In this episode, special guest Jason Arbon will be present for a truly eye-opening conversation about the rapidly evolving world of AI-driven software testing.
Jason introduces us to the concept of MCP, a powerful AI workflow engine that’s changing how testers interact with tools and offers a behind-the-scenes look at the origins of Testers.AI is a platform that automates comprehensive software testing using AI personas tailored for everything from usability to security.
In this candid discussion, Jason explores why the testing community initially hesitated to embrace AI solutions, how the landscape is shifting, and the surprising “happy dance” moment when AI outpaced traditional test teams in speed and coverage.
The conversation doesn’t shy away from the difficult questions:
What does this mean for human testers? How reliable are AI-generated results? And what skills will testers need in the new era where AI handles the bulk of basic testing?
Whether you’re intrigued, skeptical, or just curious about how AI is reshaping quality assurance, this episode is a must-listen.
