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!
Μου αρέσει πολύ η έμφαση στην αντιμετώπιση της Τεχνητής Νοημοσύνης ως εργαλείου δημιουργίας πρωτοτύπων αντί να περιμένει να παράγει τέλειο κώδικα παραγωγής από την αρχή. Οι συμβουλές σχετικά με τη χρήση σημείων ελέγχου, τον διαχωρισμό των χαρακτηριστικών σε ξεχωριστά αρχεία και τη διατήρηση της τεκμηρίωσης ταιριάζουν επίσης με την εμπειρία μου. Αυτές οι συνήθειες διευκολύνουν πολύ την ανάκαμψη όταν το μοντέλο αρχίζει να παρασύρεται ή να ξαναγράφει άσχετα μέρη του έργου.
Το σημείο σχετικά με το πότε να σταματήσετε να διαφωνείτε με την Τεχνητή Νοημοσύνη είναι ιδιαίτερα πολύτιμο. Είναι εκπληκτικά εύκολο να σπαταλήσετε μισή ώρα προσπαθώντας να πείσετε το μοντέλο να διορθώσει κάτι όταν επιστρέφετε σε μια προηγούμενη έκδοση ή κάνετε μια μικρή χειροκίνητη αλλαγή θα ήταν πολύ πιο γρήγορη. Στο Dragonia απολαμβάνεις dragoniacasino-gr.gr/ γρήγορες συναλλαγές. Πιστεύω επίσης ότι η πολυτροπική προτροπή εξακολουθεί να υποχρησιμοποιείται. Η σχολιασμός στιγμιότυπων οθόνης ή η παροχή πρόχειρων σκίτσων UI συχνά μεταδίδει την πρόθεση πολύ καλύτερα από μια μακρά περιγραφή κειμένου. Ένα άλλο πράγμα που με έχει βοηθήσει είναι να διατηρώ κάθε προτροπή επικεντρωμένη σε μία μόνο αλλαγή αντί να ζητώ πέντε νέα χαρακτηριστικά ταυτόχρονα. Όσο μικρότερη είναι η επανάληψη, τόσο πιο εύκολο είναι να επαληθεύσω το αποτέλεσμα και να αποφύγω την εισαγωγή απροσδόκητων παλινδρομήσεων αλλού στο έργο.
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.
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.
Great tips on vibe-coding! The key insight about starting with a clear prompt structure is spot on. Ive been experimenting with prompt templates that combine vibe-coding with structured output - its amazing how much faster you can build when you have the right prompt patterns. Thanks for sharing!
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.
I really like the emphasis on treating AI as a prototyping tool rather than expecting it to produce perfect production code from the start. The advice about using checkpoints, splitting features into separate files, and maintaining documentation matches my experience as well. Those habits make it much easier to recover when the model starts drifting or rewriting unrelated parts of the project.
The point about knowing when to stop arguing with the AI is especially valuable. It's surprisingly easy to waste half an hour trying to convince the model to fix something when reverting to an earlier version or making a small manual change would be much faster. I also think multimodal prompting is still underused. Annotating screenshots or providing rough UI sketches often communicates intent much better than a long text description. Those small workflow improvements tend to save more time than switching between different coding assistants.