List of the Top 7 AI Code Refactoring Tools for JetBrains Aqua in 2025

Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored for both solo developers and collaborative teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.

Windsurf is an innovative IDE built to support developers with AI-powered features that streamline the coding and deployment process. Cascade, the platform’s intelligent assistant, not only fixes issues proactively but also helps developers anticipate potential problems, ensuring a smooth development experience. Windsurf’s features include real-time code previewing, automatic lint error fixing, and memory tracking to maintain project continuity. The platform integrates with essential tools like GitHub, Slack, and Figma, allowing for seamless workflows across different aspects of development. Additionally, its built-in smart suggestions guide developers towards optimal coding practices, improving efficiency and reducing technical debt. Windsurf’s focus on maintaining a flow state and automating repetitive tasks makes it ideal for teams looking to increase productivity and reduce development time. Its enterprise-ready solutions also help improve organizational productivity and onboarding times, making it a valuable tool for scaling development teams.

Qodo, which was previously known as Codium, offers an analysis of your code to detect potential bugs prior to deployment. By mapping out the behaviors inherent in your code, it effectively pinpoints edge cases and highlights any areas of concern. Subsequently, Qodo produces clear and meaningful unit tests that align with your code's functionality. This allows you to observe how your code operates and assess the impact of modifications on the surrounding codebase. With a keen focus on code coverage, it emphasizes the importance of high-quality tests that validate functionality, thereby instilling confidence in your commitment to the code. Instead of spending excessive time on dubious testing, you can redirect your efforts toward developing features that genuinely benefit your users. As you write, Qodo analyzes your code, documentation, and comments to propose tests that can be easily integrated into your suite. Committed to maintaining code integrity, Qodo not only generates tests but also aids in deepening your understanding of the code, exposing edge cases, and identifying any suspicious behaviors, ultimately enhancing the robustness of your software. By using Qodo, you can ensure a more efficient development process, allowing you to prioritize quality alongside productivity.

The JetBrains AI Assistant seamlessly combines your integrated development environment (IDE) with both custom and third-party large language models (LLMs) designed for various functions. This synergy enables the AI Assistant to provide precise and context-aware assistance, facilitating tasks such as code snippet generation, the completion of complex code structures, and the efficient creation of automated tests. We are dedicated to maintaining the security of your data and code! The JetBrains AI Assistant ensures that your code snippets are kept confidential, as they are not stored or shared, regardless of their source, whether from public repositories, private repositories, or local files. Upholding the JetBrains AI Terms of Service is crucial to our operations, guaranteeing that neither we nor our associated service providers use your data or code to train generative AI models. Furthermore, this unwavering commitment to privacy and data integrity cultivates a reliable atmosphere for developers, encouraging innovation and creativity in their projects. By prioritizing these principles, we aim to build lasting trust with our users.

Goose, often called codename goose, is an open-source AI agent designed to run locally on computers, aimed at automating various engineering tasks within a terminal or integrated development environment (IDE). It streamlines processes such as code generation, debugging, and deployment, allowing developers to concentrate on more complicated problem-solving endeavors. The adaptable framework of Goose enables customization with a range of large language models (LLMs) and the incorporation of external APIs, which enhances its capabilities to cater to the distinct needs of diverse projects. By autonomously handling complex tasks, Goose simplifies the development process, ultimately boosting productivity and reducing the necessity for manual oversight. Users have highlighted the effectiveness of Goose in automating tasks such as dependency management, test execution, and code migration, reflecting its value in real-world applications. Moreover, as software development continues to advance, tools like Goose are becoming essential for sustaining efficiency amid the demands of a rapidly changing environment. In an era where speed and precision are paramount, leveraging such innovative tools can significantly influence a team's success in delivering high-quality software products.

Enhance the creation of robust and secure software by leveraging AI throughout all stages of the development lifecycle. GitLab Duo acts as an AI-powered ally intricately embedded within the GitLab framework, designed to elevate productivity and improve collaboration among software developers. It delivers intelligent code suggestions, assists with code refactoring and debugging, and streamlines processes by automating repetitive tasks. Moreover, GitLab Duo facilitates natural language queries concerning project management and development analytics, providing developers with a more user-friendly approach to interact with their code repositories. With compatibility with leading IDEs like JetBrains and Neovim, GitLab Duo ensures consistent support in the environments preferred by developers. By merging AI-enhanced productivity with GitLab's extensive DevSecOps functionalities, GitLab Duo equips teams to create exceptional software more swiftly while strengthening collaborative efforts. The introduction of this groundbreaking tool fundamentally changes the methodology teams utilize in software development, paving the way for more innovative practices and efficient workflows.

Amazon Q stands out as the premier generative AI-assisted tool tailored for software development endeavors. It significantly improves the software development lifecycle by enabling agents to independently perform a range of tasks, including feature implementation, documentation, testing, code reviews, refactoring, and overseeing software updates. With the Amazon Q Developer, navigating the intricacies of the development process becomes remarkably easier. This tool possesses extensive knowledge of AWS, helping users optimize their cloud expenditures and resources while providing guidance on optimal architectural practices, analyzing operational issues, and addressing networking difficulties. Furthermore, Amazon Q Developer agents support the transformation of extensive enterprise workloads, facilitating the transition of .NET applications from Windows to Linux, modernizing mainframe applications, migrating and upgrading VMware workloads, and enhancing Java applications, all with the goal of streamlining processes and reducing costs. Its adaptability and wide-ranging capabilities render it an essential resource for developers aiming to boost the efficiency and productivity of their projects, ultimately leading to more successful outcomes.