Code review tools have become essential for developers to maintain clean, reliable code. They make it easier for teams to catch bugs early, stay consistent, and merge ideas. Now, a lot of review tools go beyond the expected basics, offering features like automation, real-time feedback, and simple integration. We've done the research to find the best standout tools, so you don't have to.

2025’s top code review software 

1. Trag for AI-driven semantic analysis and rule-based code reviews

2. Graphite for lightweight and fast AI-augmented code reviews

3. Coderabbit for affordable AI-powered code reviews and insights

4. Crucible for customizable code reviews and tracking

5. SonarQube for automated code quality and security checks

6. Snyk for vulnerability scanning and enterprise-grade security integration

7. Codacy for automated code quality analysis and custom rules

8. CodeAnt AI for AI-powered quality audits and large-scale code reviews

What are code review tools? 

Code review tools are all about making life easier for development teams by helping them spot issues and improve code quality before shipping. They let you review code for bugs, security gaps, or anything that doesn’t align with your standards.

These tools save time by catching problems early and keeping things consistent across projects. Plus, they’re great for collaboration—everyone can chip in with feedback and learn from each other’s approaches. Most tools integrate smoothly with version control systems, so the process doesn’t feel like extra work.

At the end of the day, the best code review tools help teams write better code faster, while keeping everything clean. Code review is less about finding mistakes and more about building stronger, more efficient habits together.

Best code review tools for agile teams and startups

Trag

Pros:

• The AI code reviewer handles repetitive tasks, freeing up time for complex work.

• Integrates with GitHub, so teams can use existing repositories.

• Custom rules let you tailor the review process to your needs.

• Manage multiple repositories from one place.

• Context-aware analysis improves code quality with smarter suggestions.

• Analytics dashboard shows key metrics to track performance and code quality.

Cons:

• Initial setup may take some time, especially for new users.

• Limited offline functionality since it’s cloud-based.

• Smaller user community compared to older platforms.

Trag is a modern code review tool designed to make reviews faster and easier with AI-driven features and smooth GitHub integration. Its automated code review helps developers spot issues quickly and improve code quality without spending hours on manual reviews. With options to customize rules for each project, Trag gives teams the flexibility to shape their reviews to fit their needs. Making it one of the best code review tools for those wanting a mix of automation and adaptability.

Graphite

Pros:

• Offers stacked PRs to break down complex changes, speeding up approvals.

• Shows a side-by-side view to keep everything in one place, reducing distractions.

• Features a simpler design that quickly highlights bugs and potential issues.

• Includes merge checks that verify quality standards before merging code.

• Integrates smoothly with GitHub for easy use of existing tools.

Cons:

• Stacked PRs may be a learning curve for teams used to traditional Git workflows.

• Limited compatibility outside GitHub.

• Smaller community means fewer third-party integrations.

Graphite is a platform designed to simplify code reviews, especially for teams using GitHub. Its stacked pull request feature lets teams break complex changes into smaller, more manageable updates for simpler reviews and faster approvals. The platform offers tools to minimize context switching and maintain focus during the review process.

Coderabbit

Pros:

• AI-powered reviews deliver line-by-line feedback, helping spot bugs and suggest improvements.

• Step-by-step reviews catch issues early by analyzing code changes with every commit.

• Committable suggestions let developers make changes directly within the tool.

• Customizable review rules set to project-specific standards.

• GitHub integration ensures a smooth workflow.

Cons:

• Pricing may not suit small teams or individual developers.

• Suggestions can sometimes lack enough context to be fully reliable.

• Performance issues, like occasional slowdowns, can interrupt the review process.

• The interface may feel unintuitive for some users, making navigation tricky.

CodeRabbit is an AI-driven code review tool that streamlines the review process for development teams. It provides automated feedback, real-time collaboration, and customizable rules to meet project standards. With GitHub integration, CodeRabbit simplifies reviews and helps teams focus on producing high-quality code. Its detailed review feature catches issues early, while actionable suggestions improve code consistency and efficiency.

Best code review tools for enterprise development teams

Crucible

Pros:

• Supports Git, Mercurial, and Subversion, giving flexibility in version control systems.

• Offers different review styles (formal, quick, iterative) based on team needs.

• Reporting features track progress, spot bottlenecks, and measure review effectiveness.

• Inline comments, threaded discussions, and activity streams make feedback and updates clear.

• Custom permissions control who participates in reviews for better security.

Cons:

• Pricing may be steep for smaller teams or startups.

• Setup requires more time and technical know-how, which can slow teams down.

• Focuses on asynchronous feedback, lacking real-time collaboration features.

• The interface can feel unintuitive, especially for new users.

• Limited integrations with non-Atlassian tools, and only available on Windows.

• Feature set may be overkill for smaller projects or teams.

Crucible, developed by Atlassian, is a code review tool designed to help teams improve code quality and teamwork. It works with multiple version control systems like Git, Mercurial, and Subversion. With features like inline comments, threaded discussions, and detailed reports, Crucible makes code reviews more organized and effective, helping teams stay on top of their coding standards.

SonarQube Server

Pros:

• Identifies bugs, vulnerabilities, and code smells in various languages.

• Integrates with CI/CD tools like Jenkins, Azure DevOps, and GitLab CI for automated checks.

• Customizable quality gates reduce technical debt by setting merge/deployment rules.

• Dashboards track trends and highlight areas for improvement.

• Supports over 25 programming languages.

• Open-source with a large community contributing plugins and extensions.

Cons:

• Too complex for smaller projects or teams.

• Setup requires time and technical expertise, especially for self-hosted versions.

• Some features are limited without CI tool integration.

• Can be resource-intensive, requiring stronger server infrastructure for large projects.

SonarQube is one of the best open-source code review tools that helps developers keep their code clean and secure. It highlights issues like weak points, code smells, and technical debt across many programming languages. With easy integration into CI/CD pipelines, it maintains code quality at every stage of development. SonarQube’s clear dashboards and reports make it simple for teams to track progress and focus on key improvements.

Snyk

Pros:

• Works smoothly with tools like IDEs and CI/CD pipelines to fit existing workflows.

• Focuses on open-source security by analyzing dependencies.

• Real-time scanning keeps projects secure by catching issues quickly.

• Simple interface makes onboarding fast and easy, even for new teams.

Cons:

• Can generate false positives, which may create unnecessary alerts and slow down processes.

• The cost can be high for larger teams, especially those requiring extensive use.

• Reporting features might lack the depth needed for detailed insights and analytics.

• Some integrations with third-party tools may feel limited.

Snyk is a developer-friendly security tool designed to identify and address vulnerabilities in code and dependencies. It integrates with popular tools offering real-time scanning and open-source analysis to raise project security. With a simple design and proactive approach, Snyk simplifies managing vulnerabilities for teams of all sizes, though larger organizations might find its features lacking.

Codacy

Pros:

• Offers a clean, easy-to-navigate interface that suits teams of all sizes.

• Works across various programming languages.

• Allows teams to adjust code analysis rules to fit specific project needs.

• Integrates with CI/CD tools like GitHub and GitLab for real-time feedback.

• Automates reviews by commenting on pull requests.

Cons:

• Doesn’t support pre-commit checks locally.

• Occasionally flags false positives, causing unnecessary alerts.

• Pricing can be high for larger teams.

• Some features lack detailed guidelines.

• On-premise versions can face occasional performance issues, while the cloud version is more reliable.

Codacy is a flexible tool designed to help teams improve code quality with automated reviews and support for many programming languages. It works well for teams looking to connect with CI/CD platforms and adjust code analysis to their needs. However, it does have some drawbacks, like occasional false alerts and higher costs, which might make it less suitable for some users.

CodeAnt AI

Pros:

• Detects and automatically fixes common issues, saving time on code reviews.

• Works with popular IDEs and CI/CD tools like GitHub and Bitbucket.

• Provides immediate feedback during pull requests.

• Lets users adjust analysis rules to match specific coding standards.

• Optimizes code to support scalability for applications that anticipate growth.

Cons:

• Advanced features come at a cost.

• Focuses on cloud-based operations, limiting offline or local analysis options.

• Complex guidelines make it hard to use all the features fully.

• Occasional false positives may occur.

CodeAnt AI combines automation with flexibility, offering tools to detect, fix, and optimize code efficiently. Its integrations and real-time feedback make it a strong option for teams aiming to improve productivity. However, its cloud-only approach and occasional false alerts might be a drawback for certain use cases.

Find the best AI tool for code review with Trag

Trag makes code reviews smarter and more efficient with its AI code review features. By automating repetitive checks and offering context-aware suggestions, it helps teams focus on improving code quality rather than getting stuck with manual tasks. Its ability to adapt to project-specific needs results in reviews that align perfectly with your system. Save your dev team valuable time.

FAQ
What is a code review tool?

A code review tool is software that helps developers carefully read and analyze source code to catch errors, bugs, and security issues before deployment. These tools make the process easier by offering features like inline comments for feedback, integration with version control systems, and automated analysis to quickly flag potential problems.

By organizing the review process, they simplify debugging and testing while fostering collaboration and knowledge-sharing among team members, strengthening teamwork. The goal of a code review tool is to produce clean, reliable, and high-quality code that meets project standards and remains stable over time.

Code review should be done using which tool in DevOps?

In DevOps, the best code review tool depends on your team’s specific requirements and workflows. Factors like project complexity, programming languages, and team size play a role in choosing the right fit. Some tools focus on automation, while others prioritize collaboration or in-depth analysis. It’s important to look for code review tools that fit with your development process and support your goals for high code quality and efficient reviews.

What is the best free code review tool?

Trag is an excellent free code review tool for developers looking to enhance their processes without stretching their budget. The free version includes automated code reviews, AI-driven pull request analysis, and the ability to create custom rules tailored to each project. Signing up also gives you a two-week trial of the Team plan, which offers unlimited reviews, repositories, and custom rules for up to 15 engineers. With smooth integration into GitHub and GitLab, Trag reduces manual tasks and helps deliver high-quality code with less effort.