Comment by netcan

Coding goodness is just "unevenly distributed."

Irl, (a) different people's ways of working with ai are a million little islands and (b) bottlenecks vary enormously by coder and codebase/task.

Also... I think our era has an intrinsic bias that change=progress, productivity, etc.

Take the "networked computing revolution" of 1990-2000. These computers did land on every desk and every pocket. They are administration powerhouses. Excellent for all manner of administration tasks.

But... what this netted out to is "change." We send a lot more emails than we did letters. We communicate a ton. Secretaries went extinct. But "administration" grew.

A university faculty typically has more admins. Companies hire more accountants, HR, project managers, etc.

Maybe administration was never really a bottleneck.

Code has a lot of this. Everyone has a road map, wishlist, etc. It appears as though "code capacity" is the bottleneck. But maybe most of those companies can't really generate much more value from more software.

Anecdotally, it seems that many mid-tier shops are migrating/ modernizing their stack, and suchlike.

I haven't heard of many belting out features, and increasing prices or sales.

Most bottlenecks are upstream of another bottleneck. Few are a "dam."