Something I appreciated when going through Anthropic interview process was that I only dealt with humans. They could have been showcasing how even their interviews are done with Claude or something, but no, the whole loop was interacting with real humans, and nothing was on the topic “how do you work with LLMs”. It was about how me, the human, think and approach situations, and how I handle working with others (humans), etc. Which made a lot of sense to me, and I overall appreciated their process (other than it’s very time consuming, requires lots of prep). But it’s interesting to see that AI labs customers feel the need to showcase how much of their processes are now around agentic stuff
I've been considering different ways to measure code understanding and fluency. I'm still using traditional 'easy' problems on a coding pad to probe this, but I'm finding a new generation candidates that don't prepare for this, and may be able to have a full career with just a higher level of code understanding. But they might not ever develop the ride-a-bike with one hand level of fluency unless they grind pointless leetcodes.<p>So I'm increasingly uncertain about what and how to test. My default for now is still to rely on ability to write basic code fluently, but I'm open to changing this perspective.<p>I really want to know how this existing repo AI-assisted live coding test works, with example problems.<p>It seems the standard data structure puzzle type thing won't be feasible if you are using an LLM.<p>Also the latency for these agentic coding/prompts seems like it would make the interview a bit awkward.<p>Anyone been conducting or taking interviews with this kind of thing with thoughts to share?
Writing for investors in the AI Era<p>- We have embraced everything about the AI Era at our company<p>- Arbitrary topic about how that changes something
We gave away the most fun part of being a SWE to the clankers
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