It may help you build a real product feature quicker, but AI is not necessarily doing the research and product design which is probably the bottleneck for seeing real impact.
Maybe overall complexity creeping up rolls over any small gains, or devs are becoming more lazy and just copy paste llms output without a serious look at it?
My company didnt even adapt or allow use of llms in any way for anything so far (private client data security is more important than any productivity gains, which anyway seems questionable when looking around.. and serious data breaches can end up with fines in hundreds of millions ballpark easily).
Having worked on software infrastructure, it’s a thankless job. You’re most heroic work has little visibility and the result is that nothing catastrophic happened.
So maybe products will have better reliability and fewer bugs? And we all know there’s crappy software that makes tons of money, so there isn’t necessarily a strong correlation.