Gemini Coder
G
Gemini Coder
Overview :
Gemini Coder is a project based on the Gemini API, aimed at generating small applications from simple prompts. The project is entirely built on llamacoder and utilizes technologies such as Next.js and Tailwind. It allows users to quickly create applications that can be run and tested locally. Although it is an individual project and not an official Google product, it showcases the potential of utilizing advanced APIs for application development.
Target Users :
Target audience includes developers and programming enthusiasts, especially those interested in leveraging the latest API technologies for rapid application development. Gemini Coder offers a platform for experimentation and learning, enabling developers to quickly prototype and test new ideas.
Total Visits: 474.6M
Top Region: US(19.34%)
Website Views : 53.8K
Use Cases
Developers using Gemini Coder to create a simple to-do application.
Programming enthusiasts leveraging the project to learn the latest APIs and front-end technologies.
Educators using Gemini Coder as a teaching tool to demonstrate API-driven application development to students.
Features
Rapidly generate applications using the Gemini API.
Supports Gemini 1.5 Pro, Gemini 1.5 Flash, and Gemini 2.0 Flash Experimental.
Integrates Sandpack code sandbox.
Uses Next.js application router and Tailwind CSS.
Can be run and tested locally after cloning the repository.
Requires configuration with a Google AI Studio API key.
Provides detailed cloning and running instructions.
How to Use
1. Clone the repository: Run `git clone https://github.com/osanseviero/geminicoder` in your terminal.
2. Create an environment variable file: At the root of the project, create a `.env` file and add your Google AI Studio API key in the format `GOOGLE_AI_API_KEY=your_API_key`.
3. Install dependencies: In the project directory, run `npm install` to install all the dependencies.
4. Run the project: Execute `npm run dev` to start the local development server.
5. Access the application: Visit `http://localhost:3000` in your browser to view the application.
6. Begin development: Start building your application using the Gemini API and the provided codebase.
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase