Webinar

Mastering UI Regression Testing with BrowserStack AI

  • Calendar30th July, 2025
  • Clock9:00 AM PDT
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Panelists
 
Harit Narke
Lead Software Engineer (SDET)
Mastercard
Harit Narke is a Lead Software Engineer (SDET) at Mastercard. He has over a decade of experience in test automation, API reliability, and building scalable quality engineering solutions, majorly within the financial domain. Recently, he has also been leading visual testing initiatives using tools like Percy to improve UI validation and catch visual defects early in the cycle.
Keegan D’souza
Senior Product Manager
Keegan is a Senior Product Manager at BrowserStack with 10 years of experience building software products tailored for engineering teams and technical users. He currently leads AI initiatives across BrowserStack’s Visual Testing suite, driving innovation at the intersection of AI and developer productivity.

About the event

Rapid development cycles often lead to UI regression issues that manual testing overlooks. If your team experiences unexpected layout shifts, styling bugs, or flaky visual tests, this webinar is for you.


Join us for Mastering UI Regression Testing with BrowserStack AI to explore how leading teams leverage AI-powered visual testing to ensure pixel-perfect UIs. This session will demonstrate how BrowserStack’s AI solutions enhance defect detection, minimize noise from irrelevant changes, and integrate seamlessly with existing test stacks to accelerate releases with heightened confidence.

key Takeaways

  • AI-Powered Precision: Discover how BrowserStack AI features, including Intelli Ignore and Layout Testing, significantly reduce false positives and enhance the detection of critical visual regressions.
  • Accelerated Releases: Understand how robust visual testing integration into CI/CD pipelines can lead to faster builds, reduced PR delays, and increased UI quality assurance.
  • Scalable Visual Testing: Learn best practices for implementing and scaling visual testing across diverse teams and complex development workflows.