> The added bonus is all new hires at least know the effects of space/time complexity and how to make space/time trade-offs deeply well. Do they? In my experi

> The added bonus is all new hires at least know the effects of space/time complexity and how to make space/time trade-offs deeply well. Do they? In my experience this was true in the early days of white board interviews where the only people that even thought about this stuff were people deeply interested in algorithms and computation. But in the post-"Cracking the Coding interview" era (including the transition into the full leetcode era) people seem to be able to pass these interviews without really understanding anything in the same way college students can ace calculus while have literally zero intuition about derivatives. I don't mind whiteboard interviews, they're a fun game you can train for and the practice is interesting. But the big tragedy now is that I feel almost nobody understands algorithms anymore since everything has been reduced white board coding drills and everyone believes they have an understanding of something they don't. As a great example of this almost nobody today knows any heuristic optimization techniques (think the old ITA software puzzles), which used to be near and dear to anyone that cared about algorithms. But since you can't test for heuristics they same as you can established algorithmic solutions nobody studies them.