Best AI Code Refactoring Tools for GitHub

Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support both individual developers and teams, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.

Windsurf is a cutting-edge IDE designed for developers to maintain focus and productivity through AI-driven assistance. At the heart of the platform is Cascade, an intelligent agent that not only fixes bugs and errors but also anticipates potential issues before they arise. With built-in features for real-time code previews, automatic linting, and seamless integrations with popular tools like GitHub and Slack, Windsurf streamlines the development process. Developers can also benefit from memory tracking, which helps Cascade recall past work, and smart suggestions that enhance code optimization. Windsurf’s unique capabilities ensure that developers can work faster and smarter, reducing onboarding time and accelerating project delivery.

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.

Introducing your AI coding companion: GitHub Copilot, which provides whole line or entire function suggestions directly within your coding environment. Drawing from billions of lines of publicly available code, GitHub Copilot ensures that essential knowledge is always at your disposal, allowing you to save valuable time and maintain your concentration. Currently accessible as an extension for Visual Studio Code, it operates seamlessly both on your local machine and in the cloud via GitHub Codespaces. Its responsiveness allows you to receive suggestions in real-time as you type. Supporting a wide array of frameworks and programming languages, the technical preview excels particularly in Python, JavaScript, TypeScript, Ruby, and Go, while also having the capability to assist with numerous other languages. With GitHub Copilot, you maintain complete control over the coding process, as you can sift through various suggestions, decide which ones to implement or dismiss, and make manual adjustments to the proposed code. Additionally, GitHub Copilot fine-tunes its recommendations based on your coding style, ensuring a more personalized programming experience. This innovative tool truly empowers developers by enhancing productivity and creativity in their coding endeavors. GitHub Copilot Coding Agent simplifies the software development process by automating low-to-medium complexity tasks such as bug fixes, feature additions, and code refactoring. Integrated directly into GitHub, the agent operates in the background when issues are assigned, using GitHub Actions to run a fully customizable development environment.

Tabnine is the AI coding assistant that you control — helping development teams of every size use AI to accelerate and simplify the software development process without sacrificing privacy, security, or compliance. Tabnine boosts engineering velocity, code quality, and developer happiness by automating the coding workflow through AI tools customized to your team. Tabnine is trusted by more than 1,000,000 developers across thousands of organizations. Tabnine offers best-in-class AI code completion and an AI-powered chat and supports numerous use cases such as code generation, explanation of code, creating unit tests, generating documentation, debugging code, refactoring and maintaining code. Tabnine is integrated with all the major IDEs such as VS Code, JetBrains, Visual Studio, Eclipse. It supports over 80 programming languages and frameworks including JavaScript, TypeScript, Python, Java, C, C++, C#, Go, Php, Ruby, Kotlin, Dart, Rust, React/Vue, HTML 5, CSS, Lua, Perl, YAML, Cuda, SQL, Scala, Shell (bash), Swift, R, Julia, VB, Groovy, Matlab, Terraform, ABAP and more.

Explore the AI Pair Programming extension designed for VSCode, enabling you to craft your own AI Copilots using the Playground and launch innovative AI applications through the API. Harness the potential of personalized AI agents by integrating tailored context and knowledge applicable to various programming languages. Train your AI Copilot effortlessly with your own files in the Playground, allowing you to create and share a Copilot in a mere five minutes, or develop custom AI solutions seamlessly via the API. This free extension for VS Code enhances your coding experience with a chat assistant and code completion features; simply download it, input your API key, and start coding with AI at no cost. This upgraded solution empowers users to create AI agents enriched with specific contextual information, enabling you to design bespoke AI copilots that can be integrated anywhere. The API connection simplifies the development of AI-driven applications by managing the intricacies of fine-tuning large language models, allowing you to concentrate on creativity rather than technical challenges. With these tools at your disposal, you can redefine your programming workflow and push the boundaries of what's possible in software development.

Enhance the speed and efficiency of software development and delivery by leveraging generative AI support, all while ensuring robust enterprise security and privacy safeguards. Gemini Code Assist streamlines your coding process by completing your code as you type and can generate entire code blocks or functions upon request. This powerful code assistance tool is compatible with a variety of popular integrated development environments (IDEs) like Visual Studio Code and JetBrains IDEs (including IntelliJ, PyCharm, GoLand, and WebStorm), as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 programming languages such as Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Utilizing a natural language chat interface, you can easily interact with Gemini Code Assist to obtain solutions to your coding queries or gain insights into coding best practices, with chat functionality accessible across all supported IDEs. Organizations have the flexibility to tailor Gemini Code Assist by integrating their private codebases and knowledge repositories, enabling the tool to provide more personalized assistance that aligns with specific enterprise needs. Furthermore, Gemini Code Assist has the capability to facilitate extensive modifications across entire codebases, thereby optimizing the development workflow significantly. This adaptability not only boosts productivity but also empowers teams to innovate more rapidly in a secure environment.

Accelerate your coding experience and maintain your creative momentum with Kite, which integrates AI-driven code completions into your preferred code editor, effectively granting developers extraordinary capabilities. By downloading the Kite engine, you can enhance any code editor with advanced AI completions, compatible with over 16 programming languages and code editors. Enjoy rapid, context-sensitive suggestions that empower your coding process, allowing for longer multi-line completions in scenarios where you might usually struggle. As you code more efficiently, Kite's AI can reduce your keystrokes by as much as 47%, streamlining your workflow significantly. Access Python documentation effortlessly with a simple click or mouse hover, and discover useful examples and tutorials at your fingertips. Additionally, you can swiftly locate files in your codebase that are pertinent to the current file you are working on, ultimately boosting productivity for thousands of developers. With Kite, you not only code faster but also enhance your overall development experience.

Claude represents a sophisticated artificial intelligence language model capable of understanding and producing text that resembles human communication. Anthropic is an organization dedicated to AI safety and research, aiming to develop AI systems that are not only dependable and understandable but also controllable. While contemporary large-scale AI systems offer considerable advantages, they also present challenges such as unpredictability and lack of transparency; thus, our mission is to address these concerns. Currently, our primary emphasis lies in advancing research to tackle these issues effectively; however, we anticipate numerous opportunities in the future where our efforts could yield both commercial value and societal benefits. As we continue our journey, we remain committed to enhancing the safety and usability of AI technologies.

BLACKBOX AI is a powerful AI-driven platform that revolutionizes software development by providing a fully integrated AI Coding Agent with unique features such as voice interaction, direct GPU access, and remote parallel task processing. It simplifies complex coding tasks by converting Figma designs into production-ready code and transforming images into web apps with minimal manual effort. The platform supports seamless screen sharing within popular IDEs like VSCode, enhancing developer collaboration. Users can manage GitHub repositories remotely, running coding tasks entirely in the cloud for scalability and efficiency. BLACKBOX AI also enables app development with embedded PDF context, allowing the AI agent to understand and build around complex document data. Its image generation and editing tools offer creative flexibility alongside development features. The platform supports mobile device access, ensuring developers can work from anywhere. BLACKBOX AI aims to speed up the entire development lifecycle with automation and AI-enhanced workflows.

GoCodeo is a comprehensive AI platform for developers that accelerates coding, testing, and debugging processes. The platform integrates with VS Code to offer real-time assistance, from generating code snippets to automatically creating unit tests. GoCodeo’s AI-driven tools also provide debugging insights, enabling developers to identify and fix issues faster. With support for multiple programming languages and frameworks, GoCodeo empowers developers to write high-quality, production-ready code with less effort, streamlining development cycles and enhancing efficiency across projects.

Goose, also referred to as codename goose, is an open-source AI agent that operates locally on machines, designed to facilitate the automation of engineering tasks within a terminal or integrated development environment (IDE). By efficiently performing functions such as code creation, debugging, and deployment, it allows developers to shift their focus towards more complex problem-solving activities. Its flexible architecture supports customization with various large language models (LLMs) and the integration of external APIs, which broadens its functionality to meet the unique demands of different projects. By taking on intricate tasks autonomously, Goose simplifies the development workflow, thereby enhancing overall productivity and minimizing the need for manual intervention. Users have expressed appreciation for Goose's capabilities in managing responsibilities like dependency updates, test execution, and code migration automation, underscoring its usefulness in practical scenarios. Furthermore, as the landscape of software development evolves, tools like Goose are becoming increasingly vital for maintaining efficiency in a fast-paced environment.

Claude Sonnet 3.7, a state-of-the-art AI model by Anthropic, is designed for versatility, offering users the option to switch between quick, efficient responses and deeper, more reflective answers. This dynamic model shines in complex problem-solving scenarios, where high-level reasoning and nuanced understanding are crucial. By allowing Claude to pause for self-reflection before answering, Sonnet 3.7 excels in tasks that demand deep analysis, such as coding, natural language processing, and critical thinking applications. Its flexibility makes it an invaluable tool for professionals and organizations looking for an adaptable AI that delivers both speed and thoughtful insights.

Workik's AI code generator is a multifaceted solution that simplifies the software development process by automating tasks such as code generation, debugging, testing, and migration across a range of programming languages and frameworks. It boasts functionalities like rapid code generation, customizable context integration with APIs, libraries, codebases, and database schemas, as well as support for cross-language coding and smooth compatibility with leading EHR systems. Designed with productivity enhancement in mind, Workik seamlessly fits into current workflows, aiming for minimal disruption during implementation. Furthermore, Workik adheres to HIPAA regulations, ensuring that patient information is protected with top-tier security protocols. Users have the ability to pre-define the AI engine's context and behavior, tailoring its responses to align with their unique programming style, database design, and specific project requirements. Additionally, the context-setting capability enables developers to incorporate their existing codebase context, allowing them to continue development without losing momentum. This innovative approach not only increases efficiency but also fosters a more cohesive development environment.

Devin is an advanced software development assistant powered by AI, created to work in tandem with engineering teams to streamline and enhance coding processes. It assists with various tasks such as initiating repositories, coding, debugging errors, and executing migrations, functioning either independently or in collaboration with human developers. Over time, Devin improves its efficiency by learning from provided examples. Its implementation has resulted in substantial time and financial savings on extensive projects, exemplified by its use at Nubank, where it achieved migration speeds 8 to 12 times faster and cut costs by more than 20 times. Additionally, Devin excels in both refactoring code and automating repetitive engineering tasks, making it an invaluable tool for developers looking to optimize their workflow. Its ability to continuously adapt ensures that it remains an essential asset in the ever-evolving landscape of software development.

Anthropic has launched Claude Code, an AI-powered coding assistant, as part of the Claude 3.7 Sonnet update. This innovative tool enables developers to streamline intricate engineering processes directly from their terminal, acting as a collaborative partner in the coding journey. Claude Code possesses the capability to analyze and navigate through code, modify files, execute tests, as well as commit and push updates to GitHub, while also handling command-line tasks. Initial evaluations have showcased its remarkable efficiency, completing tasks like large-scale code refactoring and debugging in a significantly shorter timeframe than traditional methods. Although it is currently in a research preview stage, Claude Code is already regarded as a crucial asset for accelerating development timelines and improving the practice of test-driven development. Its advanced functionalities suggest a promising future for enhancing software engineering productivity.

SuperAGI SuperCoder is an innovative open-source autonomous platform that merges an AI-driven development environment with AI agents, facilitating fully autonomous software creation, beginning with the Python language and its frameworks. The latest iteration, SuperCoder 2.0, utilizes large language models and a Large Action Model (LAM) that has been specially fine-tuned for Python code generation, achieving remarkable accuracy in one-shot or few-shot coding scenarios, surpassing benchmarks like SWE-bench and Codebench. As a self-sufficient system, SuperCoder 2.0 incorporates tailored software guardrails specific to development frameworks, initially focusing on Flask and Django, while also utilizing SuperAGI’s Generally Intelligent Developer Agents to construct intricate real-world software solutions. Moreover, SuperCoder 2.0 offers deep integration with popular tools in the developer ecosystem, including Jira, GitHub or GitLab, Jenkins, and cloud-based QA solutions like BrowserStack and Selenium, ensuring a streamlined and efficient software development process. By combining cutting-edge technology with practical software engineering needs, SuperCoder 2.0 aims to redefine the landscape of automated software development.

Tabby is a self-hosted, open-source AI coding assistant that aims to improve your development workflow by offering intelligent code completion, real-time suggestions, and smooth integration with your preferred integrated development environment (IDE). You can deploy Tabby on your own servers, which gives you the advantage of security and control over your codebase. It is compatible with major coding large language models (LLMs) such as CodeLlama, StarCoder, and CodeGen, allowing it to adapt to your unique coding style while delivering precise and context-sensitive support. Whether you are coding solo or collaborating in a team setting, Tabby not only streamlines your coding tasks but also minimizes errors and speeds up project timelines. With its user-friendly features and customizable options, Tabby stands out as an essential tool for developers looking to optimize their coding experience.

Experience a privacy-centric approach to pull request evaluations that offers detailed code recommendations on each line and an evolving interactive chat feature. The changes within the pull request are summarized effectively, making it easier to grasp the purpose behind the modifications. Automated release notes are generated, ensuring they can be seamlessly integrated into your release documentation. Each code alteration is scrutinized with a thorough analysis, providing clear and actionable feedback that's ready for implementation. You can engage with the bot by asking questions directly within your code and supplying additional context for it to generate code snippets. As your conversations with the bot increase, its intelligence grows, leading to quicker review cycles and high-caliber suggestions for code changes. Your information remains private, allowing it to tailor the review process to your needs. This system continually adapts based on your interactions, enhancing the relevance of its recommendations to match your coding style and preferences over time.

Fine is an innovative platform driven by artificial intelligence, aimed at supporting startups by automating various tasks in the software development lifecycle. This platform provides a variety of AI agent workflows that facilitate coding, debugging, testing, and code review, enabling teams to release daily updates and expedite the resolution of pull requests. Fine has the capability to independently generate and apply code, perform pull request assessments, create tests, and manage typical challenges without the need for constant oversight from human developers. It integrates smoothly with GitHub and is designed to accommodate asynchronous collaboration, making it an ideal choice for dynamic startup environments. Additionally, Fine offers real-time feedback and live previews, which not only enhance productivity but also optimize the overall development workflow. By leveraging such advanced features, teams can focus more on strategic tasks while the platform handles routine operations efficiently.

Aide takes the initiative to suggest solutions or request any potentially omitted files within the context. Our agent accomplishes this by addressing linter errors and integrating pertinent context via LSP tools. Feel free to apply AI-driven modifications throughout your coding experience. We maintain lightweight, VS Code-integrated checkpoints (we do not utilize git) to enable effortless restoration to earlier versions if the agent happens to err. Our goal is to make Aide resemble a true engineer, facilitating a collaborative programming experience. Engage in discussions about an issue by tagging the relevant file(s) and then proceed with edits, or start with a limited number of changes and explore their implications. Inspired by MacOS's spotlight feature, we've developed a floating widget that can be activated with CMD + K, allowing you to swiftly request alterations based on any active text selection. Additionally, we provide a utility named Sidecar, which manages the preparation and transmission of prompts to LLMs while granting them access to various editor functionalities, enriching the overall coding process. This innovative approach helps bridge the gap between human intuition and machine efficiency.

The SWE-agent is a sophisticated AI-driven platform that automates a variety of tasks, including addressing GitHub issues, conducting cybersecurity operations such as Capture The Flag (CTF) challenges, and tackling coding problems. Utilizing advanced language models like GPT-4 or Claude, it operates within isolated computing environments to perform tasks independently, delivering customizable solutions tailored for developers and cybersecurity experts. This versatile tool caters to numerous applications, ranging from enhancing software repositories to detecting vulnerabilities and executing specialized tasks. Crafted by a collaboration of researchers from Princeton and Stanford University, SWE-agent exemplifies the integration of machine learning with effective problem-solving in the realms of software development and cybersecurity. With its innovative features, it represents a significant advancement in automating complex workflows for professionals in these fields.

Devlo is an innovative AI-driven assistant that aims to expedite the software development lifecycle by automating essential tasks such as bug resolution, feature implementation, code improvements, and testing processes. This platform is designed to work effortlessly with GitHub repositories, allowing developers to manage tickets, assess pull requests, and create unit tests with great efficiency. With its advanced AI features, devlo can comprehend and validate code modifications, automate subsequent tasks, and deliver expert-grade code evaluations in less than a minute. By taking care of repetitive development chores, devlo enables teams to concentrate on creative solutions and accelerate product launches, while maintaining high standards of code quality and security. It is compatible with all leading programming languages and prioritizes enterprise-level security and confidentiality, making it a reliable choice for development teams. This ensures that organizations can innovate without compromise while leveraging AI technology to enhance their workflow.

Solver represents a groundbreaking advancement in elastic engineering APIs, purposefully created to fully automate a wide range of programming responsibilities. This innovative tool allows software developers to delegate repetitive and laborious coding tasks, thus enabling them to devote more time to the imaginative aspects of their projects. Solver autonomously manages complex, multi-step processes, continuously enhancing its capabilities by interpreting external documentation and adjusting to the requirements of each project. It integrates effortlessly with existing integrated development environments through a cloud-based API, which means there’s no need to adopt a new system. By utilizing repository-based reasoning, it allows cutting-edge generative AI to interact directly with Git repositories, streamlining workflow efficiencies. Originating from the talented team that developed Siri and Viv, Solver upholds rigorous engineering standards, expanding the potential of AI in the realm of software development. Its scalability allows it to refine its operations as it progresses, and it is capable of executing tasks such as detecting security vulnerabilities and improving code, all while delivering results at a speed that often surpasses that of human teams. In essence, Solver not only enhances productivity but also reshapes the future landscape of coding practices.

Visual Studio IntelliCode enhances the development experience through AI-driven assistance. By prioritizing suggestions that you are most likely to need, IntelliCode helps streamline your workflow significantly. Its recommendations are informed by a wealth of information derived from numerous open-source projects on GitHub, each boasting over 100 stars. When used alongside the context of your existing code, the completion suggestions are customized to align with established coding practices. Beyond just completing statements, IntelliCode also offers signature assistance, suggesting the most relevant overload options based on the current context. Not only does IntelliCode provide personalized recommendations for your code, but it also facilitates sharing these insights across your team effortlessly. Thanks to this preview feature, you can create a team model that offers tailored suggestions for code outside the open-source realm, including methods from your custom utility classes or specialized libraries. Furthermore, by integrating our build task into your development pipeline, you can ensure that team completions remain current with any changes in the repository, fostering a more collaborative coding environment. This powerful tool ultimately empowers developers to work more efficiently and effectively within their teams.