Execute user-defined code
Convert a GitHub repo to a text file for any LLM to use
Execute custom Python code
Generate code suggestions and fixes with AI
Generate code suggestions from partial input
Generate code snippets using language models
50X better prompt, 15X time saved, 10X clear response
Get programming help from AI assistant
Generate code from images and text prompts
Complete code snippets with input
Generate code and text using Code Llama model
Generate bash/shell code with examples
Build customized LLM flows using drag-and-drop
LuminaBrush is an advanced AI-powered tool designed for code generation and execution. It enables users to seamlessly create, customize, and run user-defined code across various programming languages. Built with cutting-edge technology, LuminaBrush simplifies the coding process, making it faster and more efficient for developers of all skill levels.
• Multi-Language Support: Works with a wide range of programming languages, ensuring versatility for diverse projects.
• Customizable Code Templates: Allows users to define specific parameters and structures for tailored code generation.
• Intelligent Code Completion: Suggests and auto-completes code snippets based on context and user input.
• Real-Time Execution: Execute and test generated code within the platform, streamlining the development workflow.
• Collaboration Features: Share and collaborate on code with teammates seamlessly.
• Error Handling: Automatically identifies and highlights potential errors in the code.
What programming languages does LuminaBrush support?
LuminaBrush supports a wide range of programming languages, including Python, JavaScript, Java, C++, and more. The full list of supported languages is available in the documentation.
Can I share my code with others using LuminaBrush?
Yes, LuminaBrush offers collaboration features that allow you to share and work on code with teammates in real-time.
How does LuminaBrush handle errors in the code?
LuminaBrush includes advanced error handling capabilities that automatically detect and highlight potential issues in your code, helping you debug more efficiently.