List of the Top 25 SaaS AI Code Review Tools in 2026

ZeroPath is the AI-native SAST that finds vulnerabilities traditional tools miss. We built it because security shouldn't overwhelm developers with noise. Unlike pattern-matching tools that flood you with false positives, ZeroPath understands your code's intent and business logic. We find authentication bypasses, IDORs, broken auth, race conditions, and business logic flaws that actually get exploited and missed by traditional SAST tools. We auto-generate patches and pull requests that match your project's style. 75% fewer false positives, 200k+ scans run per month, and ~120 hours saved per team per week. Over 750 organizations use ZeroPath as their new AI-native SAST. Our research has uncovered critical vulnerabilities in widely-used projects like curl, sudo, OpenSSL, and Better Auth (CVE-2025-61928). These are the kinds of issues off-the-shelf scanners and manual reviews miss, especially in third-party dependencies. ZeroPath is an all-in-solution for your AppSec teams: 1. AI-powered SAST 2. Software Composition Analysis with reachability analysis 3. Secrets detection and validation 4. Infrastructure as Code scanning 5. Automated PR reviews 6. Automated patch generation and more...

Introducing an advanced AI-driven code review system that enhances code quality and identifies vulnerabilities at an early stage. Effortlessly correct issues directly within your Integrated Development Environment (IDE) or through pull requests. Aikido serves as your comprehensive software security hub, covering everything from vulnerability management to penetration testing. Ensure the security of all applications you create, host, and manage. Designed for teams of all sizes, Aikido empowers organizations to deliver secure software solutions, earning the trust of notable companies such as Revolut, Deel, The Premier League, Tines, n8n, SoundCloud, and over 50,000 more. Aikido allows developers to focus on what they do best: building great products.

Windsurf is an innovative IDE built to support developers with AI-powered features that streamline the coding and deployment process. Cascade, the platform’s intelligent assistant, not only fixes issues proactively but also helps developers anticipate potential problems, ensuring a smooth development experience. Windsurf’s features include real-time code previewing, automatic lint error fixing, and memory tracking to maintain project continuity. The platform integrates with essential tools like GitHub, Slack, and Figma, allowing for seamless workflows across different aspects of development. Additionally, its built-in smart suggestions guide developers towards optimal coding practices, improving efficiency and reducing technical debt. Windsurf’s focus on maintaining a flow state and automating repetitive tasks makes it ideal for teams looking to increase productivity and reduce development time. Its enterprise-ready solutions also help improve organizational productivity and onboarding times, making it a valuable tool for scaling development teams.

Qodo, which was previously known as Codium, offers an analysis of your code to detect potential bugs prior to deployment. By mapping out the behaviors inherent in your code, it effectively pinpoints edge cases and highlights any areas of concern. Subsequently, Qodo produces clear and meaningful unit tests that align with your code's functionality. This allows you to observe how your code operates and assess the impact of modifications on the surrounding codebase. With a keen focus on code coverage, it emphasizes the importance of high-quality tests that validate functionality, thereby instilling confidence in your commitment to the code. Instead of spending excessive time on dubious testing, you can redirect your efforts toward developing features that genuinely benefit your users. As you write, Qodo analyzes your code, documentation, and comments to propose tests that can be easily integrated into your suite. Committed to maintaining code integrity, Qodo not only generates tests but also aids in deepening your understanding of the code, exposing edge cases, and identifying any suspicious behaviors, ultimately enhancing the robustness of your software. By using Qodo, you can ensure a more efficient development process, allowing you to prioritize quality alongside productivity.

Bito reduces code review time by 89%, helping teams ship faster with fewer regressions. Our AI Code Reviews analyze your full codebase to deliver high-quality suggestions on every pull request. Expect improved consistency and freed up senior engineers. Bito works with GitHub, GitLab, and Bitbucket and installs in seconds. No data retained. No AI model training.

Amp is a frontier coding agent designed to redefine how developers interact with AI during software development. Built for use in terminals and modern editors, Amp allows engineers to orchestrate powerful AI agents that can reason across entire repositories, not just isolated files. It supports advanced workflows such as large-scale refactors, architecture exploration, agent-generated code reviews, and parallel course correction with forced tool usage. Amp integrates leading AI models and layers them with robust context management, subagents, and continuous tooling improvements. Developers can let agents run autonomously, trusting them to produce consistent, high-quality results across complex projects. With strong community adoption, rapid feature releases, and a focus on real engineering use cases, Amp stands out as a premium, agent-first coding platform. It empowers developers to ship faster, explore deeper, and build systems that would otherwise require significantly more time and effort.

Augment Code is a cutting-edge AI coding agent designed to support software engineers working with complex, large-scale codebases. The platform integrates smoothly with major IDEs like Visual Studio Code, IntelliJ IDEA, and Vim, providing a range of powerful tools for SDK migration, code refactoring, and documentation generation. Augment Code stands out by learning from each interaction, adapting to the developer's code style, and persisting this knowledge to improve code generation and explanations over time. This personalized approach allows engineers to write code with the same expertise as senior developers, regardless of their experience level. With over 100 supported native and MCP tools, Augment Code enables seamless integration into existing workflows, whether debugging, refactoring, or managing multiple repositories. The agent also works with popular platforms like GitHub and Slack, ensuring that engineers can collaborate and manage their codebase efficiently without ever leaving their preferred tools. By offering real-time feedback and deep context awareness, Augment Code helps developers tackle complex projects with ease and confidence. The platform’s ability to handle large repositories, debug with images, and generate high-quality code snippets significantly enhances productivity. Trusted by leading companies, Augment Code is the ultimate tool for modern developers aiming to produce high-quality code while saving time and effort.

SonarQube Server functions as a self-managed platform for continuous code quality evaluation, empowering development teams to identify and resolve bugs, security vulnerabilities, and code deficiencies instantly. It offers automated static analysis for various programming languages, ensuring rigorous adherence to quality and security benchmarks throughout the software development lifecycle. Moreover, SonarQube Server seamlessly integrates with existing CI/CD processes, accommodating both on-premise and cloud-based installations. With its advanced reporting features, it aids teams in tackling technical debt, tracking progress, and upholding coding standards. This tool is especially beneficial for organizations that seek thorough oversight of their code quality and security while sustaining optimal performance. In addition, SonarQube promotes a culture of ongoing enhancement within development teams, motivating them to take proactive steps toward improving code reliability over time. Ultimately, the platform not only enhances code quality but also strengthens team collaboration and accountability in software development projects.

Snyk stands at the forefront of developer security, empowering developers globally to create secure applications while also providing security teams with the tools necessary to navigate the complexities of the digital landscape. By prioritizing a developer-centric approach, we enable organizations to safeguard every vital element of their applications, spanning from code to cloud, which results in enhanced productivity for developers, increased revenue, higher customer satisfaction, reduced costs, and a stronger security framework overall. Our platform is designed to seamlessly integrate into developers' workflows and fosters collaboration between security and development teams, ensuring that security is woven into the fabric of application development. Furthermore, Snyk's commitment to innovation continually evolves to meet the changing demands of the security landscape.

GoCodeo serves as an all-encompassing AI platform tailored for developers, designed to expedite the processes of coding, testing, and debugging. By seamlessly integrating with VS Code, it delivers real-time support that ranges from generating code snippets to automatically producing unit tests. The platform’s AI-powered tools further enhance productivity by offering valuable debugging insights, allowing developers to swiftly pinpoint and resolve problems. With its compatibility across various programming languages and frameworks, GoCodeo enables developers to create high-quality, production-ready code with greater ease, optimizing development timelines and improving overall project efficiency. Ultimately, GoCodeo is a vital resource for developers seeking to elevate their coding experience and achieve faster results.

Accelerate the speed and efficiency of software development and delivery by harnessing the power of generative AI, while maintaining strong enterprise security and privacy measures. Gemini Code Assist enhances your coding experience through its ability to complete your code in real-time and generate full code segments or functions upon request. This dynamic coding tool is compatible with a wide range of popular integrated development environments (IDEs) such as Visual Studio Code and various JetBrains IDEs, including IntelliJ, PyCharm, GoLand, and WebStorm, as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 different programming languages like Java, JavaScript, Python, C, C++, Go, PHP, and SQL. With a user-friendly natural language chat interface, Gemini Code Assist allows for seamless interaction, providing answers to your programming questions or offering insights into best coding practices, and this chat feature is available across all supported IDEs. Organizations can customize Gemini Code Assist by integrating their proprietary codebases and knowledge libraries, thus enabling the tool to deliver more tailored assistance that meets unique enterprise requirements. Moreover, Gemini Code Assist is designed to facilitate substantial changes across entire codebases, thereby greatly enhancing the development workflow. This versatile approach not only increases productivity but also empowers teams to innovate at a faster pace in a secure setting, ultimately driving success in software projects. As organizations adapt to evolving technological landscapes, tools like Gemini Code Assist become essential in maintaining a competitive edge.

Amazon Q Developer is AWS’s most capable generative AI assistant for software development, engineered to enhance productivity across every phase of the build cycle. Available as a plugin for JetBrains, VS Code, Visual Studio, Eclipse, and the command line, it brings real-time code generation, debugging, and documentation directly into the developer’s workspace. Unlike simple autocomplete tools, its agentic capabilities allow it to autonomously complete complex tasks—implementing new features, performing code reviews, running tests, and upgrading legacy applications with minimal human input. It’s deeply integrated with the AWS ecosystem, offering expertise in cloud optimization, cost management, and operational diagnostics. Teams can engage Amazon Q in Slack, Microsoft Teams, GitHub, and GitLab for seamless collaboration, architecture guidance, and incident troubleshooting. The platform also supports data-driven development, helping users build analytics pipelines and machine learning workflows using natural language prompts. Its privacy-first design ensures that proprietary content is never used to train models, while AWS IAM-based access controls maintain enterprise security standards. Internal studies report up to 80% faster development speeds and a 37% acceptance rate for multi-line code suggestions—among the best in the industry. Whether upgrading Java apps, managing DevOps pipelines, or designing AI projects, Amazon Q Developer accelerates innovation while reducing friction. With flexible deployment and perpetual free access for limited use, it’s redefining the developer experience for the AI era.

Claude Code is an advanced AI coding assistant created to deeply understand and work within real software projects. Unlike traditional coding tools that focus on syntax or snippets, it comprehends entire repositories, dependencies, and architecture. Developers can interact with Claude Code directly from their terminal, IDE, Slack workspace, or the web interface. By using natural language prompts, users can ask Claude to explain unfamiliar code, refactor components, or implement new features. The tool performs agentic searches across the codebase to gather context automatically, removing the need to manually select files. This makes it especially valuable when joining new projects or working in large, complex repositories. Claude Code can also run CLI commands, tests, and scripts as part of its workflow. It integrates with version control platforms to help manage issues, commits, and pull requests. Teams benefit from faster iteration cycles and reduced context switching. Claude Code supports multiple powerful Claude models depending on the plan selected. Usage scales from short sprints to large, ongoing development efforts. Overall, it acts as a collaborative coding partner that enhances productivity without disrupting established workflows.

ThinkReview represents a groundbreaking AI-driven solution for code review, tailored specifically for developers using GitLab and Azure DevOps, and it offers instant evaluations of merge requests and pull requests directly in the web interface. The tool simplifies the process by automatically identifying when a merge or pull request is accessed, gathering the necessary code alterations, and displaying an AI-curated review panel that includes brief summaries, security notifications, quality suggestions, and auto-generated remarks. Developers can engage conversably with the code changes, ask questions, regenerate insights from the reviews, and receive thought-provoking follow-up queries that encourage more comprehensive discussions. It supports both self-hosted and cloud environments, functions effortlessly without requiring extensive setup, and is delivered as a browser extension with features such as automatic detection of merge and pull requests, smart summaries, comment generation, and compatibility with various programming languages. By emphasizing user-friendliness and efficiency, ThinkReview seeks to improve code quality and accelerate the review process by seamlessly integrating AI into developers' workflows, which ultimately cultivates a more productive environment for coding. The ability to streamline code reviews allows teams to uphold high standards while also shortening development timelines, making it a vital asset for modern software development.

Amazon CodeGuru is a cutting-edge tool designed for developers that employs machine learning to provide valuable recommendations for improving code quality while identifying the most expensive lines of code within an application. By integrating Amazon CodeGuru into your existing software development workflow, you can take advantage of automated code reviews that help highlight and enhance these costly segments of code, ultimately leading to lower overall expenses. In addition, Amazon CodeGuru Profiler aids developers by pinpointing the most resource-demanding lines of code, offering detailed visual representations and actionable advice for optimizing the code to save costs. Moreover, Amazon CodeGuru Reviewer uses machine learning techniques to uncover critical issues and subtle bugs during the application development process, thus improving the code's overall quality. This all-encompassing strategy not only simplifies the development process but also cultivates a more efficient and economically viable coding environment. By leveraging these tools, developers can significantly enhance both their productivity and the reliability of their applications.

Velocity delivers comprehensive, context-rich analytics that empower engineering leaders to assist their team members, overcome obstacles, and enhance engineering workflows. With actionable metrics at their fingertips, engineering leaders can transform data from commits and pull requests into the essential insights needed to drive meaningful improvements in team productivity. Quality is prioritized through automated code reviews focused on test coverage, maintainability, and more, allowing teams to save time and merge with confidence. Automated comments for pull requests streamline the review process. Our 10-point technical debt assessment provides real-time feedback to ensure discussions during code reviews concentrate on the most critical aspects. Achieve perfect coverage consistently by examining coverage on a line-by-line basis within diffs. Avoid merging code that hasn't passed adequate tests, ensuring high standards are met every time. Additionally, you can swiftly pinpoint files that are frequently altered and exhibit poor coverage or maintainability challenges. Each day, monitor your advancement toward clearly defined, measurable goals, fostering a culture of continuous improvement. This consistent tracking helps teams stay aligned and focused on delivering high-quality code efficiently.

Speeding up the review process without sacrificing the quality of feedback allows senior developers to tackle more intricate projects. Your engineering team is a vital and expensive resource. HOJI AI empowers them to focus on their essential skills, further boosting their efficiency. We value your privacy and do not use, store, or train on your codebase; we retain only excerpts from code reviews for your reference and quality assurance purposes. By utilizing a powerful AI framework that builds on GPT-4, HOJI AI can access context in groundbreaking ways that typical GPT models cannot, offering a meaningful advantage in code assessment. This strategy enables teams to optimize their workflows while maintaining the integrity of their coding standards. Ultimately, the combination of advanced AI capabilities and a commitment to quality ensures that your team can achieve even greater successes.

CodeScene offers advanced capabilities that extend well beyond conventional code analysis methods. It allows for the visualization and assessment of various elements that affect software delivery and quality, moving past a mere focus on the code itself. By leveraging CodeScene’s actionable insights and recommendations, users can make informed decisions driven by data. The platform empowers developers and technical leaders to: - Obtain a comprehensive view of their software system's evolution through a unified dashboard. - Recognize, prioritize, and address technical debt while considering the potential return on investment. - Foster a robust codebase utilizing robust CodeHealth™ Metrics, reducing rework and allocating more resources to innovation. - Easily integrate with Pull Requests and development environments to receive actionable code reviews and refactoring suggestions. - Establish improvement objectives and quality thresholds for teams, all while tracking their progress. - Enhance retrospectives by pinpointing areas that require development. - Evaluate performance against customized trends to ensure continuous improvement. - Grasp the social dynamics of the code by measuring socio-technical aspects such as key personnel dependencies, knowledge sharing, and collaboration between teams effectively. Overall, CodeScene not only improves code quality but also enhances team collaboration and project management.

CodeSandbox is designed to simplify the process of expressing and validating your coding ideas while eliminating the complexities associated with setting up development environments and sharing projects. The platform has garnered over 4 million monthly users, including notable organizations such as Shopify and Atlassian, and since its inception, more than 35 million applications have been developed by creators. It plays a vital role in numerous open-source projects, including popular frameworks like React, Vue, and Babel. Users can easily invite friends or team members to collaborate or view their projects through a simple URL, and they have access to over 1 million packages to build robust applications efficiently. Additionally, developers can import and execute repositories straight from GitHub or select from a variety of templates to get started in no time. Furthermore, Boxy, the AI-driven coding assistant from CodeSandbox, is now accessible to all users with Pro subscriptions, enhancing the coding experience even further. This combination of features positions CodeSandbox as a leading tool in the future of web development.

Eliminate obstacles related to onboarding, knowledge barriers, or frequent context switching by leveraging Swimm, which enables you to create and update documents that are intricately connected to your code, continuously refreshed, and integrated into your workflow. Swimm features a versatile editor and innovative tools like Smart Tokens and Snippet Studio, laying the groundwork for effective modern documentation strategies. Effortlessly produce engaging documents enriched with multimedia elements that are directly linked to your codebase. Thanks to the Auto-sync algorithm, your documentation stays in sync with any code refactoring or structural alterations, thus relieving you from the burden of manually updating file names, function names, or other implementations. Swimm keeps a close watch on your documentation while your code evolves, notifying you of any inconsistencies that may develop. You can easily view documents alongside the appropriate code, which helps maintain your concentration within your integrated development environment (IDE). By clicking a link, a new tab will open, displaying the documentation beautifully rendered from Markdown, which fosters a smooth and continuous workflow. This efficient method not only bolsters teamwork but also significantly increases productivity, empowering teams to collaborate more effectively. With Swimm, the focus on documentation becomes a seamless part of your development journey, transforming how teams share knowledge and manage information.

Cody is a sophisticated AI coding assistant created by Sourcegraph to improve software development's efficiency and quality. It works effortlessly within popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains tools, offering features like AI-enhanced chat, code autocompletion, and inline editing, all while preserving existing workflows. Tailored forenterprise teams, Cody focuses on maintaining consistency and quality throughout entire codebases by leveraging extensive context and shared prompts. Moreover, it broadens its contextual insights beyond mere code by integrating with platforms like Notion, Linear, and Prometheus, thus creating a comprehensive picture of the development landscape. By utilizing advanced Large Language Models (LLMs), including Claude Sonnet 4 and GPT-4o, Cody provides customized assistance that can be fine-tuned for various applications, striking a balance between speed and performance. Users have reported notable increases in productivity, with some indicating time savings of around 5-6 hours weekly and a doubling of their coding efficiency when utilizing Cody. As developers continue to explore its features, the potential for Cody to transform coding practices becomes increasingly evident.

Cosine possesses the ability to understand both overarching ideas and detailed specifics, providing responses that exceed human performance. Our methodology goes beyond being a simple enhancement to an LLM; it incorporates a variety of techniques such as static analysis and semantic search, among others. When you inquire about implementing a new feature or modifying existing code, simply ask Cosine, and we will deliver a thorough, step-by-step guide tailored to your needs. Cosine carefully organizes your codebase, gaining insights on multiple levels; from the interconnections between files and functions to a detailed semantic analysis of the code itself, guaranteeing that any question related to your codebase can be thoroughly answered. On the other hand, Genie is recognized as the premier AI software engineer, achieving an outstanding evaluation score of 30% on the respected SWE-Bench benchmark. It demonstrates remarkable proficiency in debugging, feature development, and code refactoring, executing these tasks either autonomously or in conjunction with the user, fostering a collaboration that feels like working with a colleague rather than just having a copilot. Both Cosine and Genie revolutionize the expectations for what AI can accomplish in the realm of software engineering, setting a new benchmark for the industry. This evolution in AI capabilities signals a transformative shift in how developers approach coding challenges, ultimately enhancing productivity and innovation.

Collaborate effortlessly with your team and AI while retaining your favorite tools, minimizing disruptions and context-switching. Pullflow integrates user identities and code-review workflows across platforms like GitHub, Slack, and VS Code, facilitating seamless discussions regardless of where you are. You can start tasks from any platform and smoothly transition back to your projects. With its integrations into GitHub Actions, external CI/CD systems, and various GitHub apps, Pullflow offers an all-encompassing view of your pull requests, covering everything from drafts and reviews to testing and deployment. Let Pullflow streamline your tasks with just a chat mention or a quick keyboard shortcut in your IDE, allowing you to request reviews, manage labels, give feedback, approve changes, and undertake other activities without the need to switch over to GitHub. This efficient method not only boosts productivity but also helps maintain your concentration, making teamwork more effective and enjoyable. Ultimately, Pullflow empowers you to focus on your work while enhancing the collaborative experience.

Discover a privacy-focused method for evaluating pull requests that delivers comprehensive code suggestions for every line, coupled with a dynamic chat feature that evolves with use. The system effectively summarizes changes within the pull request, clarifying the intent behind each modification. Automated release notes are generated to facilitate seamless integration into your release documentation. Every code change undergoes meticulous review, offering precise and actionable feedback that can be readily applied. You can interact with the bot by posing questions directly linked to your code and providing extra context for generating tailored code snippets. As your dialogue with the bot expands, its capabilities enhance, resulting in faster review cycles and improved quality of code change recommendations. Your privacy is preserved throughout this process, allowing the system to customize the review experience to meet your specific requirements. This innovative approach continuously evolves, improving the relevance of its suggestions to better align with your unique coding style and preferences as you interact with it over time. By fostering this dynamic relationship, developers can achieve a more efficient workflow and greater satisfaction in their coding practices.

Ellipsis is an AI-powered development assistant focused on automated code reviews and intelligent bug detection. It reviews every commit in a pull request to surface logical errors, style violations, and maintainability issues. Ellipsis operates directly inside GitHub, making adoption fast and frictionless. Developers can ask questions, request fixes, or assign tasks through simple comments. The platform generates tested code changes without making unauthorized commits. Ellipsis supports natural-language style guides to enforce consistent coding standards. It continuously improves its feedback based on developer preferences. Built-in changelog and summary generation saves engineering time. Ellipsis is SOC 2 certified and does not retain source code after processing. Public repositories can use Ellipsis for free. Paid plans provide unlimited usage per developer seat. Ellipsis helps teams move faster while maintaining trust and code quality.