Best AI Code Review Tools

Junie is JetBrains' AI coding agent, built to be cost-efficient. It plans with a powerful model and implements with a faster one, so you spend fewer tokens per task while getting the same quality. On the independent SWE-Rebench benchmark, Junie resolves more real-world coding issues than other leading agents, at a lower cost per task. Junie supports the latest models from major frontier labs on day zero, so you're never waiting on integration work to use what just shipped. It works with almost any model you choose, inside IDEs like IntelliJ IDEA, directly from the terminal, or from GitHub and GitLab issues and merge requests. A human stays in the loop. Junie asks for approval before risky actions, and you can redirect it mid-task instead of starting over. Teach Junie your team's coding standards, naming conventions, and review process, and switch from another AI coding agent in seconds with no extra setup.

Claude Code is an AI-powered coding agent designed to work directly inside your existing development environment. It goes beyond simple autocomplete by understanding entire codebases and helping developers build, debug, refactor, and ship features faster. Developers can interact with Claude Code from the terminal, IDEs, Slack, or the web, making it easy to stay in flow without switching tools. By describing tasks in natural language, users can let Claude handle code exploration, modifications, and explanations. Claude Code can analyze project structure, dependencies, and architecture to onboard developers quickly. It integrates with common command-line tools, version control systems, and testing workflows. This makes it a powerful companion for both individual developers and teams working on complex software projects.

Devin Desktop (formerly Windsurf) is an AI-powered development environment that combines a full-featured IDE with advanced coding agents in a unified workspace. Formerly known as Windsurf, the platform enables developers to manage local and cloud-based AI agents, delegate tasks, review code, and ship software without leaving their editor. Developers can use multiple coding agents simultaneously to research, write, test, debug, and improve code while maintaining full visibility into every change. Devin Desktop includes features such as agent orchestration, shared workspaces, intelligent code completion, contextual code search, and integrated review tools. The platform supports a wide range of models, extensions, language servers, and MCP integrations, allowing teams to work with their preferred tools and workflows. Devin Desktop helps engineering teams accelerate software development, improve productivity, and manage AI-assisted coding at scale.

Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.

GitHub Copilot is an AI-powered development assistant designed to accelerate software workflows from the editor to the enterprise. It works directly inside popular IDEs, terminals, and GitHub itself to help developers write, understand, and improve code faster. Copilot supports multiple leading large language models, allowing users to optimize for speed, accuracy, or cost. Developers can use Copilot to complete code, explain concepts, propose edits, and validate files in real time. It also enables agent-based workflows where Copilot can autonomously handle issues, write code, and create pull requests. With seamless integration across tools, Copilot keeps developers focused without breaking their flow. GitHub Copilot is built to scale from individual developers to large organizations with enterprise-grade controls.

Augment Code is an AI-powered coding agent designed specifically for professional software engineers working with large codebases. It integrates seamlessly with popular IDEs like Visual Studio Code, IntelliJ IDEA, and Vim, offering tools for SDK migration, code refactoring, and documentation. Augment Code enhances developers’ productivity by understanding their unique code style and context, providing personalized recommendations and explanations. The platform supports over 100 native and MCP tools, allowing engineers to debug and code more efficiently without switching between different applications.

Cursor is an AI coding agent and development platform for building ambitious software faster. The platform lets developers hand off tasks to agents that can build, test, demo, and prepare features for review. Cursor supports autonomous and parallel agent workflows, including cloud agents that can work on multiple tasks across repositories. It runs across the editor, terminal, Slack, and GitHub, helping teams automate coding, code review, PR workflows, and repetitive engineering work. Cursor also lets users choose from leading AI models for different tasks, including models from OpenAI, Anthropic, Gemini, SpaceXAI, and Cursor. Built for developers, engineering teams, and enterprises, Cursor helps accelerate software development while keeping humans focused on decisions and review.

GoCodeo is an AI-powered coding assistant designed to enhance developer productivity by automating code generation, testing, and debugging. Integrated with VS Code, the platform helps developers build, test, and deploy applications faster and more efficiently. It provides real-time AI-driven suggestions for coding, generates production-ready tests in under 30 seconds, and offers intelligent debugging with failure insights. GoCodeo supports over 25 programming languages and frameworks, making it a versatile tool for developers working in various environments. With its seamless integration and powerful AI capabilities, GoCodeo simplifies workflows and boosts development speed.

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 Q Developer is a generative AI–powered coding assistant from AWS that helps developers accelerate the entire software development lifecycle. It integrates directly into popular IDEs like JetBrains, VS Code, Visual Studio, and Eclipse, providing real-time code suggestions, refactoring, documentation, and debugging assistance. Beyond coding, Amazon Q Developer supports agentic capabilities—autonomously performing tasks like feature implementation, testing, and modernization of applications. As an AWS-native expert, it helps optimize cloud resources, diagnose issues, and guide users through architectural best practices. The platform also enables seamless data and AI integration, allowing developers to build analytics and ML applications using natural language. With up to 80% faster development speed and 40% productivity gains, Amazon Q Developer delivers enterprise-grade intelligence directly inside the tools developers use every day.

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 Sonnet 4 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.

Cosine is an AI-powered software engineering platform that enables developers and engineering teams to automate coding workflows, run autonomous development tasks, and manage complex software projects across cloud and local environments. Through its cloud platform, developers can delegate coding tasks to AI agents that independently research, write, test, and iterate on code while operating in secure, isolated MicroVM environments. The platform supports multiple operational modes, including autonomous execution, planning, collaborative agent swarms, and manual review workflows, allowing teams to balance automation with human oversight. By combining parallel agent execution, remote infrastructure access, and model-agnostic support for leading AI models, Cosine helps organizations accelerate software delivery while maintaining control, security, and code quality.

Get away from essay writing, Squire writes pull request descriptions for you. Keep your team in sync with a clear description and changelog. With an agentic workflow, Squire has a team reviewing your PR with the full context of your codebase. Able to catch many issues like systemic breaking changes, security concerns, and even small spelling mistakes. We improve code quality and get your PR into production. Squire is a context-aware agent who works with you to write pull request descriptions, review PRs, and learn how you like your code reviewed. Squire learns how your team reviews code and fits your style with explicit configuration and learning from your team's interactions. Map and synchronize ownership and responsibility across your entire engineering stack. Maintain compliance by applying and maintaining rules on your engineering components.

Save time and effort by assigning smaller tickets to an AI agent. Tusk helps software engineers complete chore tickets at the speed of thought. Tusk automatically iterates on its code changes to address any code reviews left on the pull request. No good engineer pushes code without testing. Tusk runs your automated checks and tests to make sure the PR works. If we can’t create a pull request, we’ll still save you time by providing code context as a jumping-off point. With Tusk, you can avoid getting distracted by your PMs over chore tickets. Focus your time on fulfilling work, while also raising the bar on your product. Customer-reported bugs can be time-consuming to investigate and tackle. Let Tusk have the first pass at fixing them. We know you have better things to do than removing a word in a header or finding and replacing a term across multiple files. Have Tusk go through your product quality backlog. We'll implement the UI/UX changes that you've been neglecting for weeks.

Pythagora is an AI-powered platform designed to help developers build full-stack web applications with minimal coding effort. It integrates a suite of AI agents that collaborate to write code, review it, build tests, debug, and deploy apps. By automating many tasks involved in the software development lifecycle, Pythagora enables developers to work more efficiently and accelerate the development process. The platform supports frontend development in React and backend in Node.js, with Python support coming soon. With its ability to handle multiple aspects of development, Pythagora is ideal for quickly building both MVPs and production-ready applications. It simplifies the creation of scalable and maintainable applications, making it suitable for both small startups and large enterprises.

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.

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.

Nora is described as a “deep reasoning agent” built for software development with a special focus on Web3 stacks. The platform supports major smart-contract languages like Solidity, Move, Cairo, and Rust and adapts to their execution models and semantics. It is compiler- and VM-aware by design: it understands bytecode generation, control flow, instruction-level transformations, and custom runtime environments (EVM, WASM, etc.). Its debugging and validation capabilities are context-aware, enabling it to identify subtle bugs, unintended state behaviors, and architectural bottlenecks across complex codebases. Nora also aims to accelerate the path from idea to product by assisting teams with core module development, interface wiring, integration testing, deployment logic, and maintaining architectural integrity, helping reduce context-switching and speed up Web3 productization.

Assign tickets, and get high-quality production code powered by AI agents and our global developer community. Increase your capacity without increasing the engineering headcount. If you have more items on your plate than the capacity to ship them, assign them to GitStart. We believe coding can change lives and we are on a mission to grow the world's future software talent. Select which parts of your repo GitStart can access with our secure git-sharing tool. Share only what you want at all times, and keep your configuration file under your lock and key. Assign sprint-sized tickets and our LLM assistant will help you translate requirements into a fully-formed ticket. No one likes long review cycles, so GitStart pushes PRs that have been through internal code and QA checks. You review the work in your repo, request any necessary changes, and merge. You can approve or reject each PR cost estimate once we've understood the scope and before we start any work.

Factory.ai is an agent-native software development platform designed to automate and accelerate engineering workflows. It enables developers to delegate complex tasks like refactoring, migrations, and incident response to AI-powered agents called Droids. The platform integrates seamlessly into existing tools such as IDEs, terminals, and collaboration apps. Developers can continue using their preferred environments like VS Code, JetBrains, or command line interfaces. Factory.ai works across the entire development lifecycle, from coding to CI/CD pipelines. It is built with enterprise-grade security to protect data and intellectual property. Overall, Factory.ai enhances productivity by enabling AI agents to work alongside developers without disrupting workflows.

Amplify Security created the agentic security harness, a new category of application security built for how software is actually written now, including the surge of AI-generated code. Rather than flagging problems after the fact, Amplify works autonomously inside the CI/CD pipeline to surface and remediate vulnerabilities before they ship. It deploys in the cloud or on-premises and fits existing developer workflows, giving security and engineering teams coverage that keeps pace with modern, high-velocity development.