[bckr]

Oh, that didn't cross my mind. Yes, that's a serious potential.

Take it a few more steps and then you get to automated analysis tools, system simulations, and NLP systems. This looks essentially like IronMan's Jarvis running heuristics interactively.

"Which edge cases did you cover?"

`I covered 3000 edge cases extrapolated from these bug reports...`

[koliber]

This is a possibility, but it presents a problem. In order to be a senior enough engineer to review PRs really well, you need years of practical experience. Those years start out in entry level jobs where you make lots of mistakes and learn by doing. But these are the very jobs that AI is most likely to eliminate first. So the first AIs will have good PR reviewers that were “classically trained”. Who will review the PRs of AI 50 years from now?

[bckr]

Great observation. Reminds me of this article[] about how surgeons are having a hard time getting experience with the rise of robotics.

It may be that this training will need to get pushed to the education system (whatever that looks like by that point).

Additionally, there can be a mentorship model where the junior performs the first pass of reviews and iterations before presenting to the senior.

Think Star Trek: how does anyone learn to fly a spaceship? Lots of simulation and running smaller parts of the system in close observation... which isn't too different from now.

[] https://news.ycombinator.com/item?id=31989991