List of the Top 3 AI Code Refactoring Tools for Code Llama in 2025

BLACKBOX AI is an innovative AI-powered development platform designed to dramatically enhance productivity in coding, app creation, and research by leveraging cutting-edge AI technologies. At its core is the AI Coding Agent, the world’s first to offer real-time voice interaction and direct access to high-performance GPUs like NVIDIA A100s, H100s, and V100s, enabling rapid code execution and parallel task handling. Developers can convert Figma UI designs into fully functional code automatically, and effortlessly transform images into web applications with minimal manual intervention. The platform integrates directly with popular development environments such as VSCode, allowing users to share screens and collaborate in real-time. BLACKBOX AI supports cloud-based remote coding, with direct GitHub repository access for executing tasks at scale and maintaining seamless workflows. Mobile support empowers developers to utilize the coding agent from anywhere, breaking traditional location constraints. Additional features include building applications with embedded PDF context, generating and editing images, and designing complete websites with AI-assisted implementation. The platform’s deep research capabilities autonomously scan over 50 web pages to create detailed analysis and plans within minutes. By combining AI coding, design automation, and remote collaboration, BLACKBOX AI streamlines the entire software development lifecycle. It is an essential tool for developers, designers, and teams aiming to accelerate innovation and reduce manual workloads.

Tabby serves as a self-hosted, open-source AI coding assistant designed to enhance your development process through features like intelligent code completion, real-time suggestions, and seamless integration with your chosen integrated development environment (IDE). By deploying Tabby on your own servers, you gain the benefits of enhanced security and greater control over your codebase. It is designed to work with popular large language models (LLMs) such as CodeLlama, StarCoder, and CodeGen, which enables it to tailor its assistance to fit your individual coding style while providing accurate and context-aware support. No matter if you’re working independently or as part of a team, Tabby efficiently simplifies your coding tasks, reduces the likelihood of errors, and accelerates project delivery times. Its intuitive interface and customizable features distinguish Tabby as a vital resource for developers seeking to elevate their coding productivity. Overall, Tabby not only enhances coding efficiency but also fosters a more enjoyable and streamlined development experience.

CodeQwen acts as the programming equivalent of Qwen, a collection of large language models developed by the Qwen team at Alibaba Cloud. This model, which is based on a transformer architecture that operates purely as a decoder, has been rigorously pre-trained on an extensive dataset of code. It is known for its strong capabilities in code generation and has achieved remarkable results on various benchmarking assessments. CodeQwen can understand and generate long contexts of up to 64,000 tokens and supports 92 programming languages, excelling in tasks such as text-to-SQL queries and debugging operations. Interacting with CodeQwen is uncomplicated; users can start a dialogue with just a few lines of code leveraging transformers. The interaction is rooted in creating the tokenizer and model using pre-existing methods, utilizing the generate function to foster communication through the chat template specified by the tokenizer. Adhering to our established guidelines, we adopt the ChatML template specifically designed for chat models. This model efficiently completes code snippets according to the prompts it receives, providing responses that require no additional formatting changes, thereby significantly enhancing the user experience. The smooth integration of these components highlights the adaptability and effectiveness of CodeQwen in addressing a wide range of programming challenges, making it an invaluable tool for developers.