✨ Kittle

The Ultimate AI-Powered Code Intelligence Hub

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🚀 Overview

Kittle is an advanced AI coding assistant that lives where your code does. It provides a seamless interface to analyze repository structures, debug complex logic, and generate real-time architecture diagrams using state-of-the-art LLMs.

Designed for performance and privacy, Kittle runs entirely in your browser, connecting directly to your preferred AI providers.

🌟 Key Features

Feature	Description
🧠 Multi-Model Intelligence	Connect to Gemini 2.0/Thinking, GPT-4o, Claude 3.5, and DeepSeek R1 via direct API calls.
🎨 Design Mode	Instantly generate Mermaid.js architecture diagrams by chatting with your code.
📂 Context-Aware Analysis	Deep integration with your Local Files and GitHub Repositories.
🔒 Zero-Server Architecture	Your API keys never leave your browser. Privacy is baked into the core.
⚡ Ultra-Responsive UI	Built with Framer Motion for 60fps animations and a premium glassmorphic feel.

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🏗️ Architecture

Kittle is a pure static frontend application deployed via GitHub Actions.

graph TD
    User[👩‍💻 Developer] -->|Interacts| UI[🖥️ Kittle Web App]
    UI -->|Direct API Call| Providers[🧠 AI Providers]
    
    subgraph "Supported Providers"
        Providers --> Google[Google Gemini]
        Providers --> OpenAI[OpenAI GPT-4o]
        Providers --> Anthropic[Claude 3.5]
        Providers --> DeepSeek[DeepSeek R1/V3]
    end
    
    UI -->|LocalStorage| Keys[🔑 Secure Key Storage]
    UI -->|Mermaid.js| Charts[🎨 Visual Diagrams]

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🛠️ Getting Started

Prerequisites

• Node.js (v20+)
• npm

Installation

1. Clone the repository

   git clone https://github.com/TemRevil/Kittle.git
   cd Kittle

2. Install dependencies

   npm install

3. Run locally

   npm run dev

4. Deployment The project is configured for auto-deployment via GitHub Actions. Simply push to the main branch.

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🤝 Collaboration & Contributing

We ❤️ contributions! Whether you're fixing a bug, adding a provider, or improving the UI, your help is welcome.

How to contribute:

1. Fork the repository.
2. Create a branch for your feature: git checkout -b feature/amazing-logic.
3. Commit your changes: git commit -m 'Add some feature'.
4. Push to the branch: git push origin feature/amazing-logic.
5. Open a Pull Request.

Development Guidelines:

• Keep the UI premium and glassmorphic.
• Use Tailwind CSS v4 for styling.
• Ensure all AI calls remain client-side for privacy.

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_{Built with ❤️ by TemRevil}