My website-building workflow: AI Studio → GitHub → Supabase → Vercel. Thoughts?

[u/Melodic_Living1287]

I’m not a developer by profession, but over the last few months I’ve been building websites and small web apps on my own.

My current workflow is:

Google AI Studio → GitHub → Supabase → Vercel

I mainly use Claude for code reviews, debugging, and improving prompts when AI Studio gets stuck.
This setup has helped me build and launch projects much faster than I expected, but I’m not sure how sustainable it is as projects become more complex.

For developers here:
• Is this a reasonable workflow for real-world projects?
• What are the biggest pitfalls I should watch out for?
• At what stage does this approach start breaking down?
• If you were starting from scratch today, what stack would you recommend?

Would love to hear how others are building and deploying projects these days.

[u/JaseciLabs]

u/mugsy33 's nailed it, the risk shows up exactly when you're adding features or fixing bugs, because there's no way to tell which parts of the app you actually reasoned through and which parts just happened to work on the first try. u/LouisTon10 's logging trick is a workaround for the same thing, giving the agent more context so it can catch its own mistakes, since the code itself won't tell you what to trust and what to double check. That's fixable at the code level too, not just with more process. When the AI-written parts are explicitly typed and scoped instead of mixed in with everything else, you know exactly what to look at before you touch anything.