This is generally what we do and what raised our suspicions in the first place - they both could "walk us through" their code, but had trouble explaining why they did certain things, how they could improve things, etc.
We thought that the approach you've outlined would generally be good enough, and has led us to catch instances where people are leaning heavily on LLMs, but our issue now is that everyone appears to be using these things. Admittedly, our sample size here is low (n=3). But it's still frustrating nonetheless.
We thought that the approach you've outlined would generally be good enough, and has led us to catch instances where people are leaning heavily on LLMs, but our issue now is that everyone appears to be using these things. Admittedly, our sample size here is low (n=3). But it's still frustrating nonetheless.