I do not have the burnout but I certainly operate similarly to the author. I continue to be unable to establish a workflow where allowing the LLM to generate code that I review is faster than writing the code myself. Literally the only two ways out of this dilemma is to blindly trust what was generated or to generate an uncharacteristically exhaustive suite of unit tests to validate every possible scenario. I just write the business logic myself and have the LLM do a lot of the rest. Boilerplate falls into the latter as well.
I've just been carefully reading the code. It is easy to slip into just accepting what comes out to speed things up, but reading the code is important.
I save myself by skimming things like tests, templates, some UI. Anything cosmetic. But I have to read the majority of code that ends up on my back end systems.
And for those that have similar-ish sentiments, what mental defect is had that prevents them from just drinking that sweet tasty kool-aid and just use the slop created. What demented trait is in them that causes everyone to just be a stick in the mud trying to ruin everyone else's good time?
In my personal experience, the ones most enthusiastic about LLM magic are those that can't code, but can now walk away with something functional if not quite the best code. Now that they can produce workable code, it will make everyone better. Yet, they have no idea how maintainable the slop is or if it's slop at all.
> generate an uncharacteristically exhaustive suite of unit tests to validate every possible scenario.
This is what you want. You want comprehensive tests at every level, far more than is reasonable for a human to build or maintain, from unit, functional, to full end to end and beyond. Adversarial testing (both TDD-style "write tests to demonstrate this bug", and posthoc "prove this patch wrong with a new test") is the best way to keep AI on track and make those diffs you have to read clean and easy.
An even better way is to use a more strongly typed language and really lock it down, but you can use testing in any language. I feel like my background in TDD and "TATFT" has been secret sauce when working with AI