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I work at a FAANG, I can't speak for all companies divisions but I can pretty comfortably say that I have seen next to no evidence that AI tooling has become so
by 3vidence 3y ago
I work at a FAANG, I can't speak for all companies divisions but I can pretty comfortably say that I have seen next to no evidence that AI tooling has become so productive that we "need" less engineers.
Actually it's somehow kind of the inverse, any AI related code has been subpar which has been putting a lot of stress on the core systems in terms of reviews and performance.
From my personal perspective, things overall seemed more productive pre ChatGPT for FAANG level companies.
- Ancalagon 3y agoOK, thank you for saying this. Whats interesting is I think there might be a disconnect between AI capabilities and tech executives. I'm guessing executives believe AI will catch up to be good enough to multiply engineers productivity say 120% within the next few years - hence the 20% layoffs everywhere. Maybe this will be the case. But for me on the ground its producing a lot more work. I now have to code review everything starting at a very high level working my way down and there's just so much MORE code now.
- gitgud 3y ago> Actually it's somehow kind of the inverse, any AI related code has been subpar which has been putting a lot of stress on the core systems in terms of reviews and performance. My experience is that AI tooling just means engineers can do more, which means product managers want more… resulting in more work with the same engineering team…