Best AI Code Refactoring Tools for Hugging Face

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Compare the Top AI Code Refactoring Tools that integrate with Hugging Face as of July 2025

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This a list of AI Code Refactoring tools that integrate with Hugging Face. Use the filters on the left to add additional filters for products that have integrations with Hugging Face. View the products that work with Hugging Face in the table below.

What are AI Code Refactoring Tools for Hugging Face?

AI code refactoring tools are software tools that leverage artificial intelligence to automate the process of improving and restructuring existing code without changing its external behavior. These tools analyze the codebase for inefficiencies, inconsistencies, or redundant patterns and suggest or make changes that enhance readability, performance, and maintainability. By using machine learning algorithms, AI refactoring tools can also predict potential issues and offer solutions based on best coding practices. This process helps developers optimize their code while reducing the chances of introducing bugs during refactoring. Overall, AI-driven tools streamline the refactoring process, enabling faster and more efficient development cycles. Compare and read user reviews of the best AI Code Refactoring tools for Hugging Face currently available using the table below. This list is updated regularly.

  • 1
    bolt.diy

    bolt.diy

    bolt.diy

    bolt.diy is an open-source platform that enables developers to easily create, run, edit, and deploy full-stack web applications with a variety of large language models (LLMs). It supports a wide range of models, including OpenAI, Anthropic, Ollama, OpenRouter, Gemini, LMStudio, Mistral, xAI, HuggingFace, DeepSeek, and Groq. The platform offers seamless integration through the Vercel AI SDK, allowing users to customize and extend their applications with the LLMs of their choice. With its intuitive interface, bolt.diy is designed to simplify AI development workflows, making it a great tool for both experimentation and production-ready applications.
    1 Rating
    Starting Price: Free
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  • 2
    CodeQwen

    CodeQwen

    Alibaba

    CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.
    Starting Price: Free
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  • 3
    FauxPilot

    FauxPilot

    FauxPilot

    FauxPilot is an open source, self-hosted alternative to GitHub Copilot. It utilizes the SalesForce CodeGen models on NVIDIA's Triton Inference Server with the FasterTransformer backend for local code generation. It requires Docker, an NVIDIA GPU with sufficient VRAM, and the ability to split the model across multiple GPUs if needed. The setup involves downloading models from Hugging Face and converting them for FasterTransformer compatibility.
    Starting Price: Free
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