Best Code Review Tools to Try in 2026

Find out which of the best tools make working as a team easier and more productive, produce better code quality, and help development teams work together more easily. Code reviewing has been an important part of software design for decades, and code reviews are part of every development cycle. When developing software, code reviews identify problems in source code and improve the quality of that code, as well as ensure that it meets the requirements that have been established prior to the start of the project; therefore, when doing development work, finding a tool for code review becomes an important element of one’s overall test and development process.

Discover the best tools used for code reviews; learn about their capabilities and how to choose a tool that best meets the needs of your project.

What is a Code Review Tool?

Code review tools are programs designed to allow developers to review and manage code changes, to facilitate teamwork, and to assist developers in reviewing quickly and efficiently and ensuring that every code change meets the project’s quality expectations before being integrated into the main codebase.

Why are Code Review Tools Used?

Code review tools automate and improve the code-checking process. They help teams find issues early, keep code consistent, improve overall quality, and encourage knowledge sharing. These tools work with version control systems, providing a smooth and efficient workflow for reviewing and managing code changes.

Top 15 Best Code Review Tools

Explore the top code review tools that can enhance your development workflow, improve code quality, and support stronger collaboration across your team.

1. Codacy

Codacy uses artificial intelligence to assist development teams with code reviews and to provide quality assurance checks on the coding standards in use among their developers by automatically generating reviews of the code. Codacy works well with CI/CD pipeline tools, allowing faster code reviews. Codacy allows for customized quality metrics to be defined by each user, which supports ongoing development of a team as they continue to improve their code’s quality with time. Below are the specific features of Codacy as defined by Codacy itself, but they will aid you in selecting whether or not Codacy is the best tool for your team.

Key Features:

• Code Duplication Detection – Codacy will identify any duplicate code that may exist in your codebase. Identifying repeated code will assist in keeping your codebase clean and easier to maintain.
• Technical Debt Tracking – Codacy will highlight and report any technical debt that may exist within your team, helping to prevent future long-term problems from developing.
• Security Analysis – Codacy will identify any security vulnerabilities that may be present within your code.
• Code Style Enforcement – Codacy will assist your team with enforcing a consistent style within your code.
• Customizable Dashboards – Codacy will provide users with the ability to track customized metrics and generate reports of results.

Codacy helps teams maintain high code quality through automated reviews, security checks, and technical debt tracking. Its customizable metrics and CI/CD integration make it a strong tool for improving consistency and long-term code reliability.

2. CodeScene

CodeScene is a tool for assessing and managing your technical debt, improving your code quality, and enabling the automation of code reviews using an algorithm called CodeHealth™ to calculate a quality score and identify areas of your codebase that are hindering team productivity. CodeScene analyzes historical Git data, IDE extension information, and Quality Gates to ascertain areas of improvement in your codebase, with the added benefit of supporting over 25 programming languages. You can easily integrate CodeScene into your existing modern software development workflows.

Key Features:

• Code Health – Using code scene, you can evaluate code based on complexity, risks, and smells to produce a clear quality score for your code.
• Team Dynamics Visualization – Uses information about how teams work together to find areas where teams may be bottlenecked.
• Delivery Insights – Provides information to track unplanned work, upper-level branch activity, and delivery costs for each of the team members most recently involved on the project.
• AI-Powered Refactoring – Reduces code complexity and improves legacy code through CodeScenes ACE algorithms.

CodeScene empowers teams to reduce technical debt and improve code quality through intelligent analysis and CodeHealth™ scoring. By combining team insights, delivery metrics, and AI-driven refactoring, it helps organizations boost productivity and maintain sustainable development practices.

3. GitHub

GitHub offers tools for code review that make it easier for software developers and other team members to collaborate on projects. By using GitHub pull request functionality, inline feedback through comments, and CI/CD automation tools, members of a team can talk about changes, maintain the quality of their code, and work together as a cohesive team while ensuring all changes made to a project are reviewed before being combined into the final product.

Key Features: 

• Pull request review – ability to discuss and review a change (or pull request) before adding it to the SD team’s project.
• Inline Commenting – ability to give feedback directly on specific lines of code/forms through comments attached to them.
• CI/CD Workflow Integration – Automates the CI/CD code review process using checks and/or test cases.
• Review Assignee – allows the assignment of reviewers to specific Pull Requests.
• Review Performance/Quality Tracking – tracks metrics related to pull request review performance and code quality.

GitHub’s focus on integration and collaboration makes it the go-to platform for SD teams seeking to streamline their code review services while also maintaining code reliability.

4. CodeRabbit

CodeRabbit is an AI-first code review assistant that speeds up reviews and improves code quality by offering detailed, contextual feedback across all languages. It works with GitHub and GitLab and includes features like PR summaries, one-click fixes, static analysis, and an interactive chat for real-time discussions. It adapts to your workflow and learns from your feedback to make reviews smarter over time.

Key Features:

• Customizable reviews: Adjusts to your team’s style and preferences.
• Pull request summaries: Creates easy-to-understand summaries of complex changes.
• Interactive review chat: Offers instant help, suggestions, and code generation.
• Instant issue resolution: Provides quick, code-aware fixes for faster debugging.

CodeRabbit enhances the code review process with AI-driven insights, real-time collaboration, and smart automation. By delivering contextual feedback, instant fixes, and adaptive learning, it helps teams improve efficiency and maintain high code quality.

5. GitLab

GitLab includes powerful code review features as part of its complete DevOps platform. It supports every stage of development and helps teams collaborate efficiently. With automation, quality checks, and a unified workflow, GitLab ensures teams deliver clean and reliable code.

Key Features:

• Merge Request Reviews: Approve or review proposed changes.
• Code Quality Analysis: Detects issues and checks code against standards.
• Discussion Threads: Enables focused conversations on specific updates.
• Approval Rules: Sets guidelines for reviews.
• Customizable Dashboards: Tracks all review activities and key metrics.
  

GitLab offers a complete, integrated review system that fits naturally into DevOps pipelines, making it a strong option for teams wanting an all-in-one development platform.

6. Crucible

Crucible, developed by Atlassian, delivers structured and detailed code reviews that integrate with different version control systems. It helps teams improve code quality with organized workflows and thorough feedback. It connects seamlessly with Jira, making it easy to track review progress and related issues.

Key Features:

• Pre-commit Reviews: Review code changes before they are committed.
• Review Workflows: Create structured and customizable review processes.
• Integration with Jira: Link reviews with Jira issues for better visibility.
• Reporting and Analytics: Access reports on review metrics and outcomes.
• Code Review Notifications: Keep team members updated on review status.
  

Crucible’s strong Jira integration and structured review process make it ideal for teams that need detailed, organized, and trackable code review workflows.

7. SonarQube

SonarQube is an open-source solution that continuously reviews your source code for cleanliness, security, and the use of best development methods as an integral part of CI/CD development. Because it works seamlessly with CI/CD pipelines, code is checked at every phase of the development cycle, and it provides developers with ongoing feedback through detailed analysis reports, which enable them to quickly identify issues before they can escalate. SonarQube has been designed to identify issues at the point of occurrence, thereby supporting teams in maintaining ongoing quality throughout the project phase.

In addition to conducting an ongoing review of your source code, SonarQube provides automation-related suggestions generated by Artificial Intelligence (AI) to assist teams in quickly locating and correcting errors within their projects.

Key Features

• Code Smell Detection: Flags unnecessary or confusing code patterns to improve readability and maintainability.
• Duplicated Code Detection: Finds repeated code sections so you can reduce redundancy and keep the codebase clean.
• Vulnerability Detection: Scans for security issues to help protect your application from potential threats.
• Code Coverage Analysis: Measures how much of your code is covered by automated tests, ensuring thorough testing.
• Quality Gate Metrics: Enforces rules and standards that must be met before code can be merged into the main branch.
  

With its continuous inspection, AI-powered suggestions, and detailed reporting, SonarQube is a must-have tool for teams committed to writing secure, high-quality code.

8. DeepSource

DeepSource is a modern and intelligent code analysis platform that helps developers catch and fix code quality and security issues before they turn into bigger problems. It connects directly to repositories like GitHub, GitLab, and Bitbucket, analyzing every pull request automatically. This means you get instant insights about issues and suggestions for improvement.

A standout feature of DeepSource is its autofix capability. Instead of simply pointing out errors, DeepSource can automatically correct certain issues for you. It acts like a smart assistant that reviews your code, teaches you better practices, and helps maintain high coding standards as your project grows.

Key Features

• Static Code Analysis – No extra setup with continuous integration is necessary because the codebase and all pull requests are automatically scanned to identify bugs, style issues, and maintainability issues. 
• Security Scanning (SAST): Identifies security vulnerabilities and promotes alignment with standards such as the OWASP® Top Ten or CWE Top 25 to keep teams aligned and aware of best practices in secure coding. 
• Autofix and Smart Suggestions: Not only does DeepSource identify the problems in your code, but it also provides examples of both poor and good coding practices so that you can understand how to improve. 
• Code Coverage Insights – After each pull request, users receive an indication of which code line(s) were tested and which code line(s) were not tested, allowing teams to ensure that they have adequate test coverage. 
• Infrastructure as Code (IaC) Checks – DeepSource will catch any misconfigurations within infrastructure as code configuration files, like Terraform, before the configuration file is deployed into production.

DeepSource helps teams proactively maintain code quality and security through automated analysis and intelligent autofix capabilities. By delivering instant insights, security scanning, and coverage tracking, it enables developers to write cleaner, safer, and more reliable code as projects scale.

9. Bitbucket

Bitbucket allows for streamlined code review processes by creating pull requests, making inline comments, and providing collaboration features to allow for a more productive workflow among developers. This delivery method also encourages the use of coding best practices due to its structure and accessibility to review cycles. Bitbucket can seamlessly integrate with many other tools to improve the efficiency of a variety of development workflows. Due to its simplicity, Bitbucket can help keep both new and experienced developers organized and produce high-quality code consistently.

Key Features:

• Structured Pull Request Reviews: Bitbucket has structured review cycles to keep track of all code changes.
• Advanced Code Quality Checks: Through integrations with various code quality tools, Bitbucket can research the quality of code at a deeper level.
• Detailed Inline Comments: Reviewers can comment directly next to certain sections of code.
• Branch Permissions: Teams are able to set permission levels for who can push, edit, and merge their code on various branches.
• Code Review History: Bitbucket keeps a history of your previous reviews for historical context and for reference purposes in the future.

The ease of use, such as the simplistic interface and the integration capabilities of Bitbucket, makes it an excellent solution for teams who want smoother workflows, produce high-quality code consistently, and want to work together.

10. Gerrit

Gerrit is a web-based code review tool created specifically for Git repositories. It supports structured, detailed reviews and encourages consistent collaboration within teams. Gerrit provides strong permission controls and integrates with automated testing tools to offer fast, reliable feedback on every change. This helps teams maintain code quality and manage reviews more effectively.

Key Features

• Patch Set Reviews: Allows teams to review individual sets of changes with precision.
• Inline Comments: Enables reviewers to leave notes directly on code lines.
• Automated Testing Integrations: Connects with tools that run tests automatically and provide instant results.
• Access Control and Permissions: Controls who can push, review, or merge changes.
• Review Dashboard: Shows all ongoing reviews in one centralized place.
  

Gerrit’s structured review system, permission control, and automated testing integrations make it a strong choice for teams working heavily with Git and prioritizing code quality.

11. Review Board

Review Board is an open-source, web-based software application that allows teams to work together to improve the quality of their source code by conducting collaborative code reviews. Review Board is capable of working with many different kinds of version control systems and has a rich set of tools to support changing code analysis. With customizable workflows, integration with other collaborative tools, and many other features that make it easy to use and accessible for both large and small teams, Review Board offers an ideal solution for development teams looking for a reliable tool to improve collaboration, improve code quality, and increase productivity.

Key Features

• Rich Diff Viewer: A tool used for comparing two different versions of an item to see the differences in a visual manner, which makes it easier to review and make changes to code.
• Batch Review Requests: Lets teams handle multiple review requests at the same time.
• Third-Party Integrations: Connects with tools such as GitHub, Bitbucket, and Jenkins.
• Enhanced Security: Includes access control and audit logs to maintain transparency and security.
• Email Notifications: Keep team members updated about their code review requests through regular email notifications.

Review Board is a very powerful and flexible application that provides teams with a powerful tool for developing and reviewing quality code.

12. RhodeCode

RhodeCode is designed for enterprises that require robust features for the management of source code and for performing code reviews in order to help companies distribute and manage large-scale sources of source code effectively. RhodeCode provides the enterprise with tools for collaboration that support high-quality software development across many software development teams within the same enterprise. RhodeCode also has the capability to manage high-volume applications and long-term projects through RhodeCode’s enterprise-level capabilities, including its robust access control, analytics functionality, and strong integration capabilities with various software development tools.

Key Features

• Enterprise-Level Repository Organization — RhodeCode helps teams build out all of their code repositories into one unified repository.
• Granular Access Control — RhodeCode offers granular permission and restriction controls for both projects and individual developers.
• Code Search and Navigation — Facilitates access to, navigation of, and understanding of codebases containing thousands of files;
• Code Metrics and Analytics — RhodeCode provides organizations with measurable analytics indicating the health of their codebases and the performance of their reviews.
• Management of Merge Requests — RhodeCode supports a structured process for obtaining implicit and explicit approval of merge requests from developers.

RhodeCode’s enterprise-level capabilities & scalability enable it to effectively support large, geographically dispersed software development teams that have the need for a robust code management solution.

13. Azure DevOps

As a complete DevOps platform, Azure DevOps has built-in code reviewing that gives developers a centralized experience for managing code reviews with all aspects of development, such as build, release, and tracking project status. Azure DevOps has greatly improved how developers work together as well as created a more consistent overall workflow experience for developers. Azure DevOps also provides tools that help maintain code quality through every stage of creation and deployment.

Key Features

• Code Review Automation: Azure DevOps allows developers to implement automated rules and policies that maintain a consistent level of quality across their projects through automated code review processes.
• Build and Release Management: Azure DevOps integrates the review process for changes into existing build pipelines to ensure quality is continually maintained throughout the build process.
• Collaborative Discussions: Azure lends itself to allowing developers to have real-time interactions and comments on change requests.
• Advanced Permissions: Allows detailed control over roles and user access.
• Integration with Azure Services: Works seamlessly with other Azure tools for a complete DevOps workflow.
  

Azure DevOps is an excellent choice for teams that want to align code reviews with their broader DevOps strategy while maintaining consistency and high quality.

14. PullRequest

PullRequest provides a platform that focuses on high-quality code reviews done by expert reviewers. It connects easily with your version control system and brings in experienced engineers to review your code. This makes it especially useful for teams that need expert-level feedback or extra review support during busy development cycles. The tool also supports secure, customizable workflows to match the needs of different teams.

Key Features

• Expert Reviewers: Gives you access to seasoned developers who provide unbiased, in-depth reviews.
• Customizable Review Processes: Lets teams design review rules according to their project needs.
• Version Control Integrations: Works with GitHub, GitLab, and Bitbucket for smooth review management.
• Security and Compliance: Ensures reviews follow security guidelines and highlight vulnerabilities.
• Actionable Feedback: Provides clear suggestions to improve code and follow best practices.
  

PullRequest’s expert reviewers and security focus make it a powerful tool for teams that want reliable, high-quality reviews at scale.

15. Code Climate

Code Climate delivers automated code review and continuous quality monitoring to help teams improve their projects over time. It provides actionable insights through analysis and custom quality metrics. Tools like Velocity use data science and pattern recognition to identify workflow bottlenecks and show where development can be more efficient. Code Climate also focuses on maintainability, complexity, and long-term project health by offering clear recommendations for improvement.

Key Features

• Maintainability Checks: Evaluates the long-term manageability of the codebase.
• Code Duplication Detection: Highlights repeated code sections to reduce redundancy.
• Complexity Analysis: Measures how complex your code is and suggests ways to simplify it.
• Security Vulnerability Detection: Identifies security risks within the code.
• Coverage Metrics: Tracks test coverage to ensure code is well-tested and stable.

Code Climate supports long-term code quality through automated reviews, maintainability checks, and workflow insights. By combining complexity analysis, security detection, and coverage tracking, it helps teams build cleaner, more efficient, and sustainable software projects.

Read More: What are Managed IT Services?

Comparing Top 10 Code Review Tools

Here is a quick comparison of the top 10 code review tools:

Tool	Review Workflow	Automation & AI	UI/UX & Usability	Integration Support	Unique Advantage
Codacy	Structured reviews with automated quality checks	Smart AI-based quality analysis	Clean dashboard with customizable views	Works with GitHub, GitLab, Bitbucket, CI/CD	Strong automated code quality scoring
CodeScene	Review insights tied to risk & history	AI health metrics and refactoring suggestions	Visual, data-rich interface	Integrates with Git, IDEs, CI tools	Predictive analysis & team behavior insights
GitHub	Pull requests with comments & approvals	CI/CD automation; suggestions via bots/apps	Familiar GitHub UI	Deep GitHub ecosystem	Built-in reviews tied to version control
CodeRabbit	Line-by-line feedback within pull requests	Advanced AI feedback & one-click fixes	Modern, interactive review panel	Integrates with GitHub, GitLab	Real-time AI-assisted review chat & fixes
GitLab	Merge requests with threaded discussions	Quality checks + automation policies	Unified DevOps experience	Broad integrations (CI/CD, DevOps tools)	Full DevOps platform with review built-in
Crucible	Structured, pre-commit and post-commit review flows	Some automation via add-ons	Traditional enterprise UI	Integrates with Jira, VCS	Strong in formal review workflows
SonarQube	Continuous quality checks rather than manual workflow	AI suggestions for fixes	Metric-oriented dashboards	Works with Git, CI/CD tools	Deep static analysis and quality gating
DeepSource	Auto analysis on every pull request	Autofix suggestions + intelligent scans	Simple, intuitive dashboard	GitHub, GitLab, Bitbucket	Automated “fix suggestions” feature
Bitbucket	Pull requests + inline comments	Basic automation via add-ons	Familiar Atlassian interface	Excellent Jira ecosystem support	Tight integration with Atlassian tools
Phabricator	Highly customizable workflows	Limited native AI; supports extensions	Flexible but steeper learning	VCS agnostic (Git/Mercurial/SVN)	Custom workflows + project tools bundled

Mandatory Features to Look for in Code Review Tools

Here are the mandatory features that a good code review tool should offer:

• Inline comments and annotations: Allow reviewers to share feedback directly on particular lines of code, facilitating better communication.
• Pull/Merge Request Support: The tool should integrate smoothly with Git platforms like GitHub, GitLab and Bitbucket and facilitate reviews as part of the standard development workflow.
• Syntax Highlighting & Side-by-Side Diff Views: Such a feature lets reviewers analyze and understand changes instantly by displaying visual differences with proper code formatting.
• Automated Issue Detection: Tools must spot bugs, security vulnerabilities, or style violations with the help of static analysis or AI.
• Version Control System (VCS) Compatibility: It should be able to support systems like Git, Mercurial, or SVN, based on the organization’s stack.
• Audit Trail & Review History: should have logs of all reviews, decisions, and comments for traceability and compliance requirements.

How to Choose the Best Code Review Tool?

Use the following criteria for selecting a code review tool:

1. Integration: Ensure the tool works with your version control system and CI/CD pipeline.
2. Ease of Use: Look for a user-friendly interface and customizable workflows.
3. Key Features: Check for inline comments, automated checks, and review types that fit your needs.
4. Collaboration: Opt for tools with discussion threads, notifications, and real-time feedback.
5. Reporting: Choose tools with detailed business analytics, metrics, and customizable dashboards.
6. Scalability: Ensure the tool can handle your team size and project complexity.
7. Security: Look for access controls and compliance features if needed.
8. Support: Consider customer support and community resources.

How to Perform Code Review With BrowserStack?

Performing code peview with BrowserStack Code Quality can be done in the following steps:

1. Integrate: Connect with CI/CD pipelines and version control systems for seamless code review integration.
2. Automate: Get real-time feedback on code changes with automated reviews that enforce coding standards.
3. Report: Access detailed analytics and insights to track code quality and identify improvement areas.
4. Collaborate: Use customizable workflows and collaborative features to enhance team review efficiency.
5. Streamline: Simplify the code review process with an intuitive interface that makes managing and addressing code issues easy.

Trends in Code Review Tools

Given below are the current trends in code review tools:

• AI Integration: Now, code review tools use AI to spot bugs, suggest fixes, and auto-correct code. AI lets you review logic, detect code smells, and establish best practices.
• Shift-Left Approach Integration: The use of code review tools starts earlier in the development lifecycle. For faster feedback, they can be smoothly integrated with IDEs and CI/CD pipelines.
• Advanced Review Analytics: With tools, you get detailed analytics on review efficiency, reviewer engagement, and code quality.
• Improved Security Checks: Tools have static code analysis integrated for detecting security vulnerabilities during reviews.

Benefits of Code Review Tools

Here are the benefits of using code review tools:

• Improves code quality: Code review tools let you catch bugs earlier in the development lifecycle.
• Standardization: Ensures coding standards are met consistently.
• Quality Control: Helps you reduce technical debt by facilitating regular checks.
• Efficiency: Speeds up development with faster feedback loops.
• Collaboration: Enhances collaboration with inline comments and discussions.
• Maintainability: Increases code maintainability with cleaner, reviewed code.

A code review tool is necessary for a healthy code base, improved team communication, and effective development processes; all tools discussed in this article have unique strengths, and selecting the right one will be based on your team’s size, workflow style, and what you are prioritizing as a team. A well-executed code review will catch defects before they reach production, allow for shared learning experiences within the group, enable consistency in how code is written, and provide for continual improvement and the possibility for further developed product delivery throughout all development phases.

Conclusion

SonarQube has been identified as an excellent code review tool, its capabilities range from static code analysis, establishing quality gates, and supporting multiple languages – this makes it a great resource for teams with a focus on developing a secure, reliable, and maintainable code base. Teams using SonarQube are able to deliver a higher quality product with a better overall experience to their end users. If you need expert guidance in setting up or managing code review processes, the Dependibot team is available to help you get started with confidence.

Frequently Asked Questions on Code Review and Tools

1. What are the types of Code Review?

Understanding the different types of code reviews is essential for choosing the right approach to improve code quality and streamline your development process.

• Pull Request (PR) Reviews: Developers submit their code changes through pull requests on platforms like GitHub. The team reviews and approves these changes before they become part of the main codebase.
• Pair Programming: Two developers work together on the same code—one writes while the other reviews in real-time, allowing for immediate feedback and collaboration.
• Over-the-Shoulder Reviews: A developer invites a teammate to review their code by sitting together and discussing it on the same screen.
• Tool-Assisted Reviews: Tools such as GitHub, GitLab, and Bitbucket assist in managing and conducting code reviews more effectively.
• Email-Based Review: Developers share code changes via email, and feedback is provided through email replies.
• Checklist Review: Reviewers use a checklist to ensure the code meets all required standards and criteria.
• Ad Hoc Review: Informal reviews where developers quickly ask for feedback from colleagues without a structured process.
• Formal Inspection: A detailed and structured review process involving a dedicated team and thorough documentation to carefully examine the code.

2. What are the 7 Steps to Review Code?

Here are the seven steps to review code:

• Understand the Context: Review the purpose of the code change.
• Check for Functional Correctness: Ensure the code fulfills the requirements and works as expected.
• Review Code Structure and Readability: Look for clean, organized, and well-commented code that’s easy to understand.
• Verify Code Style and Standards: Ensure the code follows your team’s style guides and conventions.
• Look for Potential Bugs: Identify logical errors, unhandled conditions, or areas prone to failure.
• Assess Performance and Security: Analyze for any performance roadblocks or security vulnerabilities introduced.
• Run and Test the Code: Make sure the code compiles, passes tests, and integrates well with existing functionality.

3. What is the Best AI Tool for Code Review?

Here are the best AI tools for code review:

• BrowserStack Code Quality
• Codacy
• SonarQube
• Code Climate

4. Why is Code Review Important?

Code review is an important aspect of software development because:

• Bug Detection and Prevention: Code review tools help you catch bugs early, reducing cost and effort.
• Better Code Quality: Helps promote clean, efficient, and standard-compliant code.
• Code Ownership: Facilitates shared responsibility for code quality.
• Documentation: Review comments serve as informal documentation.
• Quality Assurance: Ensures code meets functional and user expectations.
• Continuous Improvement: Helps teams identify and fix recurring issues over time.