Analyze code to get insights
Convert your PEFT LoRA into GGUF
Example for running a multi-agent autogen workflow.
Generate code snippets from descriptions
Execute custom Python code
Execute custom code from environment variable
Execute... Python commands and get the result
Provide a link to a quantization notebook
Execute user-defined code
Apply the Zathura-based theme to your VS Code
Scratched Photo Fixer upscaler AI Restoration
Generate code snippets and answer programming questions
LLMSniffer is an advanced tool designed to analyze code and provide insights for more efficient and effective code generation. It leverages cutting-edge technology to understand code patterns, detect issues, and offer recommendations. Whether you're a developer, researcher, or AI enthusiast, LLMSniffer is a powerful companion for improving your coding workflow.
• Code Analysis: Deeply examines code structure and syntax to identify patterns and potential improvements.
• Insight Generation: Provides actionable insights to refine code quality, readability, and performance.
• Pattern Detection: Automatically identifies recurring patterns in code to suggest optimizations.
• Integration-Friendly: Compatible with popular development environments and tools.
• Real-Time Feedback: Offers immediate suggestions as you code, enhancing productivity.
• Customization Options: Tailor the analysis to fit your specific coding style and requirements.
What type of code can LLMSniffer analyze?
LLMSniffer supports a wide range of programming languages, including Python, Java, C++, and JavaScript.
How do I integrate LLMSniffer into my development workflow?
You can integrate LLMSniffer via APIs or plugins available for popular IDEs like Visual Studio Code and IntelliJ.
Can I customize the insights provided by LLMSniffer?
Yes, LLMSniffer allows you to define custom rules and parameters to tailor the analysis to your specific needs.