AI Starter Template

AI Starter Template provides a modern Vue/Node integrated template to allow for rapid building and deployment using AI-enabled IDEs (Cursor, etc.) or leveraging key files with web interface chat protocols to rapidly build out and deploy fully functional apps for testing and evaluation This is a template to kickstart your journey! Fork it, build your app, and make it your own with a feature branch or a full fork.

Major Features

Whatever you decide

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Installation

Prerequisites

• Node.js: v20 or later recommended
• npm: v9+ (or yarn if preferred)
• Git: For cloning the repository
• Optional: nodemon for development server auto-restart

Setup Steps

1. Clone the Repository

   git clone https://github.com/developmentation/ai-starter-template.git
   cd ai-starter-template

2. Install Dependencies Using npm:

   npm install

3. Configure Environment

   • Copy the example .env file and add your API keys (e.g., LLM providers):

     cp .env.example .env

   • Edit .env with your keys, e.g.:

     OPENAI_API_KEY=your_openai_key
     PORT=3000
     

4. Start the Development Server

   • Install nodemon globally (if not already installed):

     npm install -g nodemon

     Or as a dev dependency:

     npm install --save-dev nodemon

   • Launch the server:

     nodemon index.js

5. Access the Application

   • Open your browser to http://localhost:3000 (or the port specified in .env).

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Usage

Provide users instructions on how to use this

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Technologies Used

• Vue.js 3.5: Reactive frontend with Composition API for scalable logic.
• Socket.IO: WebSocket-driven real-time communication.
• Tailwind CSS: Utility-first styling for a modern, responsive UI.
• Node.js: Server-side runtime.
• MongoDB: Backend data storage (optional, depending on fork).
• Mongoose: Backend document schemas and simplified Database interactions.
• LLM Providers: OpenAI, Anthropic, xAI, etc., for AI outputs.

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Contributing

Join the revolution! This template thrives on community input—report bugs, suggest features, or submit code to make it even better.

1. Fork the Repository

   • Click "Fork" on GitHub to create your copy.

2. Create a Feature Branch

   git checkout -b feature/YourFeatureName

3. Commit Your Changes

   git commit -m "Add your feature description"

4. Push to Your Branch

   git push origin feature/YourFeatureName

5. Open a Pull Request

   • Go to your forked repo on GitHub and click "New Pull Request" to submit your changes.

Ensure your code follows the project’s style guide (e.g., ESLint, Prettier) and passes tests before submitting.

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License

Licensed under the MIT License—free to use, modify, and share.