AI makes starting easier but finishing harder. You get to 80% fast, then spend longer on the last 20% than you would have building from scratch - because now you're debugging code you don't fully understand.

I run a SaaS solo, and that hasn't really been my experience, but I'm not vibe coding. I fully understand all the code that my AI writes when it writes it, and I focus on sound engineering practices, clean interfaces, good test coverage, etc.

Also, I'm probably a better debugger than AI given an infinite amount of time and an advantage in available tools, but if you give us each the same debugging tools and see who can find and fix the bug fastest, it'll run circles around me, even for code that I wrote myself by hand!

That said, as time has gone on, the codebase has grown beyond my ability to keep it all in my head. That made me nervous at first, but I've come to view it just like pretty much any job with a large codebase, where I won't be familiar with large parts of the codebase when I first jump into them, because someone else wrote it. In this respect, AI has also been really helpful to help me get back up to speed on a part of the codebase I wrote a year ago that I need to now refactor or whatever.