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Being towards death

Heed not to the tree-rustling and leaf-lashing rain, Why not stroll along, whistle and sing under its rein. Lighter and better suited than horses are straw sandals and a bamboo staff, Who's afraid? A palm-leaf plaited cape provides enough to misty weather in life sustain. A thorny spring breeze sobers up the spirit, I feel a slight chill, The setting sun over the mountain offers greetings still. Looking back over the bleak passage survived, The return in time Shall not be affected by windswept rain or shine.
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The replacement for bolt.new has arrived: Gemini Coder, an open-source web application generation tool based on the Google Gemini API.

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This post is translated from Chinese into English through AI.View Original
AI-generated summary
Gemini Coder is an AI application generation tool that utilizes Google's Gemini API, Next.js, and Tailwind CSS. It allows users to quickly generate complete web application code from simple text descriptions, significantly streamlining the development process. Key features include: - **Code Generation**: Automatically creates web application code based on user descriptions. - **Real-time Preview**: Offers live code editing and preview capabilities. - **Multi-model Support**: Compatible with various Gemini models to cater to different development needs. The tool operates using the Gemini API for code generation, Next.js for web application framework, Tailwind CSS for styling, and Sandpack for real-time editing and previewing. To run Gemini Coder, users need to clone the GitHub repository, configure their environment with a Google AI Studio API key, install dependencies, and start the local development server. Resources include links to the HuggingFace repository, GitHub repository, Gemini API documentation, and Sandpack documentation.

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Gemini Coder#

Gemini Coder is an AI application generation tool based on Google's Gemini API, Next.js, and Tailwind CSS. It can quickly generate complete web application code through simple text descriptions and implement real-time code editing and preview functions in conjunction with Sandpack. Users only need to provide a basic description of the application, and the system can automatically generate the corresponding code and interface, greatly simplifying the development process and improving development efficiency. Whether for rapid prototyping or small application development, Gemini Coder can provide powerful support.

Main Features#

  • Code Generation: Automatically generates complete web application code based on simple text descriptions.
  • Real-time Preview: Provides real-time code editing and preview functions, allowing users to instantly see the application effects.
  • Multi-model Support: Compatible with models such as Gemini 1.5 Pro, Gemini 1.5 Flash, and Gemini 2.0 Flash Experimental, meeting different development needs.

Technical Principles#

  • Gemini API: Code generation based on Google's Gemini API, capable of understanding user needs and generating code structures and logic that meet requirements.
  • Next.js: As the framework for web applications, it supports static generation and server-side rendering, enhancing application loading speed and SEO performance.
  • Tailwind CSS: As a styling framework, it achieves complex layouts and styles through utility class combinations, improving development efficiency and code maintainability.
  • Sandpack: Provides real-time code editing and preview functions, offering users an isolated environment to safely edit code and see application changes in real time.

How to Run Gemini Coder#

  1. Clone the Repository
    First, clone the Gemini Coder GitHub repository:

    git clone https://github.com/osanseviero/geminiCoder

  2. Configure the Environment

    Create a .env file in the project root directory and add your Google AI Studio API key:

    GOOGLE_AI_API_KEY=your_api_key_here

  3. Install Dependencies and Run

    Install project dependencies and start the local development server:

    npm install
npm run dev

  4. Access the Application Open a browser and visit http://localhost:3000 to start using Gemini Coder.

    Resources
    HuggingFace Repository: https://huggingface.co/spaces/osanseviero/gemini-coder
    GitHub Repository: https://github.com/osanseviero/geminiCoder
    Gemini API Documentation: https://ai.google.dev/gemini-api/docs
    Sandpack Documentation: https://sandpack.codesandbox.io/

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