Best AI Code Review Tools

Cody, Sourcegraph’s AI code assistant goes beyond individual dev productivity, helping enterprises achieve consistency and quality at scale with AI. Unlike traditional coding assistants, Cody understands the entire codebase, enabling deeper contextual awareness for smarter autocompletions, refactoring, and AI-driven code suggestions. It integrates with IDEs like VS Code, Visual Studio, Eclipse, and JetBrains, providing inline editing and chat without disrupting workflows. Cody also connects with tools like Notion, Linear, and Prometheus to enhance development context. Powered by advanced LLMs like Claude 3.5 Sonnet and GPT-4o, it optimizes speed and performance based on enterprise needs, and is always adding the latest AI models. Developers report significant efficiency gains, with some saving up to six hours per week and doubling their coding speed.

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’s Developer Security Platform automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams. Snyk is used by 1,200 customers worldwide today, including industry leaders such as Asurion, Google, Intuit, MongoDB, New Relic, Revolut and Salesforce. Snyk is recognized on the Forbes Cloud 100 2021, the 2021 CNBC Disruptor 50 and was named a Visionary in the 2021 Gartner Magic Quadrant for AST.

Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.

Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Integrate Amazon CodeGuru into your existing software development workflow where you will experience built-in code reviews to detect and optimize the expensive lines of code to reduce costs. Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code along with specific visualizations and recommendations on how to improve code to save money. Amazon CodeGuru Reviewer uses machine learning to identify critical issues and hard-to-find bugs during application development to improve code quality.

CodeSandbox is a cloud development platform that empowers development teams to code, collaborate, and ship projects of any size from any device in record time. Run your code in powerful microVMs and build anything without limits. We configure your environment for you and keep your code always ready, behind a URL. Boxy, the CodeSandbox AI coding assistant, is also now available to all Pro subscribers.

A framework built specifically for the challenges of autonomous intelligence. Continue to write software using your language practices, libraries, APIs, data and models. Your proprietary autonomous product that adapts and scales with your development. Autonomous AI can automate video creation by generating, editing, and optimizing content, significantly reducing manual tasks in the production process. By integrating with AI tools like Luma AI or OpenAI for video generation, and scaling text-to-speech on Azure, your autonomous system can produce high-quality video content By integrating with platforms like YouTube your autonomous AI can continuously improve based on feedback and engagement metrics. We believe the most promising path to AGI is in the orchestration of millions of autonomous systems. We are a small group of passionate engineers and researchers dedicated to building autonomous artificial intelligence. If this sounds interesting to you, we would love to hear from you.

Patched is a managed service that leverages the open-source framework Patchwork to automate development tasks such as code reviews, bug fixing, security patching, and documentation. By utilizing large language models, Patched enables developers to build and deploy AI-assisted workflow, referred to as "patch flows", that autonomously handle post-code activities, thereby enhancing code quality and accelerating development cycles. The platform offers a user-friendly graphical interface and a visual workflow builder, allowing for the customization of patch flows without the need to manage infrastructure or LLM endpoints. For those who prefer self-hosting, Patchwork provides a self-hosted command-line interface agent that integrates seamlessly with existing development pipelines. Patched emphasizes privacy and control, enabling deployment within an organization's infrastructure using its own LLM API keys.

Experience the power of AI in your coding process. CodeMind offers insightful suggestions that will elevate your code to new heights. Use different features from your version control. Get your code reviewed, catch bugs, and get ideas on how you can improve the code. Get a summary of merge requests to help reviewers better review your code. While you are reviewing, if the code looks complex, ask for an explanation. Explain application code, infrastructure code, and complex regex. Managing code reviews can be a challenging task. Manually reviewing each line of code is time-consuming, prone to human error, and might overlook potential optimization opportunities. We're here to transform this process. Our tool expedites the review process, freeing up your valuable time for what truly matters, writing great code. Our AI-driven tool offers in-depth code review, identifying potential issues that can be missed during manual reviews.

Summarize pull request changes concisely to help the team quickly understand their impact. Detect and auto-fix code quality issues and anti-patterns for 30+ languages. Scan every code change for OWASP, CWE, SANS, and NIST vulnerabilities, and fix them. Scan every PR against over 10,000 policies to detect infrastructure as code issues and understand their impact. Identifies and protects sensitive information in your codebase, including API keys, tokens, and other secrets. Identify potential issues in code logic, and data structures, and understand their impact. Get a Code Health Dashboard and gain instant visibility into your code and infrastructure's health. Identify high-severity issues, understand their impact, and fix them. Receive weekly executive reports on new issues found, fixed, and pending resolution. Your pair programmer that will help you find and auto-fix over 5000+ code quality issues and security vulnerabilities without leaving the IDE.

Baz delivers the context and automation to review, track, and approve code changes with confidence. Baz transforms your code review and merging process by giving instant application insights and suggestions, helping you focus on building and shipping strong software. Baz organizes your pull request into Topics, so you can breeze through reviews with a clear structure. Baz uncovers breaking changes across APIs, endpoints, parameters, and more, analyzing how every piece fits together. Developers can review, comment, and suggest wherever they want. We'll make sure it's fully visible both on GitHub and Baz. The only way to predict the true impact of a code change is through structured impact analysis. Baz integrates AI and your developer tools to analyze your codebase, map dependencies, and provide actionable reviews that ensure your code’s stability. Plan your proposed changes and invite your team to review them. Easily assign relevant reviewers based on past contributions.

Pull Sense is an AI-powered code review assistant designed to enhance development workflows by automating pull request reviews within GitHub. It provides instant, intelligent feedback on code changes, identifying potential bugs, security vulnerabilities, and areas for improvement, thereby streamlining the review process and maintaining consistent coding standards. Users can integrate their own AI models, such as Anthropic, OpenAI, or Deepseek, by utilizing their API keys, ensuring flexibility and control over the review process. The platform generates contextual inline comments directly within pull requests, offering actionable insights without disrupting existing workflows. Teams can define and enforce custom coding standards through flexible configuration options, promoting uniformity across codebases. With a quick setup process, Pull Sense seamlessly integrates with GitHub, allowing users to start reviewing code in minutes.