Best Free AI Code Refactoring Tools - Page 2

Privacy-focused, contextual pull request reviews with line-by-line code suggestions and interactive chat that gets smarter over time. The diff in the pull request is transformed into a clear summary, helping you understand the intent of the changes. Creates automated release notes, convenient for inclusion in the release documentation. A detailed, line-by-line analysis of the code changes provides precise and actionable suggestions ready to be committed. Ask questions to the bot within your code lines, provide more context, and have it write the code. The more you chat with the bot, the smarter it will become. Shorten cycle time with faster review feedback and high-quality code change suggestions. Your data stays confidential and solely fine-tunes your reviews. The system learns from your interactions, refining the reviews to align with your preferences.

Fine is an AI-powered development platform designed to assist startups by automating tasks throughout the software development lifecycle. It offers a range of AI agent workflows for coding, debugging, testing, and code review, allowing teams to ship daily improvements and resolve pull requests faster. Fine can autonomously create and implement code, conduct pull request reviews, generate tests, and handle common issues without constant human input. The platform integrates seamlessly with GitHub and supports asynchronous work, making it particularly suitable for fast-paced startups. With real-time feedback and live previews, Fine improves productivity and streamlines the development process.

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.

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.

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.

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.

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.

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.

FauxPilot is an open source, self-hosted alternative to GitHub Copilot. It utilizes the SalesForce CodeGen models on NVIDIA's Triton Inference Server with the FasterTransformer backend for local code generation. It requires Docker, an NVIDIA GPU with sufficient VRAM, and the ability to split the model across multiple GPUs if needed. The setup involves downloading models from Hugging Face and converting them for FasterTransformer compatibility.

Trae is an adaptive AI integrated development environment (IDE) designed to revolutionize the way developers work by fostering seamless collaboration between human and artificial intelligence. This dynamic partnership ensures that each task is handled by the most suitable agent, thereby maximizing productivity and efficiency. By balancing human intuition with AI capabilities, Trae enables developers to ship products faster and more effectively.

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.

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.

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.

Junie is an AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ IDEA, PyCharm, and Android Studio. It supports developers by assisting with code completion, testing, and inspections, ensuring code quality and reducing debugging time. Junie adapts seamlessly to your workflow, providing plans for execution and collaborating on complex coding tasks through different modes like code mode and ask mode. It understands project structure and logic, helping to find efficient solutions and maintain clean, production-ready code. Users can rely on Junie to run tests and verify changes, keeping projects stable and reducing compilation errors. With real-world examples from developers creating games and apps, Junie proves to be a versatile and intelligent assistant for coding projects of various scopes.

Visual Studio IntelliCode: AI-assisted development. IntelliCode saves you time by putting what you’re most likely to use at the top of your completion list. IntelliCode recommendations are based on thousands of open source projects on GitHub each with over 100 stars. When combined with the context of your code, the completion list is tailored to promote common practices. IntelliCode isn’t limited to statement completion. Signature help also recommends the most likely overload for your context. IntelliCode can provide recommendations based on your code and seamlessly share them across your team. With this preview feature, you can build a team model to provide recommendations on code that isn’t in the open source domain, such as methods on your own utility classes or domain specific library calls. Integrate our build task into your pipeline to keep your team completions up to date with repository changes.

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.

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.

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.

The leading open-source AI code assistant. You can connect any models and any context to create custom autocomplete and chat experiences inside the IDE Remain in flow while coding by removing the barriers that block productivity when building software. Accelerate development with a plug-and-play system that makes it easy to get started and integrates with your entire stack. Become a leader in AI by setting up your code assistant to evolve as new capabilities emerge. Continue autocompletes single lines or entire sections of code in any programming language as you type. Attach code or other context to ask questions about functions, files, the entire codebase, and more. Highlight code sections and press a keyboard shortcut to rewrite code from natural language.

🚀 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.