found this interesting piece about how we are basically building a massive pile of technical debt w/o even realizing it. everyone loves that speed boost from generators, but the cost is getting way too high because nobody actually understands the logic being pushed into /src/components. we are basically trading long-term stability for short-term shipping velocity and it is becoming a
total nightmare for maintenance. if u cannot trace the execution path of ur own scripts, u are just waiting for a breakdown. i am seeing more instances where automated PRs pass tests but create deep architectural rot.
>the speed brings a hidden killer: comprehension debt.it is easy to
ignore the mess until the next major refactor hits ur production environment. we need better ways to audit these outputs b4 they hit our main branches. has anyone else implemented specific linting rules or custom checks to catch this type of sprawl? i am worried that
uncontrolled automation will eventually make debugging impossible.
link:
https://thenewstack.io/stop-ai-code-sprawl/