This talk is one where I am learning the core message of the talk in clarity by delivering more of it. Dropping the things I layered for "clarity" that turned distraction, now it works as intended.
Whose Test Is It Anyway discusses - with an example of testing when large language model ("AI") is your programmer coming to three conclusions:
- We no longer care whose test it is because AI makes us all testers
- We do our best work when we get people from diverse backgrounds together and source and combine their ideas like I did for having an example for properly testing roman numerals
- Improv in exploratory testing is a great frame for putting together testing, ensembling and programming. Contemporary exploratory testing is not "non-automated whole product exploratory-focused" as some people framed exploratory testing of the past but very much "automated, all levels building up to whole products exploratory-focused" testing.