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Please stop the coding challenges

(blackentropy.bearblog.dev)
261 points CrazyEmi | 1 comments | | HN request time: 0s | source
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CharlieDigital ◴[] No.42148313[source]
A small anecdote.

A partner of a friend quit their job earlier this year. They then took 4-6 weeks to prepare for each interview with Big Tech companies (4-6 weeks for Meta, 4-6 weeks for Stripe, etc.). Along the way, they also took random interviews just to practice and build muscle memory. They would grind leetcode several hours a day after researching which questions were likely to be encountered at each Big Tech.

This paid off and they accepted an offer for L6/staff at a MAANG.

Talked to them this week (haven't even started the new role) and they've already forgotten the details of most of what was practiced. They said that the hardest part was studying for the system design portion because they did not have experience with system design...but now made staff eng. at a MAANG. IRL, this individual is a good but not exceptional engineer having worked with them on a small project.

Wild; absolutely wild and I feel like explains a lot of the boom and bust hiring cycles. When I watch some of the system design interview prep videos, it's just a script. You'll go into the call and all you need to do is largely follow the script. It doesn't matter if you've actually designed similar or more complex systems; the point of the system design interview is apparently "do you know the script"?

Watch these two back to back at 2x speed and marvel at how much of this is executed like a script:

- https://www.youtube.com/watch?v=4_qu1F9BXow

- https://www.youtube.com/watch?v=_K-eupuDVEc

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paxys ◴[] No.42148339[source]
Sounds like the system worked exactly as intended then. A seemingly smart person got a good job. What's the problem with this story exactly?
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sanderjd ◴[] No.42149358[source]
It took forever. Literally tens of thousands of dollars of opportunity cost, with a lot of risk of having nothing to show for it.

The bummer is that you're right, it actually is worth even this much investment, because these companies do pay extremely well. But it's still horrendously inefficient, because the companies are getting a very small improvement to their signal to noise ratio, at this great cost (which, notably, they don't bear).

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lupire ◴[] No.42149380[source]
Yeah that's how education works.

Someone working at billion dollar VC funded outfit should understand the cause of making smart but speculative bets.

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1. sanderjd ◴[] No.42149605[source]
Yes, and they should also be able to understand when the system that creates those smart but speculative bets is creating deadweight loss, and identify that as a problem.

BTW, I have personally made this bet in the past (though I didn't put 3 to 4 months into it...) and it was indeed an excellent bet to make. But benefitting from a system does not preclude identifying problems with it.