Best Code Review Tools for GitLab

Gearset’s Code Reviews integrates high-level static code and configuration analysis seamlessly into your Salesforce DevOps processes. Evaluate all critical components – including Apex, Lightning Web Components, Flows, Aura, Visualforce, and metadata – all from a single platform. Identify and prevent potential issues early with integrated quality and security checkpoints. Choose from a selection of pre-configured rule sets that adhere to OWASP and Well-Architected guidelines, or create your own custom rules. Incorporate code analysis directly into pull requests and your CI/CD pipeline, transforming quality checks into an automatic aspect of your workflow rather than an afterthought. Promote consistency and ongoing enhancement: establish team-wide standards, monitor historical data, assess technical debt, and empower your developers with actionable feedback. Mitigate risks by spotting problematic patterns before they escalate in production, and enforce robust governance over your codebase.

Introducing an advanced code review solution powered by AI that addresses issues in your code. Ensure high-quality coding standards and tackle vulnerabilities right from the start. Effortlessly resolve these issues directly in your integrated development environment (IDE) or through pull requests. Aikido serves as your comprehensive software security headquarters, covering everything from vulnerability management to penetration testing. Safeguard every aspect of your development, hosting, and operational processes. Designed to accommodate teams of all sizes, Aikido empowers companies to deliver secure software efficiently. It’s trusted by industry leaders such as Revolut, Deel, The Premier League, Tines, n8n, SoundCloud, and over 50,000 other organizations. With Aikido, developers can focus more on creating and innovating.

Visual Expert is a static code analyzer for Oracle PL/SQL, SQL Server T-SQL and PowerBuilder. It identifies code dependencies to let you modify the code without breaking your application. It also scans your code to detect security flaws, quality, performance and maintenability issues. Identify breaking changes with impact analysis. Scan the code to find security vulnerabilities, bugs and maintenance issues. Integrate continuous code inspection in a CI workflow. Understand the inner workings and document your code with call graphs, code diagrams, CRUD matrices, and object dependency matrices (ODMs). Automatically generate source code documentation in HTML format. Navigate your code with hyperlinks. Compare two pieces of code, databases or entire applications. Improve maintainability. Clean up code. Comply with development standards. Analyze and improve database code performance: Find slow objects and SQL queries, optimize a slow object, a call chain, a slow SQL query, display a query execution plan.

GitGuardian is a global cybersecurity startup focusing on code security solutions for the DevOps generation. A leader in the market of secrets detection and remediation, its solutions are already used by hundred thousands developers in all industries. GitGuardian helps developers, cloud operation, security and compliance professionals secure software development, define and enforce policies consistently and globally across all their systems. GitGuardian solutions monitor public and private repositories in real-time, detect secrets and alert to allow investigation and quick remediation.

ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with deep program analysis to deliver intelligent security testing that finds real vulnerabilities while dramatically reducing false positives. Unlike traditional SAST tools that rely on pattern matching, ZeroPath understands code context, business logic, and developer intent. This enables identification of sophisticated security issues including business logic flaws, broken authentication, authorization bypasses, and complex dependency vulnerabilities. Our comprehensive security suite covers the application security lifecycle: 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... ZeroPath integrates seamlessly with GitHub, GitLab, Bitbucket, Azure DevOps and many more. The platform handles codebases with millions of lines across Python, JavaScript, TypeScript, Java, Go, Ruby, Rust, PHP, Kotlin and more. Our research team has been successful in finding vulnerabilities like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce. Trusted by 750+ companies and performing 200k+ code scans monthly.

Enhance the speed and efficiency of software development and delivery by leveraging generative AI support, all while ensuring robust enterprise security and privacy safeguards. Gemini Code Assist streamlines your coding process by completing your code as you type and can generate entire code blocks or functions upon request. This powerful code assistance tool is compatible with a variety of popular integrated development environments (IDEs) like Visual Studio Code and JetBrains IDEs (including IntelliJ, PyCharm, GoLand, and WebStorm), as well as Cloud Workstations and Cloud Shell Editor, supporting over 20 programming languages such as Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Utilizing a natural language chat interface, you can easily interact with Gemini Code Assist to obtain solutions to your coding queries or gain insights into coding best practices, with chat functionality accessible across all supported IDEs. Organizations have the flexibility to tailor Gemini Code Assist by integrating their private codebases and knowledge repositories, enabling the tool to provide more personalized assistance that aligns with specific enterprise needs. Furthermore, Gemini Code Assist has the capability to facilitate extensive modifications across entire codebases, thereby optimizing the development workflow significantly. This adaptability not only boosts productivity but also empowers teams to innovate more rapidly in a secure environment.

Code reviews don't need to be overly complicated. Review Board simplifies the process of code review, allowing you to save valuable time, resources, and mental energy, enabling you to concentrate on developing exceptional software. You can evaluate nearly anything, from code to documents, artwork, and more! Your project encompasses much more than mere code. It includes essential elements like documentation, artistic designs, website layouts, interface prototypes, release notes, feature outlines, and an extensive array of other materials. Visuals can significantly enhance your review process, as a single image can convey complex ideas. By simply dragging and dropping one or multiple images into your review request, they become readily available for assessment. Team members will have the ability to interact with the images directly, leaving comments precisely where needed. Any modifications made to the images can be easily tracked by uploading a new version and reviewing the changes through various visual diff options. Additionally, there may be other textual content that pertains to your project but resides outside of your source tree. Such flexibility allows for a more comprehensive review process overall.

Software projects are often complex. The law of entropy makes it more complicated. Developers easily get lost in the dependency network, and they tend to create designs that don't stand the test of time. Softagram automatically illustrates how dependencies change. Automated integration allows you to decorate pull requsts in GitHub, Bitbucket and Azure DevOps with a dependency report. This report pops up as a comment within the tool you use. The analysis also includes other aspects, such as open source licenses or quality. You can customize it to meet your needs. Softagram Desktop app, which is designed for advanced software understanding as well as auditing software usage, can also be used to efficiently perform software audits.

Sourcegraph is an enterprise-grade code intelligence platform that empowers both humans and AI agents to understand and manage sprawling codebases. It combines lightning-fast code search, agentic AI-powered Deep Search, and automation tools like Batch Changes to turn insights into action. Teams can search millions of repositories, analyze patterns, and make large-scale changes safely and efficiently. With features like Sourcegraph MCP, the platform improves the accuracy and effectiveness of coding agents operating in legacy and complex systems. Built with security, scalability, and compliance at its core, Sourcegraph helps organizations ship faster without losing control of their code. It bridges the gap between rapid AI-driven development and long-term code quality.

Codacy is an end-to-end DevSecOps platform designed to enforce code quality, security, and compliance across modern development workflows. It integrates seamlessly with IDEs, repositories, and CI/CD pipelines to provide continuous analysis and real-time feedback. The platform performs static and dynamic testing, dependency scanning, and infrastructure checks to identify vulnerabilities early and throughout the software lifecycle. Codacy’s AI Guardrails feature ensures that both human-written and AI-generated code meet organizational standards by detecting risks and automatically fixing issues. It also offers automated pull request reviews, quality metrics, and test coverage tracking to improve development efficiency. Centralized policies allow organizations to maintain consistent standards across teams and projects. With support for multiple programming languages and easy integration into existing workflows, Codacy simplifies secure coding practices. It helps teams reduce manual review effort while improving code reliability and maintainability. By combining security, quality, and AI protection, Codacy empowers teams to ship faster with confidence.

Reshift is the ultimate solution designed specifically for Node.js developers to enhance the security of their custom code. By utilizing this tool, developers are four times more likely to resolve issues before their code is committed. It seamlessly integrates security into the development process by detecting and addressing security vulnerabilities at compile time. This innovative security tool collaborates with developers without hindering their workflow. Reshift's integration with developers’ IDE allows for real-time identification of security concerns, enabling fixes prior to code merging. For those who are new to the world of security, Reshift simplifies the incorporation of security measures into the development pipeline. Tailored for expanding software companies aiming to advance their security, this tool is particularly suited for small to medium-sized businesses that may not have extensive security knowledge. With Reshift, you can enhance code security while simultaneously gaining insights into secure coding practices. Furthermore, Reshift offers comprehensive resources and best practices, empowering developers to learn about security as they write their code. This dual focus on education and practical application makes Reshift an invaluable asset for any development team.

DeepSource is a modern AI-driven code review and code quality platform built to help engineering teams deliver secure and maintainable software. The platform combines deterministic static analysis with intelligent AI agents to automatically review code changes across repositories. Developers can integrate DeepSource with popular version control systems such as GitHub, GitLab, Bitbucket, and Azure DevOps to analyze pull requests as they are created. During each review, the system scans code for potential bugs, security vulnerabilities, performance issues, and architectural problems. It provides inline feedback directly inside pull requests, allowing developers to resolve issues before merging code into production. DeepSource also offers automated patch suggestions through its Autofix feature, helping teams fix problems faster without interrupting development workflows. Security-focused capabilities include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code configuration analysis. The platform tracks code coverage to highlight untested areas and ensures teams maintain testing standards before releasing updates. Compliance reporting aligned with major security frameworks helps organizations stay audit-ready. With automated insights and actionable feedback, DeepSource helps development teams improve code quality while accelerating software delivery.

Experience a privacy-centric approach to pull request evaluations that offers detailed code recommendations on each line and an evolving interactive chat feature. The changes within the pull request are summarized effectively, making it easier to grasp the purpose behind the modifications. Automated release notes are generated, ensuring they can be seamlessly integrated into your release documentation. Each code alteration is scrutinized with a thorough analysis, providing clear and actionable feedback that's ready for implementation. You can engage with the bot by asking questions directly within your code and supplying additional context for it to generate code snippets. As your conversations with the bot increase, its intelligence grows, leading to quicker review cycles and high-caliber suggestions for code changes. Your information remains private, allowing it to tailor the review process to your needs. This system continually adapts based on your interactions, enhancing the relevance of its recommendations to match your coding style and preferences over time.

Access immediate code evaluations from qualified engineers, augmented by AI technology. Each time you initiate a pull request, you can seamlessly integrate senior engineers into your workflow. Accelerate the delivery of superior, secure code with the support of AI-driven code assessments. Whether your development team comprises 5 or 5,000 members, PullRequest will elevate your code review system and tailor it to suit your requirements. Our expert reviewers assist in identifying security threats, uncovering concealed bugs, and addressing performance challenges prior to deployment. This entire process is integrated into your current tools for maximum efficiency. Our seasoned reviewers, bolstered by AI analysis, can target critical security vulnerabilities effectively. We employ advanced static analysis that incorporates both open-source resources and proprietary AI, providing reviewers with enhanced insights. Allow your senior personnel to focus on strategic initiatives while making substantial strides in resolving issues and refining code, even as other team members continue to develop. With this innovative approach, your team can maintain productivity while ensuring code quality.

Metabob identifies, interprets, and resolves coding issues arising from both human and AI sources. By leveraging advanced graph neural networks for detection and large language models for explanation and resolution, Metabob merges the strengths of both technologies. The graph neural networks analyze and categorize problematic code while maintaining contextual awareness. This problematic code, enriched with relevant context, is then stored in Metabob's backend system. The information retained in the backend is subsequently utilized by an integrated large language model. This model produces tailored explanations and solutions based on the context provided. Metabob's AI has been trained on an extensive dataset of millions of bug fixes executed by skilled developers. With a deep understanding of code logic and context, Metabob is capable of identifying intricate issues that span multiple codebases, automatically creating suitable fixes. The AI code review feature of Metabob can uncover hundreds of logical issues, including race conditions and unhandled edge cases, which often go unnoticed by conventional static analysis tools. This innovative approach not only enhances debugging efficiency but also elevates the overall quality of the codebase.

Entelligence AI serves as a powerful engineering intelligence platform that leverages artificial intelligence to optimize development processes, foster teamwork, and elevate productivity throughout the software development lifecycle. By utilizing intelligent agents, it automates the tasks of code reviews and pull request (PR) assessments, significantly reducing review durations, identifying bugs at early stages, and enhancing overall engineering efficiency. The platform’s Deep Review functionality analyzes complex issues across multiple files through comprehensive context analysis of the entire codebase, delivering insightful PR summaries, smart comments, and prompt fixes. In addition, Entelligence AI provides valuable performance metrics that monitor team dynamics, sprint advancements, and code quality, offering real-time insights into individual engineer output, review thoroughness, and sprint evaluations. Furthermore, its innovative self-updating documentation capability translates code into easily understandable documentation, automatically refreshing the content with every new commit, ensuring that developers have access to the most current information. This comprehensive set of features positions Entelligence AI as an indispensable tool for modern software development teams aiming for efficiency and clarity.

The Code Registry is an innovative platform that harnesses AI for code intelligence and analysis, providing companies and non-technical users with complete insight into their software codebase, regardless of their coding experience. By linking your code repository—such as GitHub, GitLab, Bitbucket, or Azure DevOps—or by uploading a compressed archive, the platform establishes a secure "IP Vault" and conducts an extensive automated evaluation of the entire codebase. This analysis generates various reports and dashboards that include a code-complexity score to assess the intricacy and maintainability of the code, an open-source component evaluation that identifies dependencies, licensing issues, and outdated or vulnerable libraries, as well as a security assessment that pinpoints potential vulnerabilities, insecure configurations, or risky dependencies. Additionally, it provides a “cost-to-replicate” valuation, which estimates the resources and effort required to recreate or substitute the software entirely. Ultimately, the platform equips users with the necessary tools to enhance their understanding of code quality and security, thereby fostering more informed decision-making in software development.

Sourcery serves as an AI-driven automated code review tool and coding assistant that aims to enhance the quality of code, identify bugs and security vulnerabilities early on, and ensure uniform standards across various projects for developers and engineering teams. It seamlessly integrates with widely-used development platforms like GitHub, GitLab, and integrated development environments (IDEs) such as VS Code and JetBrains, offering immediate, actionable insights on pull requests and in-code edits instead of relying primarily on conventional peer review processes. By leveraging a blend of large language model capabilities and static analysis, Sourcery evaluates code diffs to provide concise summaries, detailed line-by-line recommendations, overarching feedback, and visual representations that clarify suggested modifications, striving to achieve a review standard akin to that of a fellow developer. Within the IDE, it acts as an instant pair programming assistant that highlights possible enhancements, facilitates one-click application of recommendations, and includes an AI chat feature for further support, making it a versatile tool for developers looking to refine their coding practices. Additionally, Sourcery's real-time feedback mechanism fosters a collaborative coding environment, enabling teams to work more efficiently and effectively together.

Kodus is a collaborative, open-source platform that harnesses AI technology for code review, featuring an intelligent agent named Kody that seamlessly integrates with popular Git workflows like GitHub, GitLab, Bitbucket, and Azure DevOps, aimed at assisting engineering teams in automating and enhancing the quality of their code assessments. By performing thorough analyses on each pull request with a deep understanding of the team’s specific codebase, architecture, workflows, coding standards, and business rules, Kody provides targeted feedback focused on quality, security, performance, and style, rather than offering vague recommendations. Teams have the option to create custom review criteria using natural language or select from a collection of pre-validated rules designed to promote best practices and maintain consistent standards; they can also utilize their own API keys to choose and implement any AI model they prefer. Additionally, Kodus transforms unaddressed suggestions into monitored issues, aids in tracking technical debt, and delivers actionable insights in a manner that minimizes distractions, while supporting more than 30 programming languages to ensure broad applicability across different projects. This comprehensive approach not only streamlines the review process but also fosters a culture of continuous improvement within development teams.

Pulldog is a macOS application tailored to enhance and streamline the process of code review by enabling developers to assess pull requests from their teams through a specialized desktop interface. It seamlessly integrates with both GitHub and GitLab, allowing users to keep track of and review pull requests from various repositories and accounts without the hassle of switching between multiple browser tabs. Crafted with modern Apple technologies, Pulldog is optimized for deep integration within the macOS ecosystem, offering features like Spotlight actions, widgets, and system shortcuts to facilitate efficient management of code reviews in daily tasks. By consolidating pull requests into a single cohesive workspace, it empowers users to monitor changes, assess code modifications, and check pipeline statuses while remaining focused on their reviews. This unique approach not only saves time but also enhances collaboration among development teams, ensuring that code quality remains a top priority.

LaReview is an innovative, open-source code review platform that emphasizes local-first functionality, aimed at turning pull requests and code diffs into organized, high-quality review processes that enhance comprehension while minimizing distractions. By accepting a GitHub or GitLab pull request or a raw diff as input, it employs AI coding agents to craft a structured review strategy that categorizes modifications based on workflows, potential risks, and developer intentions. This method enables developers to evaluate code in a thoughtful and systematic manner instead of merely browsing through files. LaReview adopts a reviewer-centric methodology, allowing engineers to effectively plan their assessments prior to providing feedback, and it seeks to generate constructive comments that offer substantial value rather than overwhelming reviewers with excessive low-impact remarks. The platform features AI-driven planning capabilities that scrutinize code similarly to a senior engineer, pinpointing potential issues and generating organized checklists, in addition to task-oriented review interfaces that coordinate tasks by logical sequences and underscore risks through tools such as file heatmaps. In doing so, LaReview not only streamlines the code review process but also fosters a culture of insightful and impactful feedback among development teams.

Enhance your productivity by ensuring only high-quality code is released, as SonarQube Cloud (previously known as SonarCloud) seamlessly evaluates branches and enriches pull requests with insights. Identify subtle bugs to avoid unpredictable behavior that could affect users and address security vulnerabilities that threaten your application while gaining knowledge of application security through the Security Hotspots feature. Within moments, you can begin using the platform right where your code resides, benefiting from immediate access to the most current features and updates. Project dashboards provide vital information on code quality and readiness for release, keeping both teams and stakeholders in the loop. Showcase project badges to demonstrate your commitment to excellence within your communities. Code quality and security are essential across your entire technology stack, encompassing both front-end and back-end development. That’s why we support a wide range of 24 programming languages, including Python, Java, C++, and many more. The demand for transparency in coding practices is on the rise, and we invite you to be a part of this movement; it's completely free for open-source projects, making it an accessible opportunity for all developers! Plus, by participating, you contribute to a larger community dedicated to improving software quality.

Panto is an advanced AI-driven code review tool aimed at improving both the quality and security of code by seamlessly integrating into existing development workflows. Its unique AI operating system synchronizes code with relevant business contexts from platforms such as Jira and Confluence, facilitating efficient and context-sensitive code reviews. Supporting more than 30 programming languages, it performs upwards of 30,000 security checks to ensure a thorough examination of codebases. The "Wall of Defense" feature of Panto AI works continuously to identify vulnerabilities and recommend solutions, effectively stopping defective code from being deployed to production environments. Additionally, with its commitment to zero code retention, compliance with CERT-IN standards, and the ability to operate on-premises, Panto emphasizes both data security and regulatory adherence. Developers can take advantage of reviews that offer a high signal-to-noise ratio, thereby minimizing cognitive overload and enabling them to concentrate on essential logic and design considerations. This focus on clarity and efficiency allows teams to enhance their development processes significantly.

It fosters a sense of community by facilitating the sharing of code, bug reports, translations, and ideas across various projects, regardless of the tools used. Launchpad enables users to exchange bug reports, updates, patches, and comments seamlessly across different project lines. Additionally, it allows for the sharing of bug data with other tracking systems like Bugzilla and Trac. It includes all essential features of a bug tracker, such as web, email, and API interfaces, connections between bugs and their respective fixes, and team-based delegation capabilities. Once users are prepared, they can upload their code branches to Launchpad and propose merging them back into the main codebase. The code review process, accessible through both web and email, provides a public space for discussing and deciding on the acceptance or rejection of merges. Moreover, Launchpad simplifies the translation process for everyone involved, offering translators a user-friendly web interface that provides automatic suggestions from an extensive library of over 16 million strings. This combination of features not only enhances collaboration but also ensures that all contributors, regardless of their background, can participate effectively in the development process.

Our SaaS solution integrates seamlessly with your current CI/CD pipeline, enabling the creation of preview environments and the execution of comprehensive end-to-end tests. When a developer commits code, we swiftly duplicate your stack in mere seconds by utilizing snapshots from prior builds. In one instance of your stack, you can conduct end-to-end testing, while in another, you might build and push Docker images, and yet in a different instance, you can establish temporary review environments. Once a modification has been approved, it can be rapidly deployed to users through your existing deployment pipeline. After a single setup of your stack on webapp.io, you can instantly generate 10 copies, allowing for parallel execution of all your end-to-end and acceptance tests, thus streamlining the development process and enhancing efficiency. The flexibility of our platform ensures that development teams can optimize their workflows and minimize the time between code changes and production deployment.