[wst_]

It's much better to give a candidate a simplified version of your typical daily task. Give them enough time so they can google and learn if needed. That usually means very simple task that you could solve in hour or two at your leisure at home.

Now, I do get that there's a lot of people who don't like spending time at home for interview tasks but when you think about AND it's not skewed to extreme (say, big task 8 working hours worth) then, in terms of time wasted, it's not such a big difference. Interviewer can then see the code quality, can talk about it with candidate, clarify some missing pieces or pitfalls found, etc.

IMHO most important is not if the candidate knows how to solve some hard or even medium problem when I speak to them and they are stressed enough already. What is important is if they're willing to learn, if they know how to search for stuff they may not know and if they can produce performant enough, but excellent to read, code.

[globular-toast]

It depends what you're looking for. If you want someone who can turn the handle on your typical daily task then, sure, test them on your typical daily task. But if you want someone capable of developing solutions to brand new problems then it's not so easy and testing fundamental computer science theory is important.

[slumpt_]

It’s not. Theory can be referenced. People do not work in a vacuum.

Interviewing in eng is broken, but afaict its a “worst solution save all others” kind of scenario.

But let us not begin to deem these intrinsically important.

Some of the most creative and productive coworkers I’ve had struggled with leetcode style interviews. They’re a bad tool for anyone who isnt a new grad, and even then.

[globular-toast]

When you apply for jobs do you simply look for "engineering" positions? Why am I always applying for software engineering and not electrical engineering? It's all engineering, and theory can be referenced, right? In fact, why doesn't everyone just buy a book and become a top engineer?

The point is not (or shouldn't be) to recite a textbook. The point is you can navigate your way around the textbooks. I've got both The Art of Computer Programming and The Art of Electronics on my shelf. I could find the sections to help sorting a list in seconds. As for the latter, I have no idea why the majority of that book even exists. I can't call myself an electrical engineer, even though all the theory I need is within arm's reach.

I assume you're arguing against the "recite the textbook" approach. I would agree that this is not the way to do things. But equally, "throw the textbooks out" is not the right way either. We need to evaluate a high-level grasp of the literature/theory but don't punish for forgetting minutiae. I might ask a candidate to talk about choice of sorting algorithms. There is, of course, no perfect answer, but what I'll be expecting is general evaluation of algorithms: time/memory tradeoffs, probing for more domain knowledge (e.g. does the data often come in sorted or random), platform constraints etc. I won't even expect a name drop of an actual sorting algorithm as that's not really the point. What they're telling me is they know why Knuth has a whole chapter on sorting. That's the important thing.

[piva00]

This is a false dichotomy. Specific theory that is hard (and useless) to memorise all details can be easily referenced if you are knowledgeable enough in a field, if you know about a red-black tree, the gist of its properties you can easily Google usage cases if you've forgotten, examples of it and algorithms related to it (rebalancing, how it relates to search, etc.), if you had never studied, used or seen one there is no way to reference to these properties easily.

I'd much rather hire and work with someone who has the skill to easily assess a situation and use referencing to rebuild knowledge than someone who memorised how to implement tree balancing, so why do we test for the latter rather than the former?

[_0w8t]

Some companies want to test if a person spent time preparing for the interview. So asking all those quiz questions does make sense even if they are no relevant. At least it shows that the person knows the rules of the game and is willing to invest substantial efforts to follow them even if the rules are arbitrary and irrelevant for day-to-day activities.

[slumpt_]

Okay. So arbitrary preparation - when nearly any other professional interview requires little preparation beyond updating your resume - has merit because... rules of the game?

Stop supporting baseless metrics for assessment just because some old person used them before you showed up. We can and should do better.

[slumpt_]

Being able to refresh one’s memory / reference previously learned approaches is not akin to learning them from scratch. Your opener is preposterous.

[EvilEy3]

> It’s not.

Yes it is.

> Theory can be referenced

How do you know that the person is even able to comprehend theory?

> Interviewing in eng is broken, but afaict its a “worst solution save all others” kind of scenario.

That's your opinion.

> Some of the most creative and productive coworkers I’ve had struggled with leetcode style interviews.

Good for you. But "slumpt_'s most creative and productive coworkers" is not a good metric for hiring.

> They’re a bad tool for anyone who isnt a new grad, and even then.

Again, that's your opinion. I'm not a pro in those interviews, but studying DS and algos opened up and pushed my mind to its limits like nothing else. Your whole thinking process changes when you start working on this, you start thinking about constraints, performance implications, pro and cons of different approaches. It is called Computer SCIENCE for a reason.

[water8]

The person who's going to come up with new idea's isnt spending their time memorizing old ones. They learn to index where to retrieve knowledge when necessary in order to allow them to cover a wider breadth of knowledge. And this will allow themand to pick the best one for the job at hand as opposed to the tool they are an expert in. Sometimes you need a handyman instead of a master plumber because they are better able to see the big picture beyond all the shit.

[slumpt_]

My best coworkers is about as good of a metric as things that “stretched your mind to its limits.”

The point is neither is demonstrated to bear any relationship to jack shit

Interviewing is and has been broken, even with the changes we’ve made over the years.

If you’re holding onto leetcode challenges that make you think hard as representative of engineering prowess we’re never going to have a reasonable conversation.

[nicoburns]

There are plenty of people who have a fantastic knowledge of CS theory and are pretty useless at solving real world problems.

[globular-toast]

Again, it depends what you're looking for. If the real world problem is "we need a fast optimising compiler that runs on our embedded platform" then hiring someone who is great solving problems but knows nothing of compiler theory is going to be very inefficient.

[EvilEy3]

> solving real world problems

Define this first.

[slt2021]

changing color of a button in an Electron app, or moving JSONs back and forth (from backend to frontend)