As a software engineer who also hires other software engineers, I’m curious about the disconnect in our experiences.
I do systems programming. Before AI feature development roughly went like, design, implement, test, review with some back edges and a lot of time spent in test and review.
AI has made the implementation part much faster, at the cost of even more time spent testing and reviewing, though still an improvement overall.
We do not see the weeks to days improvement though. The bottleneck before was testing and reviewing, and they are even bigger bottlenecks now.
What kind of work do you do, and what kind of workflow were you using before and after AI to benefit so much?
Not the OP, but it might be that AI isn't as good at systems programming as it is at other domains, or it might be that you're using it differently than I am. I don't know which one it is (maybe AI just isn't good at writing the language you work with).
For things like web frontents/backends, though, it works beautifully. I ship things in days that would take me weeks to write by hand, and I'm very fast at writing things by hand. The AI also ships many fewer bugs than our average senior programmer, though maybe not fewer bugs than our staff programmers.