List of the Top 9 AI Code Refactoring Tools for Visual Studio in 2026

Devin Desktop is an AI-powered integrated development environment that enables developers to manage fleets of coding agents while maintaining complete control over the software development lifecycle. Built as the evolution of Windsurf, the platform combines advanced AI agents, a fully featured IDE, and collaborative workflow management into a single development experience. Developers can assign coding tasks to local or cloud-based agents, allowing autonomous execution of research, implementation, testing, debugging, optimization, and documentation activities. The platform's Agent Command Center provides centralized visibility into ongoing agent work, making it easier to coordinate multiple development efforts simultaneously. Features such as Spaces enable shared context and Git worktrees across agents, while Fast Context rapidly surfaces relevant code, files, and dependencies to accelerate development. Devin Desktop includes Supercomplete, which predicts developer intent beyond simple code completion, helping users work faster and remain focused. The platform supports multiple AI models and agent frameworks through the Agent Client Protocol, providing flexibility across different coding workflows and use cases. Extensive integrations with development, collaboration, monitoring, and project management tools allow organizations to connect AI-assisted development with their existing technology stack. Built-in code review, debugging, and traceability features ensure developers can inspect, validate, and refine every AI-generated change before deployment. The platform is designed for organizations that want to scale AI-assisted software engineering while maintaining visibility, governance, and code quality standards. Devin Desktop helps developers and engineering teams accelerate software delivery by combining autonomous AI execution with professional development tools and human oversight.

GitHub Copilot is an AI-powered developer platform designed to enhance productivity across the entire software development workflow. It works directly within IDEs, terminals, and GitHub to assist with coding, debugging, and collaboration. Copilot offers intelligent code completion, explanations, refactoring, and real-time suggestions. Developers can leverage agent-based capabilities to let Copilot autonomously handle tasks like writing code, creating pull requests, and responding to feedback. The platform supports multiple industry-leading AI models, giving teams flexibility in performance and cost optimization. Copilot CLI brings AI assistance to the command line for complex, context-aware workflows. Teams can customize Copilot with organizational knowledge to ensure consistency and shared best practices. Enterprise-grade controls allow administrators to manage access, monitor usage, and enforce governance. Secure MCP integrations help organizations control how external tools connect to Copilot. Copilot scales easily from individual developers to large enterprises. It integrates seamlessly with existing GitHub workflows and tools. GitHub Copilot ultimately helps teams build better software faster with AI as a collaborative partner.

Tabnine serves as an AI-driven coding assistant that empowers development teams of all sizes to leverage artificial intelligence, thereby enhancing and streamlining the software development lifecycle while ensuring privacy, security, and compliance are maintained. By automating various coding tasks, Tabnine elevates engineering productivity, improves code quality, and increases developer satisfaction, offering tailored AI solutions that cater to each team's unique needs. With over a million developers relying on it, Tabnine has gained trust across countless organizations. Providing top-tier AI code completion and a chat feature, Tabnine accommodates a wide array of applications, including code generation, code explanation, unit test creation, documentation generation, code debugging, refactoring, and overall code maintenance. It seamlessly integrates with all major integrated development environments (IDEs) like VS Code, JetBrains, Visual Studio, and Eclipse, while also supporting more than 80 programming languages and frameworks, such as JavaScript, TypeScript, Python, Java, C, C++, C#, Go, PHP, Ruby, Kotlin, Dart, Rust, and many others. This extensive compatibility enables developers to enhance their coding practices across diverse projects, making Tabnine a vital tool in the modern development landscape.

K.Explorer is an innovative AI tool designed to enhance software development by making the process quicker, more cost-effective, and more efficient. Acting as a coding companion, it boosts developer productivity significantly. This intelligent pair programmer provides real-time suggestions for code completions and even generates entire function bodies while you work. Additionally, users can utilize the search engine feature for additional support. Furthermore, this AI-driven Code Assistant has been developed using millions of lines of proprietary code alongside billions of lines of open-source code to ensure versatility. The integration of Natural Language processing enables programmers to receive tailored guidance and narrate the context of their coding journey. By combining these features, K.Explorer transforms the way developers approach coding tasks.

Amazon Q Developer is AWS’s most capable generative AI assistant for software development, engineered to enhance productivity across every phase of the build cycle. Available as a plugin for JetBrains, VS Code, Visual Studio, Eclipse, and the command line, it brings real-time code generation, debugging, and documentation directly into the developer’s workspace. Unlike simple autocomplete tools, its agentic capabilities allow it to autonomously complete complex tasks—implementing new features, performing code reviews, running tests, and upgrading legacy applications with minimal human input. It’s deeply integrated with the AWS ecosystem, offering expertise in cloud optimization, cost management, and operational diagnostics. Teams can engage Amazon Q in Slack, Microsoft Teams, GitHub, and GitLab for seamless collaboration, architecture guidance, and incident troubleshooting. The platform also supports data-driven development, helping users build analytics pipelines and machine learning workflows using natural language prompts. Its privacy-first design ensures that proprietary content is never used to train models, while AWS IAM-based access controls maintain enterprise security standards. Internal studies report up to 80% faster development speeds and a 37% acceptance rate for multi-line code suggestions—among the best in the industry. Whether upgrading Java apps, managing DevOps pipelines, or designing AI projects, Amazon Q Developer accelerates innovation while reducing friction. With flexible deployment and perpetual free access for limited use, it’s redefining the developer experience for the AI era.

Accelerate your app development process with a cutting-edge coding assistant powered by machine learning. This remarkable tool enhances the application building experience by delivering automated code suggestions that align with the existing code and comments in your integrated development environment (IDE). Developers can responsibly utilize artificial intelligence (AI) to produce applications that are not only syntactically accurate but also secure. Instead of searching for and tweaking code snippets from various sources, you can easily generate complete functions and logical blocks with just a few clicks. Stay immersed in your work without stepping outside the IDE, as you receive custom code suggestions in real-time for all your projects across languages like Java, Python, and JavaScript. Amazon CodeWhisperer is a machine learning-augmented service crafted to boost developer productivity through code recommendations informed by natural language comments and pre-existing code within the IDE. This innovative tool facilitates both frontend and backend development, saving valuable time by helping to generate code necessary for building and training your machine learning models, thereby simplifying the overall development workflow. With such advanced functionalities at their disposal, developers can push the boundaries of innovation more rapidly than ever before, transforming the way they approach coding challenges.

Refact.ai is a cutting-edge AI-driven assistant that seamlessly integrates with your IDE, delivering smart code completion, instant code suggestions, and automatic refactoring to optimize the coding experience. Leveraging an AI model tailored to your specific codebase, Refact.ai customizes its recommendations to align with your team's coding style, significantly boosting productivity. Developers have the flexibility to adjust the assistant's functionalities to cater to their individual needs, making it an invaluable resource for personalized coding support. Compatible with all major IDEs and offering secure on-premise deployment, Refact.ai not only enhances code quality but also minimizes the time spent on tedious manual tasks, leading to quicker project turnaround times. Ultimately, this innovative tool transforms the way developers approach coding, fostering a more efficient and enjoyable workflow.

Wing Python IDE is specifically designed to boost your productivity while developing in Python, allowing you to concentrate on writing minimal code as it takes care of the complex details for you. With Wing, you can enjoy instant feedback while you write your Python code in a live runtime environment, which greatly enhances the coding experience and efficiency. The IDE simplifies navigation through your code and its accompanying documentation, making it user-friendly. Its advanced code analysis features aid in avoiding common mistakes and detecting problems early, leading to a more efficient development cycle. You can keep your codebase organized thanks to intelligent refactoring tools and comprehensive quality checks. Debugging Python code is made easy, as you can analyze debug data and try out fixes interactively without needing to restart your application. Whether you're developing on a local machine, remote server, virtual machine, or within a container, Wing is adaptable to your specific requirements. With over two decades of experience in creating Python IDEs, Wingware has crafted a truly Pythonic development environment that stands out in the market. Entirely built using Python, Wing not only caters exclusively to Python developers but also offers extensibility through Python, allowing for enhanced productivity. The integration of its robust features and tools positions Wing as an essential tool for developers looking for an efficient Python coding experience, making it a go-to choice for both novice and seasoned programmers alike.

Visual Studio IntelliCode significantly improves the development experience by providing AI-enhanced assistance tailored to individual needs. By emphasizing the suggestions that are most likely to be relevant, it effectively streamlines the coding process. The recommendations are based on extensive data gathered from numerous open-source projects on GitHub, each with a minimum of 100 stars. When integrated with your current code, the completion suggestions are tailored to reflect best practices in coding. In addition to aiding in statement completion, IntelliCode offers signature assistance, presenting the most pertinent overload options in relation to the context. This tool not only delivers customized recommendations for your code but also simplifies the process of sharing insights among your team members. With the introduction of this preview feature, you can establish a team model that generates personalized suggestions for code beyond the open-source spectrum, which includes methods from your unique utility classes or specialized libraries. Moreover, by incorporating our build task into your development workflow, you can maintain up-to-date team completions that adapt to changes within the repository, ultimately fostering a more collaborative and efficient coding atmosphere. As a result, IntelliCode serves as an essential resource for developers seeking to enhance both their productivity and teamwork capabilities.