A Vibe Coding Lovable-like interface lands in Google AI Studio

Google AI Studio's 'vibe coding' turns a single prompt into apps in minutes, automating models, APIs and starter code. It also includes a visual App Gallery, Annotation Mode and personal API key support.

A Vibe Coding Lovable-like interface lands in Google AI Studio

TL;DR

  • Vibe coding workflow: single natural-language prompt generates a wired, AI-powered app in minutes
  • Gemini models handle inference, model selection, API wiring, and automatic runtime setup
  • “I’m Feeling Lucky” starter-idea flow to seed app concepts; platform auto-generates starter code and connections
  • Revamped App Gallery with visual previews and remixable starter projects — https://aistudio.google.com/apps?source=showcase; builds show Gemini-powered, context-aware suggestions via a Brainstorming Loading Screen
  • Annotation Mode for visual edits: highlight UI elements and apply natural-language instructions to change styling, layout, or add simple animations
  • Personal API key support to continue development past free-quota limits; tutorials playlist for vibe coding workflows — https://www.youtube.com/playlist?list=PLOU2XLYxmsIKkEa_-KTPF9DZ0IyHJ7V1H

Introducing vibe coding in Google AI Studio

In a move presumably aiming at attracting casual developers, Google AI Studio adds a new “vibe coding” workflow that turns a single natural-language prompt into a wired, AI-powered app in minutes. The experience is built around Gemini models that handle configuration and orchestration, removing much of the manual work involved in combining models, APIs, and UI scaffolding.

From prompt to app, with models doing the plumbing

Describe a multi-modal app and the platform determines needed capabilities and wires together the appropriate services and models. The aim is to compress the path from idea to prototype by automating model selection, API connections, and starter code generation. A built-in option to generate starter ideas — labeled as an “I’m Feeling Lucky” flow — helps seed app concepts when inspiration is limited.

Key technical point: the system relies on Gemini models to infer required components and set up the app runtime automatically.

Revamped App Gallery and contextual inspiration

The App Gallery has been redesigned into a visual library of example projects. Each entry provides a preview and starter code that can be remixed. While projects build, a new Brainstorming Loading Screen surfaces context-aware suggestions generated by Gemini, turning build wait time into an ideation moment.

Link to the App Gallery: https://aistudio.google.com/apps?source=showcase

Annotation Mode for visual edits

Refinement is handled through an Annotation Mode that lets developers highlight UI elements and provide natural-language instructions to change them. Tasks such as adjusting button color, restyling card layouts, or adding a simple animation can be described against highlighted elements instead of editing code directly. This creates a more visual, iterative editing loop for interface tweaks.

Keep coding when quotas run out

To avoid interruptions once free quotas are exhausted, the platform allows adding a personal API key so development can continue. When the free tier renews, the environment automatically switches back to the built-in quota.

Learning resources

A collection of tutorials is available as a YouTube playlist that covers vibe coding workflows and getting started with AI Studio.

These updates emphasize integrating AI at every phase of app creation — from ideation and prototyping to iterative UI refinement — with the explicit goal of lowering the technical barrier for building multi-model AI applications.

Original source: https://blog.google/technology/developers/introducing-vibe-coding-in-google-ai-studio/?

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