Generate code from a description
Submit code models for evaluation on benchmarks
Apply the Zathura-based theme to your VS Code
Qwen2.5-Coder: Family of LLMs excels in code, debugging, etc
Run Python code to see output
Example for running a multi-agent autogen workflow.
Upload Python code to get detailed review
Generate app code using text input
Execute custom code from environment variable
Generate application code with Qwen2.5-Coder-32B
Execute custom Python code
Generate code snippets for web development
Generate code with AI chatbot
Qwen2.5 Coder Artifacts is a code generation tool designed to help developers create code from descriptions. It leverages advanced AI technology to streamline the coding process, making it easier and faster to generate high-quality code. Whether you're working on a new project or refining existing code, Qwen2.5 Coder Artifacts provides a user-friendly interface and powerful features to meet your coding needs.
What languages does Qwen2.5 Coder Artifacts support?
Qwen2.5 Coder Artifacts supports a wide range of programming languages, including Python, Java, JavaScript, C++, and more. The full list of supported languages is available in the documentation.
Can I customize the code generation process?
Yes, Qwen2.5 Coder Artifacts allows you to use custom templates and adjust settings to tailor the code generation process to your specific needs.
How do I handle errors in the generated code?
The tool includes built-in error checking to help identify issues. If you encounter errors, you can review the generated code, make adjustments, and regenerate as needed. Additionally, you can provide feedback to improve future generations.