You might already know Google AI Studio as a sandbox to play with the Deepmind models and tinker with all their parameters. But did you know that y...
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This is a very helpful guide. Thanks for pulling all these tips together!
this is such a good breakdown
didnt know you could vibe code directly in
ai studio, been using it only for testing
models this whole time lol
the tip about splitting files is something
i learned the hard way. had everything in
one massive file and the ai just started
forgetting features halfway through
gonna try the annotate tool next, drawing
directly on the ui sounds way faster than
trying to describe ui changes in text
thanks for sharing this
This is very helpful.
The "split your files" and "force documentation" tips are huge. I've built multiple iOS apps entirely with AI-assisted development, and the single biggest lesson was exactly this — the moment your app.tsx (or in my case, ContentView.swift) gets past ~500 lines, the AI starts losing track of earlier features.
My workflow now: I always start with a Design.md and break the app into feature modules from day one. It sounds like overkill for a "vibe coding" session, but it saves hours of debugging later.
The system instructions tip is also gold. I keep a prompt template that includes coding guidelines, file structure conventions, and SwiftUI-specific patterns. It's like onboarding a junior dev every session, as you said — and it makes a real difference in output quality.
Great guide, bookmarking this for reference.
The privacy point is the actual differentiator here. Most free-tier code generators make everything public by default, which kills any real prototyping use case — nice that AI Studio avoids that trap.
This is a very helpful. Thanks for the tips.
the rapid iteration part is what clicks for me. i use AI Studio similarly - less for shipping prod apps, more for proving out an idea fast enough that i can tell if it's worth building properly. the constraint of "no setup, deploy in minutes" forces you to focus on the core interaction rather than getting lost in infrastructure. there's something useful about that constraint even if you throw the prototype away.
the vibe-coding approach sounds super interesting for quickly prototyping ideas. at moonshift, we let you get a full next.js + postgres + auth app deployed in about 7 minutes, and you have the code on your github. if you're curious, I can hook you up with a free run to see how it works.
great article, help me choose between between Google AI Studio and Anitigravity. I would rabuild some specifications in Google AI Studio for very small application or concept building but go for antigravity application for small to medium fully functioning applications.