I'm a big fan of this explanation/rant from Andrew Murphy.

Taken as a whole, there are many bottlenecks in a corporate software development process. The "load-bearing" calendar is a great example!

Speeding up code creation just increases pressure on the bottleneck, which decreases throughput.

https://andrewmurphy.io/blog/if-you-thought-the-speed-of-writing-code-was-your-problem-you-have-bigger-problems

If you thought the speed of writing code was your problem - you have bigger problems | Debugging Leadership

AI coding tools are optimising the wrong thing and nobody wants to hear it. Writing code was already fast. The bottleneck is everything else: unclear requirements, review queues, terrified deploy cultures, and an org chart that needs six meetings to decide what colour the button should be.

Debugging Leadership

So why are we still trying to optimize code creation?

For decades, people with power - executives and product people - have been shifting the blame for strategy failures and poor market insight onto development "productivity."

This AI moment should be incredibly clarifying. Like, it should be the reductio ad absurdum of a productivity-centric approach.

@elizayer management blame productivity for strategy failure because their approach to strategy path-finding is flooding: say a bunch of random hunches overconfidently, make teams try different things out for a little while, see what sticks. They see making code faster not as a way to manufacture a good design more efficiently, but as a means to generate management fuck ups and backpedals at faster pace and greater scale.