Processes, tools, and diligence vigilantly seem the most apparent path. Perhaps rehash the 50 year old debate of professionalization while AI vibes coding is barking at the door, because what could possibly go wrong with even less experience doing the same thing and expecting a different result.
If you want to do that on your own time, that's fine - but the purpose of a job is economic. Of course you should write software of some reasonable quality, but optimizations have diminishing economic returns. Eventually, the returns are lower than the cost (in time, money, etc) of further optimizing, and this break-even point is usually at a lower level of quality than engineers would like it to be. Leadership and engineering managers know this and behave accordingly.
Ive watched many businesses appreciate the benefits of software quality (happy customers, few incidents, fast feature turnaround) without ascribing it to anything in particular.
Then, when it went away, they chalked up the problems to something else, throwing fixes at it which didnt work.
At no point in time did they accurately perceive what they had or what they lost, even at the point of bankruptcy.
Part of the problem is that the absence of bugs, incidents and delays just feels normal and part of the problem is most people are really bad at detecting second order effects and applying second order fixes. E.g. they think "another developer will fix it" or "devs just need to dedicate more time to manual QA".
Conversely, because it's so hard to see I think it can make a really good competitive moat.
Ouch. It seems that when a manager sinks some team's velocity by adding a bad developer to it the following reaction is always to add more bad developers so the velocity recovers.
And then when they can't herd all the bad developers around, the obvious next step is to finish destroying everything again by imposing some strict process.