Best Free AI Code Review Tools of 2025

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 3.5 Sonnet 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.

Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.

Increase software development and delivery speed using generative AI assistance with enterprise security and privacy protected. Gemini Code Assist generates code blocks and functions as you type. Code assistance is available for many popular IDEs such as Visual Studio Code and JetBrains IDEs including IntelliJ, PyCharm and GoLand. It also supports 20+ programming language, including JavaScript, Python and C++. You can chat with Gemini Code Assistant using a natural language interface to receive answers to your coding queries or guidance on best coding practices. Chat is available on all supported IDEs. Gemini Code Assist allows enterprises to customize the software by using their own codebases and knowledge bases. Gemini Code Assist allows for large-scale changes in entire codebases.

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.

Your AI pair programmer. GitHub Copilot allows you to get suggestions for entire lines or entire functions from your editor. GitHub Copilot is a program that has been trained on billions upon billions of lines public code. It saves you time and helps you stay focused. GitHub Copilot is now available as a Visual Studio Code Extension. It works on any Visual Studio Code platform, on your computer or in the cloud at GitHub Codespaces. It's easy to use and fast enough that you can type as you type. GitHub Copilot is compatible with a wide range of languages and frameworks. The technical preview works especially well with Python, TypeScript Ruby, Ruby, and Go. However, it can also understand dozens of languages and help you navigate almost any situation. You are always in control with GitHub Copilot. You can choose from a variety of suggestions, accept or reject them, and edit the code manually. GitHub Copilot adapts according to your coding style and makes edits.

Bito's AI assists developers to dramatically increase their impact. It's a Swiss Army Knife of capabilities that can increase your developer productivity by 10x and save you up to an hour per day. The same models are used in ChatGPT. Bito AI allows you to easily write code, understand syntax and write test cases. It also allows you to explain code, comment code, check security, or explain high-level concepts. It's amazing what we can do for you without you having to search the internet or waste your time on tedious tasks. Talented dev teams are the key to innovation. They bring ideas and concepts to life. Dev teams will be the master masons behind intelligent, scalable software that powers some of humanity's most amazing inventions.

CodeSandbox aims to make it easier for you to express your ideas with code, and to validate them. It also removes the hassles of setting up development tooling and sharing your project. Join us to help build the future of web coding. Over 4M developers use the platform each month. This includes organizations like Shopify and Atlassian. Since its launch, creators have created over 35M apps. It's used in thousands of open-source projects like React, Vue and Babel. You can invite your friends, colleagues, or team to join you or simply view your creation by using a URL. Use any of 1M+ packages for building real, powerful applications quickly and efficiently. Import and run repos directly from GitHub or choose from hundreds of templates to start in seconds. Boxy, CodeSandbox's AI-powered coding assistant, is now available to all Pro subscriptions.

Never let onboarding, knowledge silos or context switching slow down your progress. Swimm allows you to create and edit documents that are linked with your code, autosynced, integrated into your workflow, and automatically edited by Swimm. Swimm's language-agnostic editor is paired with Smart Tokens, Snippet Studio, and is the foundation of modern documentation. Create media-rich documents that are compatible with the code. Swimm's Autosync algorithm helps keep your documentation in sync by refactoring and organizing. You don't need to worry about file names, function names or implementation changes. Swimm will keep up with your code. Swimm will monitor your documentation as your code changes and notify you if any of your changes have an impact on your documentation. You can access docs right next the code they reference. Keep your IDE open and continue your work flow. Clicking on a link will open your IDE in a new tab. This tab will contain the Markdown documentation.

Pull request reviews that are privacy-focused and contextual, with code suggestions for each line of code and an interactive chat that becomes smarter over time. The diff in the Pull Request is transformed into a summary that helps you understand the intention of the changes. Creates automated release note, which can be included in the release documentation. A detailed analysis of code changes, line-byline, provides precise and actionable recommendations ready to be committed. Ask the bot questions within your code lines. Provide more context and let it write the code. The more you interact with the bot, it will become smarter. Reduce cycle time by reducing the number of reviews and generating high-quality suggestions for code changes. Your data is kept confidential and used to fine-tune your reviews. The system refines the reviews based on your interactions.

Pythagora is a robust, AI-powered platform designed to simplify the entire process of building full-stack web applications. By leveraging advanced AI agents, it helps developers automate a wide range of tasks including code generation, code review, test creation, debugging, and deployment. This enables developers to focus on higher-level design and business logic, while the platform handles many of the routine and time-consuming aspects of the software development lifecycle. Pythagora currently supports React for frontend development and Node.js for backend development, with plans to extend support to Python in the future. The platform’s intelligent automation capabilities make it ideal for quickly turning around both MVPs and production-ready applications. Whether you’re working on a small-scale prototype or a large-scale application, Pythagora accelerates development by reducing manual work, cutting down on errors, and boosting overall productivity. Its intuitive setup and ease of integration with existing workflows further streamline the development process, making it an invaluable tool for modern software developers and development teams.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

Collaboration with AI and each other is made easy without having to switch between tools. This reduces distractions and context switches. Pullflow synchronizes your user identities and code review activity across GitHub Slack and VS Code. This allows you to communicate naturally across platforms. Take action wherever you are and return to your flow. Pullflow integrates GitHub Actions, external CI/CD tools, GitHub apps and more to give you a single view on your pull request, from the draft stage to the test and deployment phase. Pullflow can take care of your quick actions with a simple chat mention or IDE shortcut. Request review, add/remove label, give feedback, accept, and more without a trip on GitHub.

Get code reviews on-demand from experts, vetted by AI. Every time you open a Pull Request, senior engineers will be added to your team. AI-assisted code review will help you deliver better, more secure software faster. PullRequest can adapt to the needs of any development team, whether it's 5 or 5,000. Our reviewers help your team find security vulnerabilities, hidden bugs, and fix any performance issues before they are released. All of this can be done using your existing tools. AI analysis enhances the expertise of human reviewers to identify high-risk security areas. Intelligent static analysis using open source tools combined with proprietary AI. Shown to reviewers for greater insights. Save your senior staff time. While other members of your group are busy building, you can make meaningful progress in resolving problems and improving code.

Assigning smaller tickets to AI agents will save you time and effort. Tusk helps software developers complete chore tickets as quickly as they think. Tusk iterates automatically on its code changes in order to address any code review left on the pull requests. No good engineer will push code without testing. Tusk runs all your automated tests and checks to ensure the PR is working. We'll save you time even if we can't create pull requests by providing code context to use as a starting point. Tusk will help you avoid being distracted by your PMs about chore tickets. Concentrate your time on fulfilling your work while also raising the standard of your product. Investigating and fixing customer-reported bugs takes time. Tusk can fix them first. We know that you have more important things to do than remove a word from a header, or find and replace a term in multiple files. Tusk can go through your backlog of product quality issues. We'll implement UI/UX improvements that you've neglected for weeks.

DeepCode AI is the backbone of Snyk, and it's why it's also the fastest, most accurate SAST available. DeepCode AI, the AI powering Snyk, uses multiple AI models and is trained using security-specific data. It is then curated by top researchers to give all the benefits of AI without the drawbacks. DeepCode AI from Snyk was created to manage tech debt and find and fix vulnerabilities. It supports 11 languages and has multiple AI models. DeepCode AI is the engine behind Snyk’s one-click app coverage and security fixes. This allows developers to build quickly while remaining secure. DeepCode AI, our specialized AI, is built and refined using training data from open source projects. Never customer data. DeepCode AI uses a hybrid approach that combines multiple models and security-specific learning sets to secure applications.

Codeball is an AI code reviewer that grades pull requests from 0 (needs to be carefully reviewed) to 1. Codeball can be used to add labels that help you focus and auto-approve PRs. Codeball is easy to use and has a set of defaults that are logical. It can be customized to fit your workflow. Label PRs if you need to review them with caution. Keep your eyes open and don't allow bugs to slip through. Identifies, approves, or labels PRs that are safe. Save time by accelerating PRs that can be easily reviewed. GitHub Actions allows for full customization and programming. Codeball Actions consist of multiple smaller building block components that are highly configurable via GitHub Actions. Codeball uses a deep-learning model that was trained on more than 1 million Pull Requests. It considers hundreds inputs for each contribution. Codeball is optimized to be precise, so it only approves contributions it's confident in.

AI can be a powerful tool in the coding process. CodeMind provides insightful suggestions to elevate your code. Use different features in your version control. Get your code reviewed to find bugs and get ideas for how to improve it. To help reviewers better understand your code, you can provide a summary of merge request. Ask for an explanation if you find the code complex. Explain application code and infrastructure code. Managing code reviews is a difficult task. Manually reviewing every line of code can be time-consuming, lead to human errors, and miss out on optimization opportunities. We are here to change this process. Our tool speeds up the review process and frees you up to focus on what really matters: writing great code. Our AI-driven code review tool provides in-depth analysis of code, identifying potential problems that are often missed by manual reviews.

Metabob detects coding errors created by humans or AI, explains them, and fixes them. Metabob uses proprietary graph neural network to detect problems, and LLMs explain and resolve them. This combines the best of both worlds. GNN detects problematic code and classifies it with contextual understanding. Metabob's backend stores problematic code and context enriched with context. The backend stores the information and passes it to an integrated LLM. The LLM provides context-sensitive explanations and solutions to problems. Metabob's AI has been trained by millions of bug fixes made by experienced developers. Metabob's ability to understand context and code logic allows it to detect complex issues that span multiple codebases, and automatically generate solutions. Metabob's AI code reviews detect hundreds of logical issues, ranging from race conditions to unhandled edges cases. These problems are not detectable by static analysis tools.

AI-generated summaries, real-time chat and code review can help you improve your code and find bugs faster. AI summaries provide instant context for every pull request. This helps your team save time during code reviews. Instant feedback on each pull request will help you improve code quality and speed up delivery. Use GitHub comments to chat with AI and uncover issues in your code. Set up rules and filters in your code review assistant to get the best results. GitChat can turbocharge your code reviews. Ship faster and improve code quality.

Streamline Git commands to stack pull requests seamlessly from your terminal. Visually edit and create stacked pull requests without leaving the IDE. Keep track of all PRs and review requests in one inbox. Graphite AI's codebase aware feature provides immediate feedback and actionable suggestions on every pull request. Eliminate merge conflict and keep your main branches green, regardless of whether you have a team with 10 or 10,000 members. Accelerate the team with powerful real-time developer metrics. A faster and more intuitive Git interface designed to make stacking easy. Run gtcreate again to stack a new branch on top of the previous ones without waiting for them merge into the main. Gt sync will automatically sync your local changes with remote ones, and remove stale branches. Modify your stack to update changes. Graphite will handle all recursive rebasing. Create or update PRs on every branch of your stack using gt submit.

A framework designed specifically to address the challenges of autonomous intelligence. Continue writing software using your language, libraries, APIs and data models. Your own autonomous product that scales and adapts to your development. Automated AI can automate the video creation process by generating, optimizing, and editing content. This reduces manual tasks significantly. Your autonomous system can produce high quality video content by integrating with AI tools such as Luma AI or OpenAI to generate video and scaling text-to speech on Azure. By integrating platforms like YouTube, your autonomous AI can continually improve based upon feedback and engagement metrics. We believe that the best path to AGI lies in orchestrating millions of autonomous systems. We are a small team of passionate researchers and engineers dedicated to building autonomous artificial intelligent. We would love to hear from anyone who finds this interesting.

The most capable AI-powered assistant in software development. Amazon Q agents are able to perform a wide range of tasks autonomously, including implementing features, documenting and testing code, reviewing it, refactoring it, and performing software upgrades. Amazon Q Developer simplifies the entire development lifecycle. Amazon Q Developer is a cloud expert and is available in the console. It can help optimize costs and resources on AWS, provide guidance on best practices for architecture, investigate operational incidents and diagnose and fix networking issues. Amazon Q Developer agents speed up large-scale enterprise workload changes, including.NET migration from Windows to Linux and mainframe application modernization. They also migrate VMware workloads and modernize them, and upgrade Java to reduce costs.

Forge is a code review assistant that uses AI to ensure high-quality code. It can save developers countless hours of time and help them maintain their code. Forge, which is currently in beta, is available to Teams users of GitHub Free, GitHub Pro and GitHub Team. AI can help you understand the code that you are reviewing by explaining subtle changes. Instantly generate suggestions to reduce turnaround times and ensure that the author and the reviewer are on a similar page. Add GIFs or AI-generated ASCII artwork to your reviews to make them more fun and interesting. Use AI to scan code to ensure code quality and maintainability based on organization-specific or team-specific guidelines. Forge is an extension for Chrome that replaces the Code Review experience you have with a more powerful AI-infused version. Forge uses AI to enhance the current review flow while still allowing users to perform most of the usual actions they would do when reviewing code.

Patched is a managed services that leverages the open source framework Patchwork to automate tasks such as code review, bug fixing, security patches, and documentation. Patched uses large language models to enable developers to build and deploy AI assisted workflows, also known as "patch flow", that handle post-code tasks autonomously, thereby improving code quality and speeding up development cycles. The platform has a graphical user interface and a visual builder that allows for customization of patch flow without the need to manage LLM endpoints or infrastructure. Patchwork offers a self hosted command-line interface that integrates seamlessly into existing development pipelines. Patched places a high priority on privacy and control. It allows deployment within an organisation's infrastructure by using its own LLM-API keys.

Automating pull request summaries can save you valuable developer time. In seconds, you can open a pull request to get a summary about the changes. You can instantly understand the implications of small pull request and get a head start on larger ones. Code reviews take a lot of time. There is often back-and-forth between the author and the reviewer. This is often about minor changes that could easily be automated. Simply comment on the code lines that need to be refactored using /wtd, and then describe the changes you want. With a single click, What The Diff will suggest the changes to your pull request. What The Diff analyzes your pull requests and provides a summary in plain English for you and your team. What The Diff is able to handle almost all programming languages and has been trained with a large data set of code. Try the GitHub app free of charge on one of your repositories.