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VibeFresh

Turn ideas into deployed React apps instantly with VibeFresh, a Gemini-3-powered AI prototyping tool that transforms text descriptions into functional code with modern design.

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Inspiration

We wanted to bridge the gap between imagination and implementation. Existing AI coding tools often produce generic designs. VibeFresh was inspired by the idea of an AI "Creative Frontend Architect" that doesn't just write code but creates "Award-Winning" and "Visually Stunning" interfaces from simple text descriptions.

What it does

VibeFresh is a Gemini-powered AI prototyping tool that instantly transforms text prompts into deployed React applications.

  • Generates Code: Creates functional React components, styles, and logic.
  • Enhances Prompts: Uses an intermediate AI step to rewrite raw inputs into detailed technical specifications.
  • Live Preview: Streams code generation in real-time, building a multi-file project structure dynamically.

How we built it

We utilized a modern tech stack focused on speed and interactivity, leveraging the power of Google Antigravity, Google's new agent-first IDE:

  • Agentic Development: Built using Google Antigravity, which allowed us to use "vibe coding" to orchestrate multiple AI agents for planning, coding, and testing the application.
  • AI Model: Google Gemini 3 Flash Preview handles the complex logic of multi-file code generation and "vibe" interpretation.
  • Frontend: Built with React, Vite, and Tailwind CSS for a responsive user interface.
  • System Prompting: We engineered a comprehensive system instruction that enforces specific design constraints (like "Glassmorphism" and "Mobile-First") and XML-based output formatting.

Challenges we ran into

  • Structured Output: Getting the AI to strictly follow an XML file structure for parsing while maintaining creative freedom for the UI design was difficult.
  • State Management: Handling the real-time streaming of code updates without breaking the live application state or causing UI glitches.
  • Context Management: Balancing the amount of history and context sent to the AI to ensure continuity without exceeding token limits.

Accomplishments that we're proud of

  • "Vibe" Injection: Successfully creating a system where the AI adopts a specific design persona (e.g., "Nature/Eco" vs. "Tech/SaaS") based on the prompt.
  • Streaming Parser: Developing a custom parser that reads the AI's XML stream and assembles the project files live in the browser.
  • Modern Aesthetics: Enabling the automatic generation of complex UI effects like Glassmorphism and animated backgrounds.

What we learned

  • Agentic Workflows: Using Google Antigravity taught us the power of "Mission Control" interfaces, where we could act as architects while autonomous agents handled the implementation details.
  • Prompt Engineering: We learned that "System Prompting" is effectively a programming language; precise instructions are key to high-quality outputs.
  • Model Capabilities: The Gemini 3 Flash Preview model is highly capable of handling complex logical tasks and maintaining context across multiple files.

What's next for VibeFresh

  • Enhanced Collaboration: Implementing deeper real-time collaboration features for teams to work on generated prototypes together.
  • Expanded Component Library: Refining the system instructions to support an even wider range of modern UI components and animations.
  • Direct Deployment: Streamlining the process to deploy generated apps directly to production environments.

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