Comment by mplanchard

And coding interviews often bias against people who can’t spend days of time grinding on hackerrank or whatever to prepare for the interview. Provisional employment biases against people who currently have jobs.

There is no perfect interview process, so it’s important companies think about what they’re biasing for or against. A work sample gives a more realistic picture of someone’s ability than a coding interview, but less than provisional employment. But, it’s much easier for people to commit to finding the time for it than to spending 3-6 months in limbo.

Regarding AI and work samples, it seems like this problem is largely solved by having an in-depth conversation with the candidate about the assignment, no? They should be able to explain why they made the decisions they did, pros and cons of their approach, etc. If they can do that, and their solution is good, does it matter if it was LLM-assisted?