Diego Pacheco Tech blog

Imagine you are coaching a basketball team. You want to train your team to be good at 2-point shooting from the inside. Now imagine for some weird reason you can't test that, and you need to play a whole 4 quarters basketball game in order to be able to maybe, with a lot of luck, score 2 points. That would suck, right? This actually sounds insane because we all know we can skip the whole game and just train 2 points from inside right? Well, what IF I told you the basketball game is often a people test software, and they cannot train exact scenarios (State Induction), and they actually need to test the whole thing (expensive E2E testing). What if we could write tests in a very different way, so that it would allow us to have massive parallelism, and perhaps multiple people could test the same thing at the same time, and it would work.

From time to time, the industry has a breakthrough, and things change. Sometimes the improvement is incremental, and other times it is very disruptive. Not all change stays forever; actually, new technologies tend to die sooner than old inventions like dishes, forks, knives, spoons, glasses, and many more. I remember web services dominating the corporate universe until rest came and put them to almost extinction. I remember EJB rise and fall like a flash, Netscape, and many others. Those transformations are not new, and they do happen from time to time. Before AI, we had other movements and other breakthroughs like DevOps, Cloud Computing, Agile, Mobile Phones, the Internet, and the Personal computer. AI, perhaps, is the most disruptive force we have seen so far. No other technology or movement has such mystique as AI does. Some call it the Genie; others, the Revolution of the machines (Skynet); others think it's AGI already. One interesting effect we see at this point is that AI b...