| *disclaimer that I'm the founder of Ropes AI, & we're building a new way to evaluate engineering talent* Discourse here always tends to be negative - but I think that AI really opens the door positively here. It allows us to effectively vet talent asynchronously for the first time. Our thesis is that live interviews, while imperfect, work. If an engineer sits down with a candidate and watches them work for an hour (really you probably only need 5 minutes), you have a good read on their technical ability. There's all of these subtle hints that come out during an interview (how does the candidate approach a problem? What's their debugging reflex when something goes wrong? etc) - seeing enough of those signals give you confidence in your hiring decision. Well - LLMs can do that too, meaning we can capture these subtle signals asynchronously for the first time. And that's a big deal - if we can do that, then everyone gets the equivalent of a live interview - it doesn't matter your YOE or where you went to school etc - those that are technically gifted open a slot. And that's what we've built - a test that has the same signal as a live interview. If you're able to do that reliably, it doesn't just provide a new interview method for a new system - it might change how the recruiting process itself is structured. |