Google AI Studio has received a big Vibe Coding upgrade with a new interface, buttons, tips, and community features that allow anyone with an idea for an app – even complete newbies, laypeople, or non-developers like you – to bring it into existence and deploy it live on the web for anyone to use. minutes,
Updated Build tab now available here ai.studio/buildAnd it’s free to start.
Users can experiment with building applications without entering payment information upfront, although some advanced features like VO 3.1 and Cloud Run deployments require a payment API key.
I think the new features make Google’s AI models and offerings even more competitive, perhaps becoming a favorite for many general users over dedicated AI startup rivals like Anthropic’s Cloud Codes and OpenAI’s Codex. "vibe coding" Focused products that are beloved by developers – but seem to have higher barriers to entry or may require more technical know-how.
A Fresh Start: Redesigned Build Mode
The updated Build tab serves as the entry point to Vibe coding. It introduces a new layout and workflow where users can select from Google’s suite of AI models and features to power their applications. The default is Gemini 2.5 Pro, which is great for most cases.
Once selected, users simply indicate what they want to build, and the system automatically assembles the necessary components using Gemini’s API.
This mode supports blending capabilities like Nano Banana (a lightweight AI model), VO (for video understanding), Imagine (for image generation), FlashLight (for performance-optimized inference), and Google Search.
Patrick Lorber, developer relations at Google DeepMind, highlighted that the experience is meant to help users “supercharge your apps with AI” using a simple prompt-to-app pipeline.
In a video demo posted on X and LinkedIn, they showed how just a few clicks led to the automated generation of a garden planning assistant app with layouts, visuals, and a conversational interface.
From prompt to production: creating and editing in real time
Once the app is ready, users are transported to a fully interactive editor. On the left, there’s a traditional code-assist interface where developers can chat with the AI model for help or suggestions. On the right, a code editor displays the full source of the app.
Each component—such as React entry points, API calls, or styling files—can be edited directly. Tooltips help users understand what each file does, which is especially useful for those less familiar with TypeScript or frontend frameworks.
Apps can be saved to GitHub, downloaded locally, or shared directly. If advanced scaling or hosting is required, deployment is possible in a studio environment or via Cloud Run.
Motivation on demand: ‘I’m feeling lucky’ button
A standout feature in this update is the “I’m Feeling Lucky” button. Designed for users who need a creative jumpstart, it generates random app concepts and configures the app setup accordingly. Each press generates a different idea with suggested AI features and components.
Examples produced during the demo included:
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An interactive map-based chatbot powered by Google Search and conversational AI.
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A dreamy garden designer using image creation and advanced planning tools.
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A trivia game app with an AI host whose personality users can define, integrating both Imagine and FlashLight with Gemini 2.5 Pro for conversation and reasoning.
Logan Kilpatrick, product lead for Google AI Studio and Gemini AI, said in a demo video of his own that the feature encourages exploration and experimentation.
“You get some really cool, different experiences,” he said, emphasizing its role in helping users find new ideas quickly.
Hands-on test: From prompt to app in 65 seconds
To test the new workflow, I prompted Gemini:
A random dice rolling web application where the user can choose between normal dice sizes (6 sides, 10 sides, etc.) and then watch an animated dice rolling and also choose the color of their dice.
Within 65 seconds (just over a minute) AI Studio returned a fully functioning web app Speciality:
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Dice size selector (d4, d6, d8, d10, d12, d20)
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Color customization options for dye
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Animated rolling effect with random results
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Clean, modern UI built with React, TypeScript, and Tailwind CSS
The platform also produced a complete set of structured files, including App.tsx, constants.ts, and individual components for dice logic and controls.
After generation, it was easy to iterate: adding sound effects for each interaction (rolling, choosing dice, changing colors) required only a follow-up signal to the built-in assistant. By the way, Mithun had also suggested this.
From there, the app can be live previewed or exported using the built-in controls:
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Save to GitHub
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Download the complete codebase
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Copy project for remixing
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Deploy through integrated tools
My brief, hands-on testing revealed how fast even small utility apps can go from idea to interactive prototype – without leaving the browser or manually writing boilerplate code.
AI-suggested enhancements and feature refinements
In addition to code generation, Google AI Studio now also offers context-aware feature suggestions. These recommendations, generated by Gemini’s flashlight capability, analyze the current app and propose relevant improvements.
In one example, the system suggested implementing a feature that displays a history of previously generated images in the Image Studio tab. These iterative enhancements allow builders to expand the app’s functionality over time without having to start from scratch.
Kilpatrick emphasized that users can continue to refine their projects by combining both automatic generation and manual adjustments. “You can go in and continue to edit and refine the experience you want iteratively,” he said.
Free to start, flexible to grow
The new experience is available at no cost to users who want to experiment, prototype, or build lightweight apps. There’s no need to enter credit card information to start using Vibe Coding.
However, more powerful capabilities – such as using models like Veo 3.1 or deploying via Cloud Run – require switching to a paid API key.
The purpose of this pricing structure is to lower the barrier to entry for experimentation while providing a clear path to scale if needed.
Built for all skill levels
A central goal of the Vibe Coding launch is to make AI app development accessible to more people. The system supports both high-level visual builders and low-level code editing, creating a workflow that works for developers at all experience levels.
Kilpatrick noted that although he is more familiar with Python than TypeScript, he still found the editor useful due to the helpful file descriptions and intuitive layout.
This focus on usability may make AI Studio an attractive option for developers exploring AI for the first time.
And more to come: One week of launch
The launch of Vibe Coding is the first in a series of announcements expected throughout the week. Although specific future features have not yet been revealed, both Kilpatrick and Loeber have indicated that additional updates are on the way.
With this update, Google AI Studio establishes itself as a flexible, user-friendly environment for building AI-powered applications – whether for entertainment, for prototyping, or for production deployment. The focus is clear: making the power of Gemini’s API accessible without unnecessary complexity.
