Google AI Studio’s Major Upgrade: Gemini 3 and Nano Banana Pro Unleashed

Google has once again pushed the boundaries of AI-powered development with a significant update to its Google AI Studio. This platform, which has been steadily evolving, now integrates some of Google’s most powerful new models, transforming it from a promising tool into an essential part of the modern developer’s toolkit. This update is a huge step forward in the “vibe coding” movement, where developers can bring their ideas to life with unprecedented speed and intelligence.

A New Era of App Creation with Gemini 3

[00:08.156] [Google AI Studio main page showing Gemini 3 Pro Preview]

At the heart of this update is the full integration of Gemini 3. If you’ve been following the recent advancements in AI models, you’ll know that Gemini 3 represents a massive leap in reasoning and coding capabilities. This isn’t just an incremental improvement; it’s a fundamental change that empowers the AI Studio to handle far more complex tasks.

This latest update is exactly what we have been waiting for to take it to the next level. Basically, Gemini 3 is finally integrated into this.

[00:35.346] [Google AI Studio Build interface with Gemini 3 Pro selected]

To get started, you simply navigate to the Build section within the AI Studio. Here, you’ll find a familiar interface where you can describe your app idea. In the advanced settings, you can now explicitly select which model you want to use for the code assistant.

[00:37.896] [Advanced settings dropdown showing available Gemini models]

The dropdown menu now includes Gemini 3 Pro Preview, alongside other models like Gemini 2.5 Pro and Gemini 2.5 Flash. This ability to choose the most advanced model ensures your applications are built with state-of-the-art logic and efficiency.

More Than a Chatbot: A Fully Integrated App Builder

[00:51.686] [Full view of the Google AI Studio Build page]

It’s important to understand that this is not just a simple chatbot where you copy and paste code. It’s a comprehensive app creator, similar to tools like v0 or Lovable. However, its true power lies in its deep integration with the entire Google ecosystem and the Gemini APIs.

[01:26.556] [“Supercharge your apps with AI” section showcasing various Google APIs]

This means you can ask it to build apps that are specifically powered by Google’s latest models without needing to manually read documentation or figure out API keys yourself. It handles the glue code for you.

This integration allows you to build applications that can generate images, create conversational voice experiences, animate images with Veo, use Google Search data, and much more, all from a single prompt.

Introducing Nano Banana Pro: The Reasoning Image Generator

[02:07.726] [Highlighting the Nano Banana powered app option in Google AI Studio]

One of the most exciting additions is the support for Nano Banana Pro, Google’s new image generation model based on Gemini 3 Pro. What makes this model revolutionary is its ability to reason before it generates an image.

The crazy thing about this model is that it actually reasons and thinks before it generates or edits an image. It understands composition, lighting, and text rendering much better because it plans the image structure before committing pixels.

This leads to images with significantly higher accuracy, better adherence to prompts, and a more coherent artistic style. You can now specifically tell the AI Studio to build an app that leverages this powerful new image model.

[03:07.416] [Selected API appears above the prompt input box]

By selecting the specific APIs you want to use, you provide the AI with the precise context it needs. For example, selecting “Generate images with Nano Banana Pro” instructs the builder to create an application that is tailored to leverage that model’s unique capabilities.

Advanced Customization and Workflow

[03:24.496] [Custom instructions modal for guiding the AI’s coding style]

Google AI Studio also offers robust customization. You can add custom system instructions to enforce a specific coding style, such as preferring Tailwind CSS or using particular React hooks.

[03:35.326] [System instructions template selection for React or Angular]

The platform supports building apps in both React (TypeScript) and Angular (TypeScript), catering to the preferences of a wide range of developers. The generated code is clean and structured, making it easy to port to other platforms later on.

[04:18.596] [File upload options for providing context to the AI]

You can further refine the AI’s understanding by providing context through voice prompts or by uploading files, including images, text files, or even PDFs. This allows you to give the AI a product requirement document or a design sketch to work from, ensuring the final app aligns perfectly with your vision.

Demo: Building a Visual Storyboard Generator

[06:11.233] [Prompt for building a visual storyboard generator for filmmakers]

To showcase these new capabilities, a prompt was used to create a visual storyboard generator for filmmakers. The goal was to build an app that takes a script as input, analyzes its mood and lighting, and generates cinematic storyboard frames using Nano Banana Pro.

Build a visual storyboard generator for filmmakers that takes in the script from the writer and generates storyboard images.

[07:02.395] [AI’s “Thinking” process showing its detailed plan of action]

The AI didn’t just start writing code. It first went through a detailed planning stage, conceptualizing the visual flow, analyzing image parameters, developing parsing logic, and orchestrating the necessary API integrations. This thoughtful process is visible in the interface and is a key reason for the high quality of the final output.

[07:42.275] [The generated storyboard app with the first image created from a script]

The resulting application, “CineBoard AI,” worked flawlessly. It successfully parsed the script, understood the context, and generated a series of cohesive, high-quality images that perfectly captured the mood of each scene. The app also included options to adjust the aspect ratio and regenerate images, providing a complete user experience.

From Prototype to Production in Seconds

[09:56.887] [GitHub integration modal for creating and syncing a repository]

Google AI Studio bridges the gap between idea and deployment. Once your app is built, you have several powerful options:

• Copy App: Create a new version to experiment with new features without breaking the original.
• Download App: Download the entire codebase as a zip file to run and develop locally in your preferred editor like VS Code.
• Save to GitHub: Sync your project directly to a new or existing GitHub repository, with options for public or private visibility.
• Deploy App: With a single click, deploy your application to Google Cloud, building the container, hosting it, and providing a live URL to share.

This seamless workflow makes it incredibly efficient to move from a simple idea to a fully functional, shareable prototype, making it a game-changer for creative and rapid application development.