This. But instead of 700 it's more likely that everyone will be a founder (more or less). It's already scary how easy it is to launch an MVP or produce prototypes with the latest models.
This. But instead of 700 it's more likely that everyone will be a founder (more or less). It's already scary how easy it is to launch an MVP or produce prototypes with the latest models.
The app really is just several simple forms with some if/else logic, but claude code allowed them to get the app up and running and deployed on vercel's free tier, and it's Good Enough™ to save them an hour or so each day lost in messaging and chasing up things.
I don't think anyone would ever have targeted an app for sale to them, and it would have been hard to twist some sort of flow management app and integrate it with Zapier or something to handle external api calls. With claude code they could just tell it what they wanted and solve their very niche issue. That's why I think that even though LLM coding has improved so much you might not see more software for sale - it's easier for people to just...make their own software.
That said, I meant more like production grade apps that have to serve N>1, which is IME where the hard part LLMs suck at comes in. I saw a tweet somewhere along the lines of “CEOs/execs are so divorced from the last mile effort that they are uniquely susceptible to believing AI can replace engineers end to end”
I have seem several people use AI to write apps to automate a process and along they way finally ask the question 'do we even need this process?'.
Regrettably this does not happen everywhere.
No it isn’t. The things that were hard are now harder. The things that were comparatively easy are now easier. But if you build another piece of vibe-coded crap in a world awash in vibe-coded crap, you will not stand out. Nobody cares about your unpolished, one-shot prototype, so cranking them out faster is not really helpful.
Differentiation is always a problem of effort and care, and this isn’t going to change.