There's an analogous problem in academia, which is that as the cost of compute went down and the ease of statistical programming went up, papers started getting longer and longer. Mostly, they were filled with dozens of "robustness tests" which are basically checking that your results still hold under small alternative assumptions for the model.

But most people now agree that it's gotten out of hand, that these robustness tests don't really add much, and it severely undermines the readability of the papers by being so long