Google has announced a major update to AI Studio, introducing a new development approach called “vibe coding.” The idea is to accelerate the development of AI-powered applications by allowing users to describe their requirements in plain language, while Gemini models handle the technical work behind the scenes.
The update aims to lower the barrier to entry for beginners and boost creativity and productivity for experienced developers.
What changed in Google AI Studio?
The latest update brings several features designed to make app creation more intuitive and automated:
Build from a single prompt: Users can describe the app they want using natural language. AI Studio utilises Gemini models to automatically generate code, handle API integration, and configure all necessary components for the project.
Redesigned App Gallery: A refreshed gallery now showcases visual examples of AI-powered apps. These examples can be explored, studied, duplicated, or adapted to inspire new creations.
Annotation Mode: Interface elements can be edited through text commands—for example, changing colours, adding animations, or modifying layout—without manually editing the code.
Interactive loading screen: While the system generates the app, AI Studio displays ideas, tips, and suggestions to spark creativity.
Seamless continuation: If users reach the free tier limit, they can simply plug in their own API key to continue developing without interruption.
What is vibe coding?
Vibe coding is a development style where the programmer describes what they want in natural language while the AI generates the necessary code. The term was coined by Andrej Karpathy in 2025 and captures the idea of “going with the vibe”—letting the AI handle the technical heavy lifting while the creator focuses on ideas and intent.
Why is “vibe coding” the word of the year?
The Collins Dictionary named “vibe coding” the 2025 Word of the Year because it reflects a major shift in how humans interact with technology. It highlights the movement toward natural-language computing, where AI systems translate human intent directly into functioning software.
