Best AI Code Refactoring Tools for Windows of 2025

Compare the Top AI Code Refactoring Tools for Windows as of June 2025

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What are AI Code Refactoring Tools for Windows?

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 Windows currently available using the table below. This list is updated regularly.

1

Claude

Anthropic

Claude is an artificial intelligence large language model that can process and generate human-like text. Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Large, general systems of today can have significant benefits, but can also be unpredictable, unreliable, and opaque: our goal is to make progress on these issues. For now, we’re primarily focused on research towards these goals; down the road, we foresee many opportunities for our work to create value commercially and for public benefit.

1 Rating

Starting Price: Free

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2

BLACKBOX AI

BLACKBOX AI

BLACKBOX AI is an advanced AI-powered platform designed to accelerate coding, app development, and deep research tasks. It features an AI Coding Agent that supports real-time voice interaction, GPU acceleration, and remote parallel task execution. Users can convert Figma designs into functional code and transform images into web applications with minimal coding effort. The platform enables screen sharing within IDEs like VSCode and offers mobile access to coding agents. BLACKBOX AI also supports integration with GitHub repositories for streamlined remote workflows. Its capabilities extend to website design, app building with PDF context, and image generation and editing.

1 Rating

Starting Price: Free

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3

Goose

Block

Goose (also known as codename goose) is an open-source, on-machine AI agent designed to automate engineering tasks directly within your terminal or integrated development environment (IDE). Operating locally, it efficiently executes tasks such as code generation, debugging, and deployment, allowing developers to focus on higher-level problem-solving. Goose's extensible architecture enables customization with preferred large language models (LLMs) and integration with external APIs, enhancing its capabilities to suit diverse project requirements. By autonomously handling complex tasks, Goose streamlines the development process, increasing productivity and reducing manual effort. Developers have praised Goose for its ability to manage tasks like updating dependencies, running tests, and automating code migrations, highlighting its effectiveness in real-world applications.

1 Rating

Starting Price: Free

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4

Claude Sonnet 3.7

Anthropic

Claude Sonnet 3.7, developed by Anthropic, is a cutting-edge AI model that combines rapid response with deep reflective reasoning. This innovative model allows users to toggle between quick, efficient responses and more thoughtful, reflective answers, making it ideal for complex problem-solving. By allowing Claude to self-reflect before answering, it excels at tasks that require high-level reasoning and nuanced understanding. With its ability to engage in deeper thought processes, Claude Sonnet 3.7 enhances tasks such as coding, natural language processing, and critical thinking applications. Available across various platforms, it offers a powerful tool for professionals and organizations seeking a high-performance, adaptable AI.

1 Rating

Starting Price: Free

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5

Claude Code

Anthropic

Claude Code is an AI-driven coding tool introduced by Anthropic as part of the Claude 3.7 Sonnet update. It allows developers to automate complex engineering tasks directly from the terminal, functioning as an active collaborator. Claude Code can read and search through code, edit files, run tests, commit and push code to GitHub, and execute command-line operations. Early testing has demonstrated its ability to complete tasks in a fraction of the time it would normally take manually, such as performing large-scale refactoring or debugging issues. While still in its research preview, Claude Code is already seen as indispensable for speeding up development workflows and enhancing test-driven development.

1 Rating

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6

SuperAGI SuperCoder

SuperAGI

SuperAGI SuperCoder is an open-source autonomous system that combines AI-native dev platform & AI agents to enable fully autonomous software development starting with python language & frameworks SuperCoder 2.0 leverages LLMs & Large Action Model (LAM) fine-tuned for python code generation leading to one shot or few shot python functional coding with significantly higher accuracy across SWE-bench & Codebench As an autonomous system, SuperCoder 2.0 combines software guardrails specific to development framework starting with Flask & Django with SuperAGI’s Generally Intelligent Developer Agents to deliver complex real world software systems SuperCoder 2.0 deeply integrates with existing developer stack such as Jira, Github or Gitlab, Jenkins, CSPs and QA solutions such as BrowserStack /Selenium Clouds to ensure a seamless software development experience

Starting Price: Free

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7

SWE-agent

SWE-agent

SWE-agent is an advanced AI-powered tool designed to automate various tasks such as fixing GitHub issues, performing cybersecurity operations like Capture The Flag (CTF) challenges, and solving coding problems. By leveraging language models such as GPT-4 or Claude, it interacts with isolated computer environments to carry out tasks autonomously, providing highly customizable solutions for developers and cybersecurity professionals. The platform supports a wide range of use cases, from improving software repositories to identifying vulnerabilities, and even executing custom tasks. Developed by researchers from Princeton and Stanford University, SWE-agent offers a powerful way to integrate machine learning with practical problem-solving in both software development and security fields.

Starting Price: Free

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