AI-Assisted, AI-Augmented & Autonomous Testing: Choosing the Right Approach
AI is transforming software testing, but not all AI-powered solutions are created equal. Teams are navigating a spectrum of AI capabilities—from AI-assisted coding and test generation to AI-augmented execution and fully autonomous testing. But which of these technologies are truly production-ready, and where do they still fall short?
Join Lee Vardaro, Technical Solutions Architect, as he breaks down the landscape of AI-assisted, AI-augmented, and autonomous testing.
Key takeaways:
- The differences between AI-assisted, AI-augmented, and autonomous testing—and when to use each
- Which AI testing features fall into AI-assisted, AI-augmented, and autonomous categories
- How different AI-powered testing features contribute to improved test reliability, efficiency, and overall impact on team productivity
- The current limitations of AI in testing and where human oversight remains essential
See how AI can complement your existing testing strategy and discover how to choose the right AI-powered solutions to improve software quality and accelerate release velocity.
AI is transforming software testing, but not all AI-powered solutions are created equal. Teams are navigating a spectrum of AI capabilities—from AI-assisted coding and test generation to AI-augmented execution and fully autonomous testing. But which of these technologies are truly production-ready, and where do they still fall short?
Lee Vardaro, Technical Solutions Architect, breaks down the landscape of AI-assisted, AI-augmented, and autonomous testing in this session. See how AI can complement your existing testing strategy and discover how to choose the right AI-powered solutions to improve software quality and accelerate release velocity.
Key takeaways:
- The differences between AI-assisted, AI-augmented, and autonomous testing—and when to use each
- Which AI testing features fall into AI-assisted, AI-augmented, and autonomous categories
- How different AI-powered testing features contribute to improved test reliability, efficiency, and overall impact on team productivity
- The current limitations of AI in testing and where human oversight remains essential
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Expert Speakers
Technical Solutions Architect, Applitools
Lee Vardaro is skilled in several programming languages and all of the major test automation frameworks, and he has significant experience leveraging automation with leading device labs and commercial solutions. He has worked as a Lead Customer Engineer supporting over 100 QA teams across dozens of Fortune 500 companies. At Applitools, Lee helps new customers evaluate and set up AI end-to-end testing with Applitools Autonomous and Eyes.