Analyze code to get insights
Answer questions and generate code
Example for running a multi-agent autogen workflow.
Display interactive code embeddings
Qwen2.5-Coder: Family of LLMs excels in code, debugging, etc
Generate code using text prompts
Generate code solutions to mathematical and logical problems
Generate code from text prompts
Generate code snippets based on your input
Highlight problematic parts in code
Generate code snippets using language models
Analyze Python GitHub repos or get GPT evaluation
Explore and modify a static web app
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.