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Posted by yusufaytas 11/1/2025

AI Broke Interviews(yusufaytas.com)
88 points | 126 commentspage 2
dyauspitr 11/1/2025|
I interviewed a guy a couple of months ago that had perfect responses to every tech question I threw at him. He even did really well on the white boarding session. The only thing was he would wait for 10-20 seconds to respond to everything. Not long enough to get called out but just long enough to notice. He aced everything. He’s a horrible employee, a senior that doesn’t seem to know anything. I almost suggested he start using his interview LLM when regular folks were asking him questions.
harpiaharpyja 11/1/2025||
It's funny how this article seems to repeat itself halfway through, like it was written by AI
happyopossum 11/2/2025|
Keep reading, the author repeats themselves 3-4 times in a loop. I eventually had to give up reading the same thesis explained over and over again.
shinycode 11/1/2025||
Maybe it’s time to ask deeper questions, ask how to reduce complexity while preserving meaning. Doing real pair programming with shared remote code and simulate as much as possible a real day-to-day environment. Not all companies search for the same kind of developers. Some don’t really care about the person as long as the tech skills are there. Some don’t look for the brightest in favor of a better cultural match with the team. Genuine remote interviews aren’t easy but it also depends on the interviewer’s skills. We’ve been touted for year that AI will replace developers, would Elon replace the engineers working on the software of it’s rockets with AI ? It depends what’s at stake. I bet their interviews are quite specific and researched thoroughly. We can find better ways to create a real connexion in the interviews and still make sure the tech skills are sound without leet code. We also need developers who master the use of AI and have real skills of thinking before and designing and deep review code skills
kace91 11/1/2025||
I don’t understand how offline interviewing is needed to catch ai use, not counting take homes.

Surely just asking the candidate to lean a bit back on the web interview and then having a regular talk without him reaching for the keyboard is enough? I guess they can have some in between layer hearing the conversation and posting tips but even then it would be obvious someone’s reading from a sheet.

nradov 11/2/2025||
That type of cat-and-mouse game is ultimately pointless. It's fairly easy to build an ambient AI assistant that will listen in to the conversation and automatically display answers to interview questions without the candidate touching a keyboard. If the interviewer wants to get any reliable signal then they'll have to ask questions that an AI can't answer effectively.
Gigachad 11/2/2025||
There are interview cheating tools which listen in on the call and show a layer over the screen with answers which doesn’t show on screen shares.

So you’d only be going off how they speak which could be filtering out people who are just a bit awkward.

cooloo 11/2/2025||
So many words just to say interview process is broken. It always been that way , anyone really think that someone that prepared and solve few leet code question can plan complete distributed system?

The reality is that no correlation was found between interview success and success at work especially for SW engineers, AI toola didn't change it not remote interviews.

storus 11/2/2025||
Universities and education overall also had their foundation detonated by AI. Some Stanford classes now do 15 minute tricky exams to reduce the chance of cheating with AI (it takes some time to type it so the point is to make the exam so short that one can't physically cheat well). I am not sure what the solution for this mess is going to be.
nradov 11/2/2025|
Several possible solutions:

1. Strict honor code that is actually enforced with zero tolerance.

2. Exams done in person with screening for electronic devices.

3. Recognize that generative AI is going to be ambient and ubiquitous, and rework course content from scratch to focus on the aspects that only humans still do well.

storus 11/2/2025||
Only 3) could scale but then those exam takers not using AI would fail unless they are geniuses in many areas. 1) and 2) can't be done when you have 50-70% of your course consisting of online students (Stanford mixes on-campus with CGOE external students who take the exams off-campus), who are important for your revenue. Proctoring won't work either as one could have two computers, one for the exam, one for the cheating (done for interviews all the time now).
nradov 11/2/2025||
Well realistically exam takers not using AI will fail in any sort of real world technical / professional / managerial occupation anyway. They might as well get used to it. Not being able to use LLMs effectively today is like the equivalent of not knowing how to use Windows 20 years ago.
CableNinja 11/2/2025|||
Call me when AI can manage to write a regex that i would write, to parse a complex string, rather than some ridiculous mishmashing of nonascii chars that you need to talk to an ancient shaman to decrypt; or when AI can actually recognize contextual hints enough to know what the fuck im talking about, and not produce a writeup of things no longer relevant; or when it stops hallucinating and giving made up answers just to give an answer (which is far worse than saying i dont know, from a human, or ai)

AI has some uses, but the list of things it cant do is longer than the list of things it can.

cudgy 11/2/2025|||
Has AI advanced that far? How do managers use AI in their daily work? To generate emails? Most managers spend all day in meetings. How do they utilize AI for that? Inaccurately Compile the minutes of the meeting and summarize them?
highfrequency 11/1/2025||
If AI can solve all of your interview questions trivially, maybe you should figure out how to use AI to do the job itself.
Gigachad 11/2/2025||
The questions were just a proxy for the knowledge you needed. If you could answer the questions you must have learned enough to be able to do the work. We invented a way to answer the test questions without being able to do the work.
onionisafruit 11/2/2025||
To continue the point. If the knowledge you need is easily obtained from an LLM then knowledge isn’t really necessary for the job. Stop selecting for what the candidate knows and start selecting for something more relevant to the job.
Gigachad 11/2/2025||
An accurate test would just be handing them a real piece of work to complete. Which would take ages and people would absolutely hate it. The interview questions are significantly faster, but easy to cheat on in online interviews.

The better option is to just ask the questions in person to prevent cheating.

This isn’t a new problem either. There is a reason certifications and universities don’t allow cheating in tests either. Because being able to copy paste an answer doesn’t demonstrate that you learned anything.

avidphantasm 11/2/2025||
AI is breaking more than interviews. I recently overheard someone who is studying to be a psychiatric nurse practitioner (they are already a RN) via an online program say “ChatGPT is my new best friend.” We are doomed.
Esophagus4 11/2/2025||
I agree with the article. Sadly, I have seen candidates cheating, and have hired those I suspected were cheating in hindsight.

It is a horrific drag on the team to have the wrong engineer in a seat.

If we can’t sus out who is cheating and who is legitimate, then the only answer is that we as a field have to move towards “hire fast, fire fast.”

Right now, we generally fire slow. But we can’t have the wrong engineer in a seat for six months while you go though a PIP and performance cycle waiting for a yearly layoff. Management and HR need to get comfortable with firing people in 3 weeks as opposed to 6 months. You need more frequent one-off decisions based on an individual’s contributions and potential.

If you can’t fix the interview process, you need more PIP culture.

harshalizee 11/2/2025||
Unless your firm is offering a solid paycheck and a 6 month severance package a la Netflix, no rational candidate is going to bet on a place that'll boot you in 3 weeks because they felt "the vibes are off". You'll be self selecting for only the most desperate candidates in the market trying to get a job.
Esophagus4 11/2/2025||
Not once did I say that happen because the vibes are off. You’re seeing what you want to in my comment.

If you’re really off the pace and we made a bad hire, moving slowly hurts everyone.

And moving quickly lets us hire the candidates who really deserve the position, not those who game the process.

Balgair 11/2/2025||
3 weeks!? Man, I'm still figuring out where a decent sandwich joint is by my work at 3 weeks. There is no way that I could be up to speed on a code base in that short of a time.

Look, I know what you're getting at, and I know that you can feel that a hire isn't good in less than a month. But buddy, you got to give them at least a few months here.

Esophagus4 11/2/2025||
A few months with the wrong hire is detrimental to the team.

Your stars will get annoyed that you have someone not pulling their weight, your team will have to clean up the mess of bugs and incomplete stories, and the mentors will spend more of their time supporting an engineer that will not come up to productivity no matter how hard they try.

If it’s really a bad hire, you can’t be afraid to move quickly. If it’s not going to work out, I’d rather it not work out in a month than not work out in six months.

A mentor of mine once said, “You will never regret firing somebody, but you will regret not firing somebody.”

Part of being a manager means having a bias for action and being able to back your decisions once you’ve made them.

Admittedly, you’re not just shooting from the hip and firing at random. But by the time you get to the point where you have to thinking about getting rid of an engineer, it’s probably past the point of no return and you need to move.

kyleee 11/2/2025|||
“You will never regret firing somebody, but you will regret not firing somebody.”

Dumb over generalized piece of advice.

Esophagus4 11/3/2025||
Man, I wish I could downvote this knee-jerk, reactionary comment.

I’m guessing you’re neither a successful founder nor executive from your comment?

If your comment is really good faith, why don’t we try this exercise: you tell me why it wouldn’t be “dumb overgeneralized advice” to make sure you understand it fully.

thunderfork 11/2/2025|||
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ForHackernews 11/1/2025|
I do in-person whiteboard interviews.
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