harness AI responsibly, scaling GenAI testing platforms to deliver business value.
Sudipta Patra
Product Manager
AI Labs
8 years of tech experience building high-impact, user-centric products that drive innovation, adoption, and business growth.
Your test suite should catch bugs, not create endless work.
You spend more time fixing tests than running them.
Every UI change breaks your scripts, turning top engineers into full-time maintenance workers. It is completely exhausting, but self-healing AI cuts build failures by 40%, freeing up your team.
Writing automation code from scratch is a trap.
Staring at a blank screen while toolchain integration drains your energy is brutal. Natural language agents let you write tests in plain English, speeding up test creation by up to 10x.
What you’ll learn
- Write test scripts instantly using plain English commands.
- Deploy self-healing locators to stop constant test breaking.
- Evaluate AI agents safely using Human-in-the-loop controls.
What Our Customers Have to Say
With AI-powered Visual Testing embedded in our quality pipeline, we’ve moved beyond code validation—into protecting the brand experience at scale, with precision and speed.
Zohar Liran
Director, Head of Engineering, Construction Platform, Autodesk
A test could come out true, but the screen does not look anything like you want it to look. That’s where visual testing with Percy comes in.
Ayushi Arora
SDET Lead, Nykaa
We have successfully brought down the regression time from 4 days to 1.5 days, resulting in short turnaround time on the life cycle of apps.
Vijay Selvam
Manager, Test Engineering, Swiggy
We will continue encouraging more teams to integrate automated tests with BrowserStack to increase their test coverage, reduce their feedback loops and deliver high-quality products faster.
Georgiana-Lucia Baragan
Senior Engineering Manager, Booking.com
The most major impact I have noticed is that we are able to deliver fast. We are also able to maintain the robustness and stability of our tests; the tests are more reliable now. And if anything fails, we have the video recording to go back and analyse where, when and why the test failed – is it a genuine issue or flakiness associated with our test case.
Harit Narke
Lead Software Engineer, Mastercard
Don’t miss out !
If you're managing, leading QA teams and looking to get inspired, learn, or connect, you'll want to be a part of our Webinar