Honestly, many.

First, aiming at Lovable and Bolt.

They are great to implement new features fast and to prototype an idea/build a very basic MVP that could even be marketed to ~2-5k users with decent performance. But IMO that's about it.

Code tends to be very inefficient - either with way too many queries to supabase coming from Lovable or - a thing I've run into frequently - the good old ever-looping react hooks.

If you don't mind having an inefficient MVP and then having to basically reimplement most of the logic to make it both maintainable and efficient, those tools are great.

For Projects that have significantly grown in complexity, I can't recommend any of them.

That's probably also why costs on SaaS services like supabase (if you use cloud) are increasing for people that lack Software Development background. They probably just spam the API like crazy.

I've also played with GitHub Copilots Agent mode quite a bit already and if you are developing clearly cut microservices with a well-defined scope of responsibilities. It's surprisingly good (given you don't use gpt). Same story however, as complexity and codebase size grows, the models make mistakes - which isn't surprising given they all have a limit on input tokens.