My foresight is that when you compensate bad developers with process, measurements and QA, the software breaks when exposed to the real world, which has a habit

My foresight is that when you compensate bad developers with process, measurements and QA, the software breaks when exposed to the real world, which has a habit of doing things you didn't think about. Maybe an user can open two tabs and manage to submit two incompatible forms. Or a little gap in an API validations' allows a clever hacker to take over other users' accounts. Or a race condition corrupts data and causes a crash loop. Maybe some are OK with that level of brokenness, but I don't see how software can be robust unless you go into the code and understand what is logically possible. My experience is that AI models aren't very good at this.