| The problem with work-sample testing (which is commonly administered as a take-home problem for the developer candidate to solve) is two-fold: a) it discriminates against people who cannot spare 4+ hours of focused time on evenings/weekends to work on the problem. People with multiple jobs, single parents, etc. b) in the age of AI it is no longer a reliable measure of someone's skill, for obvious reasons Unlike Yegge, I haven't worked at FAANG, but the companies I have worked at all followed the same hiring practices and suffered from the same problems as he describes. Provisional employment (or, if that's not possible, then well-paid internships) solve all of those issues. The candidate gets 3-6 months of stable employment, you as the employer get a large number of work-sample tests, and you can see how they use AI and how much. |
Provisional employment doesn’t work for most cases, though. It might attract people who have no job and it might attract people who have so much saved that they are okay with potentially being let go after 90 days. But I imagine the vast majority of the potential employment pool are not willing to quit their current job to accept a “maybe” job from another company.