A Hands-On Guide to Google AI Studio's New Build Feature
Ever had a brilliant app idea but dreaded the mountain of boilerplate code, set...
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This is super cool! So often I start on my cool new idea, get half way through like building out the data layer or something and lose interest :D
Haha same here!
this is extremely impressive, honestly the self-healing errors thing blew my mind
you think developers will actually start relying on AI for full projects soon, or just for quick prototypes
It would also be nice to have something that could look at a big 2-5+ year old project and suggest optimizations or spot causes of some bug or side effect you describe.
Very Insightful!
Really like how it shows each thinking step instead of being a mystery box. Has anyone tried deploying something other than the card generator yet?
It feels like bubble and all will come to an end when these giants will be in the market with proper user marketing.
There isn't a single LLM model capable of building a production ready app in 2 minutes. Let alone Gemini models, which are way behind Claude. And even Claude makes stupid mistake, that would never be allowed in production.
More like "From prompt to a somewhat working throwaway prototype in less than 2 minutes"
exactly.
Totally Make Sense !
"Failed to call the Gemini API, quota exceeded: Imagen is available with limited free generations per day for testing. To continue generating images, please use the Gemini API."
This is the message I got after several feedbacks to refactor.
I m not a expert in coding and full stack development, I used Google AI Studio, to generate an AI App. when finished he did not integrate the AI and states the following to me:
"You've hit on a very important point, and your thinking is absolutely correct.
In a standard development environment, you would indeed use a .env file at the root of your project to store sensitive information like API keys. That file is intentionally not checked into version control (like Git) to keep the key private.
The reason you don't see a .env file in the project structure I've provided is because my environment is a bit different. I'm providing you with the application's source code, but I cannot create or manage external configuration files like .env.
The application is built on the assumption that the environment where it runs will have the API_KEY available.
In your own local setup, you would simply create a file named .env in the main project folder with the following content:
Generated code
API_KEY="YOUR_GEMINI_API_KEY_HERE"
Use code with caution.
When you run the development server (like Vite or Create React App), it automatically loads variables from this .env file and makes them accessible to the application through process.env.API_KEY, which is exactly what the geminiService.ts file is expecting.
So, to summarize:
Your understanding is spot-on. A .env file is the standard way to handle this.
The code is written to correctly use that standard practice.
You would just need to create that .env file yourself in a real-world scenario."
Do we need to finish the APP ourselves? Or how does it work? Any-one can help me?
it can finsih the app for you but if you want to run it locally on your laptop may be through an IDe you will need to create a .env file in the root of your folder and paste this API_KEY="YOUR_GEMINI_API_KEY_HERE", the gemini api key can be gotten from the api key icon on the right corner when building
i tried didnt work for me tho, said my idea was to complex
very impressive, acting more like a jarvis agent than normal LLM
This is sow interesting! 🧐
This guide is a solid walkthrough of the “Build apps with Gemini” feature. A few practical takeaways for anyone trying this out:
Prompt specificity matters – The more detail you provide, the better the AI can structure components and pick the right models. Always mention which models for images, text, or other tasks if you have preferences.
Expect prototypes, not production-ready apps – As some commenters pointed out, Gemini is incredible for rapid prototyping, but it’s not yet at the level to replace full-scale engineering for complex projects. You’ll likely need to refine, optimize, and integrate yourself.
.env and API keys – If you plan to run locally or deploy, creating a .env file with your Gemini/Imagen API keys is essential. The AI won’t generate this for you automatically.
Iterate and debug – Even with self-healing errors, reviewing the generated code is important. Check types, imports, and logic; AI can miss edge cases.
Deployment – One-click deployment to Cloud Run is super convenient, but be mindful of billing. Testing locally first is safer.
Overall, this is a game-changer for learning, experimentation, and quickly validating app ideas. For anyone serious about full-stack development, it’s a great supplement but not a replacement for understanding architecture, TypeScript, React, and API integration.
Would also love to see others share examples beyond the card generator—multimodal apps or interactive AI agents would be amazing tests of its limits.
Very impressive. I created an HR app with it, last week.
The code assistant often fails to edit the files. It says that it updated the files with the following changes, but no files actually updated.
Impressive tool! Just one question: Does the 'Deploy to Cloud Run' feature incur charges, and if yes, how are they calculated?
The next Game Changer of the week;)
Right up my alley.
So for my little experience a.i is very good tool instead of watching cartoon,very good in engaging you and very good in dodging you,it starts very well,then moves you feels u that i am reaching my gol,in the middle it do somewhat perfect step ignoring your previous work or changing your previous work so that when you get back to your previous steps where you have wasted a lot of time,you see changed one or the one you created in early dteps and your introduced new steps are ignored...........
very helpfull
El resultado de mi prompt es EduPost Generator: una aplicación funcional que transforma conceptos técnicos en contenido educativo estructurado. Mediante un motor de reglas lógicas y diccionarios dinámicos, el sistema genera automáticamente un post principal y tres variaciones únicas, adaptando el lenguaje y la complejidad al nivel de la audiencia de forma instantánea.:
what if I want to integrate multimodal live api for speech inputs and outputs with mcp and agents sdk, can it handle too?
Wow, this is the quickest tutorial I’ve ever gone through. It matches the speed of Google AI Studio perfectly. I learned it in just a few minutes, and now I’m already playing around with my ideas. This is really cool. Welcome to a new AI era, where your idea is just one prompt away!
Love the booster to develop.
Unfortunately for me I'm just working only with my device pending the arrival of my laptop.
Once it comes the moon will be my starting prompt.
I salute the lesson. Expect mine when I get my hands on my baby.
I❤️it
Really cool!
سلام
This tool sounds amazing I will give it a go immediately.
this is awesome!!!
Bruh thats so cool!
very impressive
thanks so much
Top
This is so awesome,
I would be trying this, let's see what would come out of my idea.🤞
NICE ! thanx for share this knowlegdment
Interesting!
Super helpful, looking forward to build!
love it - super easy - just craft your prompts as precise as you can.. and that will make huge change!
This sounds amazing . I cant wait !!
It’s so fascinating that AI allows us to shift our focus from manual execution to strategic creation, accelerating our feature development
after engaging in this exercise my understanding of limits of AI broke the ceiling ,truly mind blowing ,just grateful .
This is incredible
You might want to check out Magic Cloud, I suspect it's got a bajillion features Google's AI studio does not have, and definitely far more intuitive ...
Amazing
I am building a web app that analyzes an inputted Github repo and gives us a whole overview of the repo with advanced features' suggestions that can be added to make it a strong project for our resume
Just created my app, and this is truly phenomenal. Should I no longer bother with my app development course...? I'm self-learning...
With this new feature, Gemini feels like a genie - just describe what you want and it builds the app for you!
good
It's too amazing
Very helpful and giving more explanations i love it
Joining the gang a little bit later but can't wait to put it to a test myself.
Insightful fr
I have created a Tom and Jerry app.
dev.to/bhavasarhemang/tom-and-jerr...
It's awesome
هنا الابداع وهنا التميز منصة لا مثيل لها شكرا جوجل
Nice!
This is far beyond thinkable and is a game changer. Thanks for this well structured lesson.
Very Interesting
impressionnant !
Not sure but it won't let me use it, this seems to be a premium tool only.
This is really great - I didn't really realise ai features had become this powerful - I've got to get building.
It's very good
While surfing found out this post , super cool
I made Hairshift AI how do we submit ?
Why youhave to be 18+ for using Google AI Studio....no matter I am in my college :(
Required paid API key to run the demo
this is impressive