alt Hacker NewsThat will not work as cleanly as you described once a lot of code has been committed to the code base. You cannot just blow away an entire working code base and start over just because an LLM is struggling to make a feature work with existing architecture.
This happened on every single greeenfield project that I've started with AI, no matter how rigorous process I've had defined.
And it's not just easier because it's cheap, it's easier because you're not emotionally attached to that code. Just let it produce slop, log what worked, what didn't, nuke the project and start over.
It just gets incredibly boring.