Lucifer Code 🔥

Your AI Coding Companion in VS Code

Lucifer Code is a powerful VS Code extension that integrates AI capabilities directly into your development workflow. Generate code, explain complex logic, optimize performance, and debug issues with the power of AI.

Features

🚀 Code Generation

• Generate code from natural language descriptions
• Context-aware code generation based on your current file
• Support for multiple programming languages

🧠 Code Explanation

• Get detailed explanations of selected code
• Break down complex algorithms and logic
• Perfect for learning and code reviews

⚡ Code Optimization

• Optimize code for performance and readability
• Get suggestions for best practices
• Choose to replace code or view suggestions

🐛 Code Debugging

• AI-powered debugging assistance
• Analyze code for potential issues
• Get solutions and explanations for errors

Installation

1. Install the extension from the VS Code marketplace
2. Configure your API key in VS Code settings
3. Start coding with AI assistance!

Configuration

Before using Lucifer Code, you need to configure your LLM provider settings:

1. Open VS Code Settings (Ctrl+, or Cmd+,)
2. Search for "Lucifer Code"
3. Configure the following settings:

Required Settings

• API Key: Your LLM provider API key
• Provider: Choose your LLM provider (OpenAI, Claude, Mistral, Ollama)
• Model: Specify the model to use (e.g., gpt-3.5-turbo, gpt-4, claude-3-opus)
• Base URL: API endpoint URL (default works for OpenAI)

Supported Providers

OpenAI

{
  "luciferCode.provider": "openai",
  "luciferCode.apiKey": "your-openai-api-key",
  "luciferCode.model": "gpt-3.5-turbo",
  "luciferCode.baseUrl": "https://api.openai.com/v1"
}

Claude (Anthropic)

{
  "luciferCode.provider": "claude",
  "luciferCode.apiKey": "your-claude-api-key",
  "luciferCode.model": "claude-3-opus-20240229",
  "luciferCode.baseUrl": "https://api.anthropic.com/v1"
}

Ollama (Local)

{
  "luciferCode.provider": "ollama",
  "luciferCode.apiKey": "not-required",
  "luciferCode.model": "codellama",
  "luciferCode.baseUrl": "http://localhost:11434/v1"
}

Usage

Command Palette

Access all Lucifer Code features through the Command Palette (Ctrl+Shift+P or Cmd+Shift+P):

• Lucifer Code: Generate Code from Idea - Generate code from natural language
• Lucifer Code: Explain Selected Code - Get explanations for selected code
• Lucifer Code: Optimize Selected Code - Optimize and improve selected code
• Lucifer Code: Debug Code - Get debugging assistance for selected code

Workflows

1. Generate Code

1. Open the Command Palette
2. Run "Lucifer Code: Generate Code from Idea"
3. Describe what you want to build
4. The generated code will be inserted at your cursor

2. Explain Code

1. Select the code you want explained
2. Run "Lucifer Code: Explain Selected Code"
3. View the explanation in a new document

3. Optimize Code

1. Select the code you want to optimize
2. Run "Lucifer Code: Optimize Selected Code"
3. Choose to replace the code or view suggestions

4. Debug Code

1. Select the problematic code
2. Run "Lucifer Code: Debug Code"
3. Optionally describe the issue you're experiencing
4. View debugging analysis and solutions

Examples

Code Generation

Input: "Create a React component for a todo list with add, delete, and toggle functionality"

Output: Complete React component with state management and event handlers

Code Explanation

Input: Complex algorithm or unfamiliar code

Output: Step-by-step breakdown with explanations

Code Optimization

Input: Inefficient or poorly structured code

Output: Optimized version with performance improvements

Debugging

Input: Code with errors or unexpected behavior

Output: Analysis of potential issues and solutions

Tips for Best Results

1. Be Specific: Provide clear, detailed descriptions when generating code
2. Context Matters: The extension considers your current file context
3. Select Precisely: When explaining or optimizing, select the exact code you want analyzed
4. Describe Issues: When debugging, describe the problem you're experiencing

Troubleshooting

Common Issues

"API key not configured"

• Ensure you've set your API key in VS Code settings
• Check that the key is valid and has sufficient credits/permissions

"Network error: Unable to reach LLM API"

• Check your internet connection
• Verify the base URL is correct for your provider
• For Ollama, ensure the local server is running

"LLM API Error: 401"

• Your API key is invalid or expired
• Check your provider's dashboard for key status

"LLM API Error: 429"

• You've exceeded rate limits
• Wait a moment and try again
• Consider upgrading your API plan

Getting Help

If you encounter issues:

1. Check the VS Code Developer Console for detailed error messages
2. Verify your configuration settings
3. Test with a simple request first
4. Check your API provider's status page

Privacy and Security

• Your code is sent to the configured LLM provider for processing
• API keys are stored locally in VS Code settings
• No code is stored or logged by the extension
• Review your LLM provider's privacy policy for data handling details

Contributing

Lucifer Code is open source! Contributions are welcome:

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

MIT License - see LICENSE file for details

Changelog

v0.0.1

• Initial release
• Basic AI integration with OpenAI, Claude, Mistral, and Ollama support
• Code generation, explanation, optimization, and debugging features
• Configurable settings for different LLM providers

Happy Coding with Lucifer Code! 🔥

Transform your development workflow with the power of AI