The bar has also been raised significantly. I had an interview recently where I solved the algorithm question very quickly, but didn't refactor/clean up my code perfectly and was rejected.
The bar has also been raised significantly. I had an interview recently where I solved the algorithm question very quickly, but didn't refactor/clean up my code perfectly and was rejected.
So with that in mind I'll see you all at ReInvent
While it's fine when doing the job the purpose of the interview is to gauge your ability to understand and solve problems, while AI can help you with that you understanding how to do it yourself signals that you'll be able to solve other more complex wider-spanning problems.
Just like with a calculator - it's important for candidates to know _why_ something works and be able to demonstrate that as much as them knowing the solution.
With that said, none of the interviews I've had over the last couple months included questions that could reasonably be done with an LLM. The context is usually wrong, technical challenges were done live on a video call and it would be horribly obvious if a candidate was just prompting an LLM for an answer.