This may sound weird, but I think anecdotal evidence might be more informative than the productivity stats for now, until the industry settles on a new equilibrium.
Some engineers are more productive with AI, and some (maybe even most, still) are less productive. People are still putting in the effort to learn how to use it more effectively/productively (there is a learning curve), and some of the less productive are getting laid off.
It sucks, but that’s just how it is now.
Also, AI tooling is still evolving very rapidly. A lot of information and stats are only valid for maybe a few months.
This may sound weird, but I think anecdotal evidence might be more informative than the productivity stats for now, until the industry settles on a new equilibrium.
Some engineers are more productive with AI, and some (maybe even most, still) are less productive. People are still putting in the effort to learn how to use it more effectively/productively (there is a learning curve), and some of the less productive are getting laid off.
It sucks, but that’s just how it is now.
Also, AI tooling is still evolving very rapidly. A lot of information and stats are only valid for maybe a few months.