Those first three are "enterprise" or B2B applications, where the person buying the software is almost never one of the people actually using the software. This disconnect means that the person making the buying decision cannot meaningfully judge the quality of any given piece of software they are evaluating beyond a surface level (where slick demos can paper over huge quality issues) since they do not know how it is actually used or what problems the actual users regularly encounter.

What about caring and being depressed because quality comes from systems rather than (just) individuals?

Google, Facebook, Apple clearly care deeply about the quality of their code. They have to because bugs, bad performance, outages, vulnerabilities have very direct and immediate costs for them. I know Amazon and Microsoft have their critics but I bet they are also better than we give them credit for.

There are factors besides software quality that affect their success. But running bad software certainly isn’t going to help.

And if you can deterministically define "high quality software" with linters, analysers etc - then an AI Agent can also create high quality software within those limits.