Testing without Ai - How I learned to stop worrying and love QA
Description
Ai has gone from a curiosity to a "must have" technology in less than 4 years and (I grudgingly admit) has gotten significantly better over that time. We better understand it's capabilities and limitations. But there is still a lot of hype and anxiety and misconceptions about Ai.
I will talk about how I went from a technical leadership role developing test automation to a 10x engineer with Ai, to becoming obsolete, redundant, unemployed. I'll talk about the hardships and stress affected me, the cold hard realities of Ai, and why I believe whatever the end state of Ai adoption, we're going to need more testers and better QA, not less.
This is a difficult transition period, but I see cause for optimism.
I'll talk about what Ai can and cannot do well, what Ai should and should not do, how to help non-technical leadership know the difference, and how you can improve the quality of life and the quality of software with or without Ai.
P.S. I'm currently working in a position where Ai is forbidden and QA is very important.