Best AI Code Review Tools for Node.js

Cody is a coding assistant AI that lives inside your editor. It can find, explain and write code. Cody combines Large Language Models (LLMs), Sourcegraph Search, and Sourcegraph Code Intelligence to provide answers and eliminate toil for human programmers. Cody is your programmer friend who has read all the open source code, all the StackOverflow questions, and all the private code of your organization. He will always be there to answer any questions or suggest solutions based on his prior knowledge. Enterprises love Cody because it provides choice for: Any scale - Cody works for developer teams of any size, from startups to the biggest companies in the world. Any code host - Every code host and repository, to give the most accurate context from the largest codebases. Any LLM - Sourcegraph’s interoperability allows Cody to work with what LLM and context sources are best for your organization.

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.

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.

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.

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.