So where are all the AI apps? – Answer.AI

Practical AI R&D

Answer.AI
It is incredibly easy now to get an idea to the prototype stage, but making it production-ready still needs boring old software engineering skills. I know countless people who followed the "I'll vibe code my own business" trend, and a few of them did get pretty far, but ultimately not a single one actually launched. Anyone who has been doing this professionally will tell you that the "last step" is what takes the majority of time and effort.
I also experienced this with my personal projects. It was really easy to just workshop a new feature. I'd talk to claude and get a nice looking implementation spec. Then I'd pass it on to a coding agent which would get 80% there but the last 20% would actually take lot more time. In the meantime I'd workshop more and more features leading to an evergrowing backlog and an anxiety that an agent should be doing something otherwise I'm wasting time. I brought this completely on myself. I'm not building a business, nothing would happen if I just didn't implement another feature.
Ha! I do this too and have also recently noticed. When scope creep is relatively cheap, it also gets unending and I'm never satisfied. I've had a couple of projects that I would otherwise open source that I've had to be realistic about and just accept it's only going to be useful for myself. Once I open it I feel a responsiblity for maintenance and stability that just adds a lot of extra work. I need to save those for the projects that might actually, realistically, be used.