List of the Top Free AI Code Refactoring Tools in 2025 - Page 2

Safurai is an AI-driven IDE extension designed to assist developers by enhancing the speed of coding, debugging, documentation, and various other tasks. It functions as a virtual assistant, offering solutions and suggestions for any challenges encountered throughout the software development process. By using Safurai, developers can elevate their workflow and enhance the quality of their code, ultimately leading to a more efficient development experience. Comprising a collection of non-proprietary Large Language Models specifically optimized for programming tasks, Safurai ensures robust performance in all its functions. The models are exclusively trained on synthetic data, and we prioritize not retaining or reusing user codebase data for enhancements. At Safurai, our commitment to "Transparency" goes beyond mere terminology; it reflects our genuine dedication to clear and open practices. This approach fosters trust and reliability among users, making Safurai a valuable asset in the world of software development.

Refraction is an advanced code-generation platform designed specifically for developers, utilizing artificial intelligence to aid in the code writing process. This groundbreaking tool allows users to create unit tests, generate documentation, and refactor existing code, among other functionalities. Supporting an impressive array of 34 programming languages, including Assembly, C#, C++, CoffeeScript, CSS, Dart, Elixir, Erlang, Go, GraphQL, Groovy, Haskell, HTML, Java, JavaScript, Kotlin, LaTeX, Less, Lua, MatLab, Objective-C, OCaml, Perl, PHP, Python, R Lang, Ruby, Rust, Sass/SCSS, Scala, Shell, SQL, Swift, and TypeScript, Refraction caters to a diverse developer community. By adopting Refraction, countless developers worldwide are enhancing their productivity and efficiency, as the platform automates various tasks such as creating documentation, conducting unit tests, and refactoring code. This innovation empowers programmers to focus on the more vital elements of software development while improving overall workflow. With the help of AI, users can easily refactor, optimize, troubleshoot, and conduct style checks on their code. Moreover, it aids in generating unit tests that are compatible with multiple testing frameworks, thereby elucidating the intent of the code and making it more understandable for others. Start harnessing the potential of Refraction today and elevate your coding journey to new heights, discovering newfound efficiencies and capabilities along the way.

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.

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.

Discover a privacy-focused method for evaluating pull requests that delivers comprehensive code suggestions for every line, coupled with a dynamic chat feature that evolves with use. The system effectively summarizes changes within the pull request, clarifying the intent behind each modification. Automated release notes are generated to facilitate seamless integration into your release documentation. Every code change undergoes meticulous review, offering precise and actionable feedback that can be readily applied. You can interact with the bot by posing questions directly linked to your code and providing extra context for generating tailored code snippets. As your dialogue with the bot expands, its capabilities enhance, resulting in faster review cycles and improved quality of code change recommendations. Your privacy is preserved throughout this process, allowing the system to customize the review experience to meet your specific requirements. This innovative approach continuously evolves, improving the relevance of its suggestions to better align with your unique coding style and preferences as you interact with it over time. By fostering this dynamic relationship, developers can achieve a more efficient workflow and greater satisfaction in their coding practices.

Fine is a cutting-edge platform that harnesses artificial intelligence to assist startups by automating numerous processes within the software development lifecycle. It offers a range of AI-driven workflows that simplify tasks such as coding, debugging, testing, and code review, empowering teams to implement daily updates and quickly address pull requests. Fine can autonomously generate and implement code, evaluate pull requests, design tests, and tackle standard challenges without requiring constant supervision from developers. With seamless integration into GitHub, it supports asynchronous collaboration, making it particularly suitable for fast-paced startup settings. Furthermore, Fine provides real-time feedback and live previews, significantly boosting productivity and refining the overall development process. By utilizing these sophisticated capabilities, teams can devote more attention to strategic initiatives while the platform efficiently manages routine tasks, ultimately leading to a more streamlined development experience. This innovative approach not only enhances team efficiency but also fosters an environment where creativity and innovation can thrive.

We are thrilled to introduce Codestral, our first code generation model. This generative AI system, featuring open weights, is designed explicitly for code generation tasks, allowing developers to effortlessly write and interact with code through a single instruction and completion API endpoint. As it gains expertise in both programming languages and English, Codestral is set to enhance the development of advanced AI applications specifically for software engineers. The model is built on a robust foundation that includes a diverse selection of over 80 programming languages, spanning popular choices like Python, Java, C, C++, JavaScript, and Bash, as well as less common languages such as Swift and Fortran. This broad language support guarantees that developers have the tools they need to address a variety of coding challenges and projects. Furthermore, Codestral’s rich language capabilities enable developers to work with confidence across different coding environments, solidifying its role as an essential resource in the programming community. Ultimately, Codestral stands to revolutionize the way developers approach code generation and project execution.

Introducing MarsCode: a cutting-edge AI development platform ready for immediate implementation. This state-of-the-art tool boasts an 'out-of-the-box cloud AI IDE' alongside a 'robust AI assistant,' making it indispensable for developers eager to elevate their skills while optimizing their workflows. Its key features include: 1. A cloud-based AI IDE that liberates developers from the constraints of specific devices and locations. 2. Compatibility with local IDEs, blending traditional development methodologies with advanced AI functionalities. 3. A comprehensive suite of tools for code completion, bug detection, and optimization, providing smart assistance throughout the entire coding experience. 4. An intelligent Q&A feature at the repository level that allows developers to focus on their work with enhanced ease. 5. Flexible deployment options for various application types, such as websites, AI plugins, and APIs, addressing a wide spectrum of development needs. With MarsCode, developers not only unlock powerful resources but also discover an elevated level of productivity and efficiency in their projects. This innovative platform is set to transform the way developers approach their coding tasks.

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.

DeepCode AI is the core technology behind Snyk code, positioning it as the fastest and most accurate Static Application Security Testing (SAST) tool on the market. By integrating DeepCode AI into the Snyk platform, which utilizes a range of AI models refined with security-centric data, Snyk offers users the benefits of advanced artificial intelligence while minimizing associated risks. Capable of supporting 11 different programming languages, DeepCode AI is designed to effectively discover and fix vulnerabilities while also managing technical debt. This cutting-edge AI enhances Snyk's one-click security options and broad application reach, allowing developers to work quickly while ensuring strong security practices are in place. Continuously enhanced by skilled researchers, DeepCode AI is trained on an extensive array of open-source projects, ensuring that customer data remains entirely secure. The hybrid approach employed by DeepCode AI combines multiple models and tailored training datasets, all focused on improving application security. This dedication to cutting-edge development guarantees that developers can launch their applications with confidence, knowing that their security is uncompromised. Furthermore, the seamless integration of DeepCode AI into the development workflow streamlines the process of safeguarding applications against potential threats.

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.

Cline is an autonomous coding assistant seamlessly embedded in your IDE, capable of creating and modifying files, executing commands, browsing the internet, and more, all while ensuring you provide explicit consent at each step of the process. This tool is specifically designed to address complex software development issues in a systematic manner. With its ability to generate and alter files, navigate large codebases, access web resources, and execute terminal commands upon your approval, Cline offers a level of support that goes beyond basic code completion or technical help. In contrast to conventional AI scripts that function in isolated settings, this extension boasts an intuitive interface that necessitates your consent for every modification and command, thereby promoting a secure and user-friendly experience with autonomous AI. By utilizing such a system, developers are empowered to discover creative solutions while retaining complete oversight of their coding environment, thus enhancing productivity and innovation in their projects.

Aide proactively proposes solutions and identifies any missing files in the given context. Our agent effectively resolves linter errors while incorporating relevant context through LSP tools. You are encouraged to implement AI-driven enhancements during your coding activities. We utilize lightweight checkpoints integrated with VS Code (bypassing git) to allow for seamless reversion to previous versions in case of agent mistakes. Our aim is to make Aide function like a genuine engineer, fostering a collaborative programming environment. You can engage in discussions about a problem by tagging the necessary file(s) and then proceed with modifications, or you might start with a few changes and assess their consequences. Drawing inspiration from the spotlight feature on MacOS, we have introduced a floating widget that is activated with CMD + K, enabling you to quickly request changes based on any selected text. Furthermore, we offer a tool called Sidecar, which coordinates the preparation and sending of prompts to LLMs while providing access to various editor features, thus enhancing the entire coding experience. This innovative strategy effectively merges human intuition with machine productivity, making the programming process smoother and more efficient. Ultimately, our mission is to refine this collaborative dynamic, ensuring that developers can focus on creativity while leveraging AI assistance seamlessly.

FauxPilot acts as a self-hosted, open-source alternative to GitHub Copilot, utilizing the SalesForce CodeGen models for its functionality. It runs on NVIDIA's Triton Inference Server and employs the FasterTransformer backend to enable local code generation capabilities. To set it up, users need Docker and an NVIDIA GPU with sufficient VRAM, as well as the option to scale the model across multiple GPUs if necessary. Additionally, users are required to download models from Hugging Face and convert them for compatibility with FasterTransformer. This solution offers developers greater flexibility and fosters a more autonomous coding environment, making it an appealing option for those seeking control over their tools. Furthermore, by using FauxPilot, developers can tailor their coding experiences to better suit their individual needs.

Trae is a groundbreaking AI-powered integrated development environment (IDE) designed to revolutionize the experience of developers by facilitating seamless cooperation between human programmers and artificial intelligence. This collaborative model ensures that each task is handled by the most suitable participant, leading to heightened productivity and efficiency across projects. By merging human intuition with AI capabilities, Trae equips developers to launch their products to market more promptly and effectively. Moreover, this partnership cultivates a space where both creativity and technical skills can thrive in unison, ultimately enhancing the development landscape. With Trae, the future of development is not just about speed, but also about fostering innovative solutions.

The SWE-agent is an advanced AI-powered system designed to automate a wide range of activities, such as managing GitHub issues, performing cybersecurity tasks like Capture The Flag (CTF) challenges, and solving programming problems. By leveraging cutting-edge language models such as GPT-4 or Claude, it functions within secured computing environments to carry out its duties autonomously, offering tailored solutions for both developers and cybersecurity professionals. This adaptable tool serves various purposes, from improving software repositories to identifying security vulnerabilities and executing targeted operations. Developed through a partnership between researchers from Princeton and Stanford University, the SWE-agent showcases the fusion of machine learning with practical problem-solving in the fields of software engineering and cybersecurity. Its groundbreaking capabilities signify a substantial leap forward in the automation of intricate workflows, ultimately enhancing productivity for experts in these industries. Furthermore, the SWE-agent sets a new standard for the future of AI-assisted development and security measures.

Fynix operates as an advanced AI-powered platform designed to boost the efficiency of software development by offering intelligent coding assistance and agent-based code evaluations. This innovative tool integrates effortlessly with popular IDEs, including VS Code, and boasts features such as context-aware autocomplete, the ability to input natural language for code corrections and translations, and automatic visual representations of code flow. With its Code Assistant capability, Fynix empowers developers to write cleaner and more efficient code at a faster rate, while the upcoming Code Quality Agent aims to enhance bug detection and maintain coding standards. Supporting multiple programming languages and frameworks, along with compatibility with tools like Jira, Fynix emerges as a versatile solution that promotes better coding practices and encourages team collaboration. As developers continuously seek to refine their skills and produce high-quality code, Fynix has established itself as a vital partner in the evolving realm of software development, ensuring that teams can work more effectively together. Ultimately, the platform represents a significant advancement in the tools available to developers striving for excellence in their craft.

Solver marks a significant leap forward in elastic engineering APIs, designed specifically to fully automate a diverse range of programming tasks. This state-of-the-art tool empowers software developers to offload tedious and time-consuming coding duties, allowing them to focus more on the creative facets of their work. Solver operates independently to handle intricate, multi-step procedures, continually improving its functionality by analyzing external documentation and adapting to the specific demands of each project. Seamlessly integrating with current integrated development environments through a cloud-based API eliminates the need for a complete system overhaul. By leveraging repository-based reasoning, it enables advanced generative AI to interact directly with Git repositories, enhancing workflow efficiency. Developed by the skilled team behind Siri and Viv, Solver adheres to strict engineering standards, broadening the horizons of AI within software development. Its adaptable nature allows for optimization of its functions as it evolves, capable of performing tasks such as identifying security weaknesses and refining code, all while achieving results at a pace that frequently exceeds human teams. Furthermore, Solver is poised to not only boost productivity but also transform the future of coding methodologies, setting a new benchmark for the industry. This transformative potential positions Solver as a vital tool for developers aiming to elevate their projects and streamline their processes.

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.

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.

We create an optimized iteration of your codebase, allowing AI to understand and assist with your programming tasks effectively. Transform your codebase into clear, actionable insights specifically designed for AI interpretation, resulting in improved and accurate coding suggestions. Explore limitless potential; if you can dream it, you can now realize it. Generate fully functional code that integrates effortlessly with your existing project architecture. Moreover, this cutting-edge method fosters increased efficiency and creativity in your programming projects, paving the way for new innovations in software development.

Enhance your development workflow by implementing an automated system for creating pull request summaries. Upon initiating a pull request, you will instantly receive a brief summary of the changes, streamlining your ability to grasp the significance of both minor and major updates. This functionality is particularly beneficial as it allows for rapid understanding, which is crucial for more substantial modifications. The time-consuming nature of code reviews often arises from the back-and-forth communication necessary between reviewers and authors about minor adjustments that could easily be automated. By utilizing the command /wtd to comment on specific lines, What The Diff will suggest the necessary changes directly within the pull request, allowing you to approve them with a simple click. Furthermore, What The Diff analyzes the alterations in your pull requests and offers a summary in clear, uncomplicated terms, thus negating the need for manually crafted summaries. With its extensive training on a wide variety of coding languages, it is compatible with nearly every programming language you might use. The GitHub app can be installed at no cost, allowing you to explore its capabilities across your repositories, making it an indispensable resource for fostering team collaboration. By adopting this innovative technology, you can significantly alleviate the demands of the code review process, ultimately leading to a more efficient development cycle. This will not only enhance productivity but also improve team communication and project outcomes.

Code Llama is a sophisticated language model engineered to produce code from text prompts, setting itself apart as a premier choice among publicly available models for coding applications. This groundbreaking model not only enhances productivity for seasoned developers but also supports newcomers in tackling the complexities of learning programming. Its adaptability allows Code Llama to serve as both an effective productivity tool and a pedagogical resource, enabling programmers to develop more efficient and well-documented software. Furthermore, users can generate code alongside natural language explanations by inputting either format, which contributes to its flexibility for various programming tasks. Offered for free for both research and commercial use, Code Llama is based on the Llama 2 architecture and is available in three specific versions: the core Code Llama model, Code Llama - Python designed exclusively for Python development, and Code Llama - Instruct, which is fine-tuned to understand and execute natural language commands accurately. As a result, Code Llama stands out not just for its technical capabilities but also for its accessibility and relevance to diverse coding scenarios.

The premier open-source AI assistant allows you to design personalized autocomplete functions and chat interfaces by seamlessly linking various models to diverse contexts. By eliminating obstacles that disrupt your productivity during software development, you can maintain a smooth workflow. With a user-friendly plug-and-play system that integrates effortlessly into your entire tech stack, you can expedite your development process. Customize your code assistant to adapt as it gains new features and enhancements. Effortlessly autocomplete entire blocks of code or individual lines across multiple programming languages as you continue typing. You can inquire about files, functions, the full codebase, and more by associating relevant code or context. Additionally, highlight specific segments of code and utilize a keyboard shortcut to transform that code into easily understandable natural language, enhancing collaboration and comprehension. This innovative tool empowers developers to work more efficiently and creatively than ever before.

Codoki serves as an advanced engineering assistant powered by AI, enabling teams to resolve bugs, refactor code, and alleviate technical debt at a speed that can be up to 50 times quicker than traditional methods. In contrast to AI code assistants that merely provide code snippets, Codoki seamlessly fits into your existing workflow, identifies problems, automates corrections, and functions as a round-the-clock AI engineer—thereby minimizing downtime and conserving valuable developer hours. By leveraging Codoki, engineering teams not only accelerate their shipping process but also lower operational expenses, allowing them to focus more on development rather than troubleshooting. This innovative tool empowers teams to enhance productivity and fosters a more efficient engineering environment.