Best AI Code Refactoring Tools for Cloud - Page 2
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Compare the Top AI Code Refactoring Tools for Cloud as of September 2025 - Page 2
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1
Codestral
Mistral AI
We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.Starting Price: Free -
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MarsCode
MarsCode
MarsCode: A highly intelligent, ready-to-use AI development tool. With its 'out-of-the-box cloud AI IDE' and 'powerful AI assistant', MarsCode comprehensively facilitates efficient learning and smooth operations for developers. Key Features include: 1. An out-of-the-box cloud AI IDE, liberating development from device and location constraints. 2. Extensions for local IDEs, bring the experience of AI intelligence to traditional development. 3. Boasting features for code completion and generation, bug fixing, code optimization and more, provides intelligent assistance across the full development process to developers. 4. Repository-level intelligent Q&A feature, allowing developers to focus more. 5. Supports different kinds of applications deployment, including websites, AI plugins, and APIs, etc.Starting Price: Free -
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CodeQwen
Alibaba
CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.Starting Price: Free -
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DeepCode AI
Snyk
DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers Snyk's one-click security fixes and comprehensive app coverage, letting developers build fast while staying secure. Our specialized DeepCode AI is built and refined by top-tier researchers that use training data from millions of open source projects, never customer data. DeepCode AI's hybrid approach uses multiple models and security-specific training sets for one purpose, to secure applications.Starting Price: $25 per month -
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GitLab Duo
GitLab
Ship more secure software faster with AI throughout the entire software development lifecycle GitLab Duo is an AI-powered assistant integrated into the GitLab platform, designed to enhance software development productivity and collaboration. It provides intelligent code suggestions, helps refactor and debug code, and streamlines workflows by automating repetitive tasks. GitLab Duo also supports natural language queries for project management and development insights, enabling developers to interact with their repositories more intuitively. Integrated with popular IDEs like JetBrains and Neovim, GitLab Duo ensures seamless assistance within developers' preferred environments. By combining AI-driven efficiency with GitLab’s robust DevSecOps features, GitLab Duo empowers teams to deliver high-quality software faster and more collaboratively.Starting Price: $19/user/month -
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Amazon Q Developer
Amazon
The most capable generative AI–powered assistant for software development. To accelerate building across the entire software development lifecycle, Amazon Q agents can autonomously perform a range of tasks–everything from implementing features, documenting, testing, reviewing, and refactoring code, to performing software upgrades. Amazon Q Developer makes the whole development lifecycle easier. Amazon Q Developer is an expert on AWS and is in the console to help optimize your cloud costs and resources, provide guidance on architectural best practices, investigate operational incidents, and diagnose and resolve networking issues. Amazon Q Developer agents accelerate large-scale enterprise workload transformations, including .NET porting from Windows to Linux, mainframe application modernization, VMware workload migration and modernization, and Java upgrades to streamline processes and reduce costs.Starting Price: $19/month -
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Cline
Cline AI Coding Agent
Autonomous coding agent right in your IDE, capable of creating/editing files, running commands, using the browser, and more with your permission every step of the way. Cline can handle complex software development tasks step-by-step. With tools that let him create & edit files, explore large projects, use the browser, and execute terminal commands (after you grant permission), he can assist you in ways that go beyond code completion or tech support. While autonomous AI scripts traditionally run in sandboxed environments, this extension provides a human-in-the-loop GUI to approve every file change and terminal command, providing a safe and accessible way to explore the potential of agentic AI.Starting Price: Free -
8
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 -
9
devlo
devlo AI
devlo is an AI-powered development assistant designed to help teams accelerate their software development process by automating tasks such as bug fixing, feature development, code enhancements, and automated testing. The platform integrates seamlessly with GitHub repositories, enabling developers to resolve tickets, review pull requests, and generate unit tests with minimal effort. devlo’s AI capabilities allow it to understand and validate code changes, automate follow-up tasks, and provide expert-level code reviews in under a minute. By handling routine development tasks, devlo empowers teams to focus on innovation and ship products faster, while ensuring high-quality, secure code. It supports all major programming languages and is built with enterprise-grade security and privacy in mind.Starting Price: $39/month -
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Fynix
Fynix
Fynix is an AI-powered platform designed to boost software development productivity through intelligent coding assistance and agent-based code reviews. It integrates directly into popular IDEs like VS Code and offers features such as context-aware autocomplete, natural language commands for code fixes and translations, and automatic code flow visualizations. Fynix’s Code Assistant helps developers write cleaner, more efficient code faster, while its upcoming Code Quality Agent will automate bug detection and enforce coding standards. With support for multiple programming languages and frameworks, and integrations with tools like Jira, Fynix is a versatile platform for improving coding efficiency and collaboration.Starting Price: Free -
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Solver
Solver
Solver is the world’s first elastic engineering API, designed to fully automate programming tasks. It allows developers to offload time-consuming, tedious coding work, empowering them to focus on creative aspects. Solver handles multi-step, end-to-end tasks autonomously, learning in real-time by reading external documentation and adapting to project needs. It integrates seamlessly with existing IDEs via a cloud-based API, eliminating the need for a new system. It offers repository-based reasoning, enabling state-of-the-art generative AI to work directly with Git repositories. Developed by the team behind Siri and Viv, Solver ensures high-quality engineering standards, pushing the boundaries of what AI can achieve in software development. It’s scalable, fine-tuning as it works, and can handle tasks like security vulnerability detection and code improvement, delivering results faster than human teams.Starting Price: $20 per month -
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Code2
Code2
We create a compressed version of your codebase so AI can understand and code with you. Transform your codebase into AI-ready insights. Get smarter, more accurate code suggestions. Experience unlimited potential. If you can dream it, you can now build it. Generate full, functional code that works with your existing project.Starting Price: £30 one-time payment -
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What The Diff
What The Diff
Save costly developer time by automating pull request summaries. Open a pull request and get a summary of the changes in seconds. Instantly understand the implications of small pull requests and get a huge headstart on big ones. A lot of time is spent on code reviews with back and forth between the reviewer and the author - often about minor changes that could be done automatically. Just comment on the lines of code that should be refactored with /wtd and describe the changes that you want. What The Diff will then suggest the changes in the pull request and you can accept them with a single click. What The Diff analyzes the changes of your pull requests and gives you and your team a summary of all the changes in plain english – no need to do this yourself. What The Diff has been trained with a huge data set of code and supports nearly all programming languages. Install the GitHub app for free and give it a try it on one of your repositories.Starting Price: $19 per month -
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Code Llama
Meta
Code Llama is a large language model (LLM) that can use text prompts to generate code. Code Llama is state-of-the-art for publicly available LLMs on code tasks, and has the potential to make workflows faster and more efficient for current developers and lower the barrier to entry for people who are learning to code. Code Llama has the potential to be used as a productivity and educational tool to help programmers write more robust, well-documented software. Code Llama is a state-of-the-art LLM capable of generating code, and natural language about code, from both code and natural language prompts. Code Llama is free for research and commercial use. Code Llama is built on top of Llama 2 and is available in three models: Code Llama, the foundational code model; Codel Llama - Python specialized for Python; and Code Llama - Instruct, which is fine-tuned for understanding natural language instructions.Starting Price: Free -
15
OpenAI o3
OpenAI
OpenAI o3 is an advanced AI model designed to enhance reasoning capabilities by breaking down complex instructions into smaller, more manageable steps. It offers significant improvements over previous AI iterations, excelling in coding tasks, competitive programming, and achieving high scores in mathematics and science benchmarks. Available for widespread use, OpenAI o3 supports advanced AI-driven problem-solving and decision-making processes. The model incorporates deliberative alignment techniques to ensure its responses align with established safety and ethical guidelines, making it a powerful tool for developers, researchers, and enterprises seeking sophisticated AI solutions.Starting Price: $2 per 1 million tokens -
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Sweep AI
Sweep AI
Spend time reviewing code generated by AI, not writing it. Sweep generates repository-level code at your command. Cut down your dev time on mundane tasks, like tests, documentation, and refactoring. Review all changes by Sweep, directly in Github, and comment if any changes need to be made. Push the commit if all looks good. All you have to do is write a ticket, and Sweep will do all of the heavy-lifting for you, allowing you to focus on the more important engineering problems. -
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Codoki
Codoki
🚀 Codoki is an AI-powered engineering assistant that helps teams fix bugs, refactor code, and reduce tech debt—up to 50x faster. Unlike AI code assistants that just suggest snippets, Codoki integrates with your workflow, detects issues, automates fixes, and even acts as a 24/7 AI on-call engineer—reducing downtime and saving developer time. Engineering teams using Codoki ship faster, cut operational costs, and spend more time building instead of fixing. -
18
Artemis
TurinTech AI
Artemis leverages Generative AI, multi-agent collaboration, genetic optimization, and contextual insights to analyze, optimize, and validate codebases at scale, transforming existing repositories into production-ready solutions that improve performance, reduce technical debt, and ensure enterprise-quality outcomes. Integrating seamlessly with your tools and repositories, it uses advanced indexing and scoring to pinpoint optimization opportunities, orchestrates multiple LLMs and proprietary algorithms to generate tailored improvements, and performs real-time validation and benchmarking to guarantee secure, scalable results. A modular Intelligence Engine powers extensions for profilers and security tools, ML models for anomaly detection, and an evaluation suite for rigorous testing, all designed to lower costs, boost innovation, and accelerate time-to-market without disrupting existing workflows. -
19
AWS Transform
Amazon
AWS Transform is an agentic AI service from Amazon Web Services that automates and accelerates the modernization of legacy workloads, specifically .NET, mainframe, and VMware environments. Built on AWS’s migration and modernization experience, it deploys specialized AI agents to carry out tasks like assessment, code analysis, dependency mapping, refactoring, decomposition, validation, and planning, many of which run in parallel, to speed up large-scale transformations. Through a shared workspace and natural-language chat interface, cross-functional teams can collaborate, track progress, and manage modernization projects from end to end. AWS claims AWS Transform can make .NET apps port up to 4 times faster, greatly speed VMware configuration conversion, and compress mainframe migration timelines (years down to months), while also helping reduce legacy licensing, infrastructure cost, and ongoing maintenance expenses. -
20
Jedi
Jedi
Jedi is a static analysis tool for Python that is typically used in IDEs/editors plugins. Jedi has a focus on autocompletion and goto functionality. Other features include refactoring, code search and finding references. Jedi has a simple API to work with. There is a reference implementation as a VIM-Plugin. Autocompletion in your REPL is also possible, IPython uses it natively and for the CPython REPL you can install it. Jedi is well tested and bugs should be rare. A Script is the base for completions, goto or whatever you want to do with Jedi. The counter part of this class is Interpreter, which works with actual dictionaries and can work with a REPL. This class should be used when a user edits code in an editor. Most methods have a line and a column parameter. Lines in Jedi are always 1-based and columns are always zero based. To avoid repetition they are not always documented. -
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OpenAI o3-mini-high
OpenAI
The o3-mini-high model from OpenAI advances AI reasoning by refining deep problem-solving in coding, mathematics, and complex tasks. It features adaptive thinking time with adjustable reasoning modes (low, medium, high) to optimize performance based on task complexity. Outperforming the o1 series by 200 Elo points on Codeforces, it delivers high efficiency at a lower cost while maintaining speed and accuracy. As part of the o3 family, it pushes AI problem-solving boundaries while remaining accessible, offering a free tier and expanded limits for Plus subscribers. -
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Amazon CodeWhisperer
Amazon
Build apps faster with ML-powered coding companion. Accelerate application development with automatic code recommendations based on the code and comments in your IDE. Empower developers to use artificial intelligence (AI) responsibly to create syntactically correct and secure applications. Generate entire functions and logical code blocks without having to search and customize code snippets from the web. Stay focused and never leave the IDE, with real-time customized code recommendations for all your Java, Python, and JavaScript projects. Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE). Accelerate frontend and backend development by empowering developers with automatic code recommendations. Save time and effort by using CodeWhisperer to generate code to build and train your ML models. -
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Emergent
Emergent.sh
Emergent.sh is an AI-powered, agentic workspace designed to amplify creativity, remove roadblocks, and redefine software development. It offers an all-in-one platform where developers can plan, code, test, and deploy applications seamlessly. Key features include code maintenance and refactoring, such as automating library upgrades, simplifying migrations, and refactoring codebases. For application development and testing, Emergent.sh aids in resolving frontend bugs, integrating SaaS quickly, and boosting testing coverage. In data warehousing, it streamlines migrations, builds efficient ETL pipelines, and preprocesses data effortlessly. Additionally, it supports maintaining documentation, building internal tools, and automating scripting tasks. Backed by Y Combinator, Emergent.sh aims to unlock the future of software development by providing developers with a workspace that enhances productivity and innovation.
