A revolutionary approach to generating ultra-efficient code using AI language models, demonstrated through a complex browser-based idle game.
Note: This project is intentionally hosted via Claude's artifact system to demonstrate the complete, self-contained nature of the AI-generated code. While traditional deployment methods were considered, maintaining the code in its original form better showcases the optimization techniques achieved through AI prompting.
Try the Game • Read the Article • Follow Me
This project showcases a novel technique for instructing AI language models (specifically Claude) to generate highly optimized, efficient code. The approach is demonstrated through a fully-functional idle game featuring:
- Real-time particle physics
- Complex game mechanics
- Resource management
- Visual effects
- All in a single, optimized codebase
- Ultra-Efficient Code Generation: Novel prompting techniques for AI that result in extremely optimized code
- Advanced Game Mechanics: Complete game system with upgrades, particle effects, and resource management
- Innovative AI Interaction: New paradigm for teaching AI models to generate efficient code
- React
- TypeScript
- Tailwind CSS
- Canvas API
- Claude AI
.
├── src/
│ ├── game/ # Core game components
│ │ ├── engine.tsx # Game engine and physics
│ │ └── ui.tsx # UI components
│ └── prompts/ # AI prompting system
│ ├── base.md # Base prompting template
│ └── optimized.md # Optimization instructions
├── docs/ # Documentation
│ ├── ARTICLE.md # Medium article
│ └── OPTIMIZATION.md # Optimization guide
└── examples/ # Example implementations
// Traditional approach
const gameConfig = {
units: [{
identifier: 'cart',
name: 'Mining Cart',
cost: 15
}]
}
// Optimized approach
const G={U:[{i:'c',n:'Cart',c:15}]}- Clone the repository:
git clone https://github.com/yourusername/project-name.git- Install dependencies:
npm install- Run the development server:
npm run devContributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.
- Medium Article
- X-Twitter
I'm a developer interested in pushing the boundaries of AI-assisted development. This project represents my exploration into optimizing AI-generated code and teaching AI models new ways of approaching problems.
Give a ⭐️ if this project helped you!
Note: This project is part of my ongoing research into AI-assisted development. Feel free to reach out if you'd like to contribute or have questions!