Comment by zer00eyz

> Disagree with the overall argument.

It's leaning in a good direction, but the author clearly lacks the language and understanding to articulate the actual problem, or a solution. They simply dont know what they dont know.

> Human effort is still a moat.

Also slightly off the mark. If I sat one down with all the equipment and supplies to make a pair of pants, the majority of you (by a massive margin) are going to produce a terrible pair of pants.

Thats not due to lack of effort, rather lack of skill.

> judgement is as important as ever,

Not important, critical. And it is a product of skill and experience.

Usability (a word often unused), cost, utility, are all the things that people want in a product. Reliability is a requirement: to quote the social network "we dont crash". And if you want to keep pace, maintainability.

> issue devs would run into before AI - the codebase becomes an incoherent mess

The big ball of mud (https://www.laputan.org/mud/ ) is 27 years old, and still applies. But all code bases have a tendency to acquire cruft (from edge cases) that don't have good in line explanations, that lack durable artifacts. Find me an old code base and I bet you that we can find a comment referencing a bug number in a system that no longer exists.

We might as an industry need to be honest that we need to be better librarians and archivists as well.

That having been said, the article should get credit, it is at least trying to start to have the conversations that we should be having and are not.