My experience: we're hiring for an AI engineer position and for a frontend developer position (and yes, we posted our positions here on Hackernews).

We have a stream of cookie-cutter candidates. As if they are clones of each other, it's uncanny. They typically have a BS degree in some foreign university, then a CS Masters' in the US, experience with robotics, then several years of experience in large companies.

And they completely fold during in-person coding tasks. Like, not being able to explain the difference between DFS and BFS (depth/breadth-first search). Or being able to write a simple custom metric and train a network in Pytorch.

And a similar story for the frontend developer position.

We now literally have to add more filters to not get inundated by underqualified candidates. These filters will make it harder for beginners to even _get_ to the resume review stage.

No conclusions from me, but something's been broken in the CS jobs market for a while.

With the size of context windows now it'd be economical to dump all the resumes into an LLM and query the pool this way.