Thoughtful post as always, but I don’t agree with the premise that “algorithms questions are important to big companies because *fancy algorithms* are important there”.
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It’s pretty easy to come up with “not bad” algorithms questions, which lets question banks be large, which means memorization matters less.
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Thanks for this post! I've seen a lot of good engineers I've referred (because I previously worked with them for years) get rejected from positions at places I've worked because they couldn't pass a needlessly-hard interview.
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The problem with hiring is more general than tech, and is tied to the social stigma with firings and having a proper job history. Over a 6-month stretch, most non-prestigious tech companies could hire better by randomly choosing applicants, and firing bad ones after 6 months.
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Pagination queries are a common source of O(n^2) in production - https://www.facebook.com/notes/mysql-at-facebook/limit-a-b-is-onn/206034210932 … Was there new GC pressure from your array resize fix? Growing the allocation by 1.5X or 2X means more allocated but unused memory.
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Definitely could be a problem in some cases, but not in this case. Technically, there was probably an increase in old gen usage (this was on the JVM, using a generational collector), but it must've been trivial, small enough that it was unobservable in aggregate metrics.
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Often true in engineering tech interviews: the preparation and ability to interview well are frequently uncorrelated with the ability to deliver good work. One workaround is to become a capable freelancer with referrals, social status/network and a good GitHub/GitLab profile.pic.twitter.com/uOPkKCpEr5
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This is such a blindingly true statement, it boggles the mind that a typical gotcha tech interview is so decisive
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Thanks for the post dan! I’m curious is there a kind of interview that would resonate with you personally? What would the perfect interview look like? One where you felt you could demonstrate your skills and also get a sense for what the company has to offer.
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I’d also be really curious to learn more about what made that team you worked on the most productive - I hope you write more about that someday
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