Very true, but this also makes me think what kind of ridiculous obstacle course future hiring process would look like.
In a land where anyone with a pulse can prompt AI to make an app for them - how would future hiring managers and team leads figure out who will drag codebase down with tech debt and who wouldn't?
The tech debt concerns are much ado about nothing. Use the next model to clean it up, big deal. Code is cheap.
The people that sat around handwringing about tech debt and trying to read every line of LLM code will really struggle to find a job. The profession fundamentally changed, and these people did not catch up.
I think there has to be a better rubric by which person would be evaluated, not just amount of tokens they managed to waste.
I'm inclined to agree - the latest models seem to have crossed a threshold where trying to review by hand becomes akin to a manager insisting on reviewing PRs.