Best AI Code Review Tools for JavaScript

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.

Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk is a developer security platform that automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams.

SonarQube Server is a robust, self-hosted solution that allows development teams to continuously monitor and enhance code quality and security. It offers automated static analysis for a wide array of programming languages, helping teams detect bugs, vulnerabilities, and inefficiencies early in the development process. With SonarQube Server, users can seamlessly integrate code quality checks into their CI/CD workflows, whether on-premises or in the cloud. The platform provides detailed, actionable reports that help teams reduce technical debt, improve maintainability, and uphold coding standards across projects. Ideal for organizations looking for complete control over their code quality processes, SonarQube Server supports scalability and customization to meet enterprise needs.

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.

CodeScene's powerful features go beyond traditional code analysis. Visualize and evaluate all the factors that influence software delivery and quality, not just the code itself. Make informed, data-driven decisions based on CodeScene’s actionable insights and recommendations. CodeScene guides developers and technical leaders to: - Get a holistic overview and evolution of your software system in one single dashboard. - Identify, prioritize, and tackle technical debt based on return on investment. - Maintain a healthy codebase with powerful CodeHealth™ Metrics, spend less time on rework and more time on innovation. - Seamlessly integrate with Pull Requests and editors, get actionable code reviews and refactoring recommendations. - Set Improvement goals and quality gates for teams to work towards while monitoring the progress. - Support retrospectives by identifying areas for improvement. - Benchmark performance against personalized trends. - Understand the social side of the code, measure socio-technical factors like key personnel dependencies, knowledge sharing and inter-team coordination.

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.

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.

devlo is an AI-driven development assistant designed to streamline the software development workflow by automating common tasks like bug fixes, feature implementation, code optimization, and testing. It seamlessly integrates with GitHub, allowing developers to quickly manage tickets, review pull requests, and generate unit tests with ease. devlo’s AI capabilities enable it to analyze and validate code changes, automate follow-up actions, and perform code reviews in a matter of minutes. By taking over repetitive tasks, devlo frees up development teams to focus on more innovative work, helping them deliver high-quality products at a faster pace. It supports a wide range of programming languages and offers enterprise-grade security features to ensure privacy and data protection.

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/

Ellipsis can review, write, and answer questions about your source codes. Ellipsis uses LLMs to provide thoughtful code reviews, summaries and easy-to accept suggestions. We'll consider your style guide while reviewing. Open an issue and assign it to Ellipsis. This will automate simple changes and bug fixes. You'll receive a pull request in a matter of minutes. Ellipsis can help you ship faster by addressing comments left in pull requests. We'll translate the comments and create tested, working code. Ellipsis does not store or train your source code. It will never commit your default branch and will only open new pull requests or add new commits when you explicitly ask it to.

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.

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.

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.

Cosine is able to understand and provide answers at a superhuman level, whether they are high-level or complex. We are not just an LLM-wrapper. We combine multiple heuristics, including static analysis and semantic search. Ask Cosine to generate a step-by-step guide on how to add new features or modify existing code. Cosine indexes your codebase and understands it on multiple levels. Cosine is able to answer any questions you may have about your codebase, from a graph relationship between functions and files to a deep understanding of the code. Genie is by far the best AI software engineer on the planet - achieving an eval score of 30% on the industry benchmark SWE Bench. Genie can solve bugs, build new features, refactor the code, and do everything else either fully autonomously, or in tandem with the user.

Augment brings your team's collective expertise--codebases, documentation, and dependencies --to your fingertips through chat, code completions and suggested edits. Augment helps you to stay on track, get more done and remain in the flow. Augment is lightning fast and highly secured. It works in your favorite IDEs, and Slack. Suggestions reflect APIs and coding pattern in your company's software so that your team can use them on your actual work. Fast inference, 3x faster than competitors, built on the latest techniques, including custom GPU Kernels, keeps developers in flow. Our custom AI models tuned to code avoid hallucinations, and improve code quality as well as productivity. Improve the use of internal best practice from your senior engineers. Codebase awareness is important for daily tasks, new developer training, code review and more. Our architecture is designed for tenant isolation and built to protect your IP. It's already SOC-2 Type 1 certified and pen-test verified.

Baz provides context and automation for reviewing, tracking, and approving code changes with confidence. Baz transforms the code review and merge process by providing instant application insights and suggestions. This helps you focus on building strong software and shipping it. Baz organizes pull requests into Topics so that you can easily navigate through reviews. Baz analyzes how each piece fits together to uncover breaking changes in APIs, endpoints and parameters. Developers can review and comment on any part of the code they choose. We'll ensure it's fully accessible on both GitHub and Baz. Structured impact analysis is the only way to accurately predict the impact of a change in code. Baz integrates AI with your developer tools to analyse your codebase, map dependency and provide actionable reviews which ensure your code is stable. Invite your team to review your proposed changes. You can easily assign reviewers based upon their past contributions.

DryRun Security is based on our experience in training over 10,000 developers and security professionals to test applications for security and build security products at GitHub. Our experience has shown that all current tools lack a critical feature: security context for developers. Every day, developers make code modifications. They need a tool that gives them security context so they can move faster and be safer. Security code reviews are often too late and slow down the development process. Developers need to know the security context as soon as a pull request opens, so that they can understand the impact of code changes. Most security testing was generic, frustrating developers with repeated alerts and inaccurate results.