I actually have the feeling it’s not as hardcore as it used to be on average. E.g. OpenAI doesn’t have a straight up LC interview even though they probably are the most sought after company. Google and MS and others still do it, but it feel like it has less weight in the final feedback than it did before. Most en-vogue startup have also ditched it for real world coding excercices.
Probably due to the fact that LC has been thoroughly gamed and is even less a useful signal than it was before.
Of course some still do, like Anthropic were you have to have a perfect score to 4 leetcode questions, automatically judged with no human contact, the worst kind of interview.
>Of course some still do, like Anthropic were you have to have a perfect score to 4 leetcode questions, automatically judged with no human contact, the worst kind of interview.
Should be illegal honestly.
I can't imagine this kind of entitlement. If you don't want to work for them, don't study leetcode. If you want to work for them (and get paid tons of money), study leetcode. This isn't a difficult aristotelian ethics/morals question.
That wouldn't be hard to do. Given the disparate impact standard, everything is biased against a protected class.
Thankfully not everything from SV culture gets adoption.
Ten years ago it was more based on Cracking the Coding Interview.
So i'd guess what you're referring to is even older than that.
Apart from those companies where social capital counts for more ...
Based on my own experiences, that was true 25 years ago. 20 years ago, coding puzzles were now a standard part of interviewing, but it was pretty lightweight. 5 years ago (covid!) everything was leet-code to get to the interview stage.
The faangs jump and then the rest of the industry does some dogshit imitation of their process
It was humbling having to explain to fellow adult humans that when your test question is based on an algorithm solving a real business problem that we work on every day, a random person is not going to implement a solution in one hour as well as we can.
I’ve seen how the faangs interview process accounts for those types of bias and mental blindness and are actually effective, but their solutions require time and/or money so everywhere I’ve been implements the first 80% that’s cheap and then skips on the rest that makes it work
Any way to reach out? :)
I think it boils down to companies not wanting to burn money and time on training, and trying to come up with all sorts of optimized (but ultimately contrived) interview processes. Now both parties are screwed.
>It was humbling having to explain to fellow adult humans that when your test question is based on an algorithm solving a real business problem that we work on every day, a random person is not going to implement a solution in one hour as well as we can.
Tell me about it! Who were you explaining this to?