Everyone is talking about how fast AI writes code. But what happens afterward?
A report came out, State of AI Generated Code 2026that asked 300 testing and quality professionals how they're doing with AI-generated code. And what they say isn't what you hear in productivity talks.
In the video I go over what caught my attention the most: what happened with bugs, what happened with the QA workload, a piece of data about trust and regressions that changes how you think about testing scope.
And tell me: does the same thing happen on your team, or is your experience different? I'll be reading your comments, and I'm also leaving you the link to the report.
If you're interested in AI, I invite you to the course Introducción a las pruebas de sistemas de IA.