Launched in November 2025, Google AI Studio’s Build mode allows you to quickly create applications designed for the web with all Google services.
This is the vibe coding app of the moment. Discreetly launched by Google in November, Google AI Studio is gradually attracting the developer community thanks to its ease of use and its numerous native integrations. Based on Gemini 3, the tool is a solid alternative to basic low-code applications. According to our tests, the generated code and the overall architecture are close to a production-ready level. A particularly practical solution for companies wishing to quickly prototype applications while significantly reducing development time.
Native Google integrations
Build mode is directly accessible in Google AI Studio. It’s free to use with generous limits. Once the quota is reached, it is possible to switch to classic token billing via the Gemini API. Please note: by default, Google uses data from your project to train its models.
Build mode was designed from the ground up to develop web applications using AI and real-time data. The tool can thus natively integrate Nano Banana for the creation and editing of images, Veo for video generation, Gemini Live for the use of voice, Google Search for real-time information, Google Maps for cartography, or simply all of the Gemini models for creating, analyzing and reasoning.
How it works is simple: just send a prompt and the AI writes the code for your project. Once this code is integrated into your project files, you can edit it manually with the code editor or iterate directly with Gemini. By default, the back part (intelligence) of applications is developed in JavaScript, with the React or Angular libraries. Once the project is complete, you can export it directly as a zip archive containing all the code. It is also possible to push the application to a GitHub repository or, even smarter, to deploy it to Google Cloud Run. The application will then be in production in a few seconds.
How to develop an intelligent web application with Apps?
To create an app, go to aistudio.google.com/apps, select Gemini 3 Pro as your engine model and enter your prompt. For this test, we are asking Gemini to generate a web application called “VibeImmo” which allows, from an address, to generate a complete report on the neighborhood with the positive points, the negative points, a summary of the general atmosphere and finally a score out of 10. For this, the application will have to use Google Search in the background to collect information on the address (news, crime rate, transport offer) and finally Gemini to synthesize and display the information.
Prompt: Developed an intuitive and refined web application called “Vibe Immo” whose objective is to analyze the atmosphere of a neighborhood from a simple address without requiring complex navigation on a map. The user interface should be centered around a sleek, minimalist input form prompting the user to enter a specific street address or neighborhood name, accompanied by a clearly visible action button to start the analysis. Once the address is submitted, the app should use Google Search capabilities in the background to collect recent contextual data about the area, such as local reviews, news articles, crime rates, transportation availability, and retail density, and then use Gemini to synthesize this raw information. The result of the analysis should be dynamically displayed on the form in the form of a neat results map including an overall “Quality of Life” score out of 10, a punchy narrative summary describing the actual atmosphere of the neighborhood as “boho-chic but noisy” or “residential and ultra-quiet”, as well as a summary of the strengths and points of attention, all in a modern and reassuring visual style ready for production.
Google AI Studio then generates the code, html and tsx files for the intelligence part. The whole thing is based on Google’s Genai SDK. The interface is sober, clear, almost worthy of a SaaS. Everything is functional and reports are generated on the fly without any hassle.
Even more interesting, the builder has a device selector to observe how the interface behaves on a mobile or tablet. Finally, the produced files are saved in your drive, and a versioning tool allows you to return to previous modifications when you iterate.
Finally, exporting the project is extremely intuitive. A simple click on “Download app” allows Google AI Studio to generate a complete archive containing all the files. The code provided is almost production-ready. A README file accompanies the archive with clear deployment instructions (installation of dependencies, configuration of API keys), which requires very little technical skills.
To go even faster, it is possible to export and deploy your application to Google Cloud Run in less than 10 seconds. It then becomes accessible to everyone via a public URL, as is the case here: https://vibe-immo-196031876685.us-west1.run.app/
Prototype quickly and well
Google AI Studio offers considerable time savings, especially for teams looking to prototype quickly and well. For freelance developers, this is also a major opportunity to launch SaaS, provided you have the right idea. The only limitation is inherent in the very nature of the tool: it is impossible to work on your own code base, as the interface is not designed for that. “Build” mode is designed for designing applications from A to Z, and not for editing code generated elsewhere. At best, you will be able to integrate existing APIs and tools into a new project, but the interaction will stop there.
In short, Google AI Studio excels by drastically reducing the friction specific to other “Vibe Coding” tools. The experience is fluid, intuitive and very “Google”. A much more convincing approach than Antigravity, which is struggling to establish itself due to software complexity that is unusual for the firm.
