Code review tools are evolving fast, with many now integrating AI to make the process faster and smarter. Graphite’s new AI reviewer is one example, offering teams advanced ways to catch issues and improve code quality. With so many options out there, we’ve narrowed it down to the top six Graphite alternatives to help you find the right fit for your team.

The top alternatives to Graphite.dev

• Trag for customizable AI-driven code reviews and semantic analysis.

• CodeRabbit for AI-driven pull request reviews and collaboration.

• Codeant.ai for real-time feedback and improving code quality.

• Qodo Merge (formerly Codium AI) for automated testing and seamless integration.

• GitHub Copilot for generating code and improving developer productivity.

• SonarQube Server for comprehensive static code analysis and quality gates.

• Codacy for tracking code quality metrics and maintaining consistency.

What is Graphite.dev? 

Graphite.dev is an AI-powered code review tool built to simplify pull requests and support teams. It offers stacked pull requests, allowing developers to break down complex changes into smaller, manageable updates. Graphite learns your team’s coding style for more personalized suggestions and project-specific feedback. Graphite’s practical features make it one of the best code review tools for teams aiming to save time and boost code quality. They also have plans to introduce customizable rules, which are expected to improve its AI review process.

Best Graphite alternative for small businesses

Trag

Trag is an AI code review tool designed for teams to work smarter by focusing on real-time clear, actionable insights. It supports semantic analysis and lets you set up project-specific rules to fit your team's personal preferences. Easy to use with GitHub and GitLab with real-time feedback and simple integration. The analytics dashboard also gives teams a clear view of performance and code quality.

Graphite vs. Trag

While Graphite is great for handling interconnected changes, Trag brings more flexibility and control with its customizable rules and semantic analysis. Graphite is launching a customizable rules feature soon while Trag’s is already established. Both tools offer analytics, but Trag’s dashboard focuses on real-time insights into code quality and performance. That said, if stacked PRs are your priority, Graphite might be the better choice, but if flexibility and detailed insights matter more, Trag is the way to go.

CodeRabbit

CodeRabbit is a useful tool for AI-driven pull request reviews and collaboration, acting like a second set of eyes to spot things that might be missed. It’s great at catching common issues, though its accuracy isn’t consistent, and it may overlook some obvious problems. For teams exploring Graphite alternatives, it’s perfect for quick checks, but pairing it with human reviews is better to make sure nothing slips through.

Graphite vs. CodeRabbit

Graphite and CodeRabbit both use AI for code reviews but serve different needs. Graphite’s stacked PR and AI-assisted feedback offer structured, in-depth analysis, while CodeRabbit provides quick AI checks for missed issues. If you need deeper context and organization, choose Graphite. For fast AI support, CodeRabbit is better.

Related reading: Top 6 CodeRabbit alternatives for AI code review in 2025

Codeant.ai

Codeant.ai focuses on real-time feedback and improving code quality with features like customizable rules to match team coding standards. It helps reviewers by creating clear summaries of changes and highlighting best practices, which can cut review times by up to 50%. While it has many benefits, there have been reports that its output can sometimes lack consistency, and it offers fewer advanced features compared to other tools.

Graphite vs. Codeant.ai

Codeant.ai excels at quick, real-time feedback and speeding up reviews with customizable rules, making it a great fit for teams that need fast automated enforcement. While Graphite has announced plans to introduce custom rules, its strengths lie in stacked pull requests and AI-driven review insights, making it a better choice for teams needing deeper context, structure and flexibility.

Qodo Merge

Qodo Merge, formerly Codium AI, focuses on simplifying code reviews by automating PR descriptions, compliance checks, and analysis. It stands out for its ability to learn coding styles and provide context-aware suggestions. With integrations into tools like GitHub and Jira, Qodo Merge supports teams by improving review efficiency and code quality. Its interactive AI lets developers engage directly within pull requests for feedback and insights, making the process much easier.

Graphite vs. Qodo Merge

While Graphite focuses on stacked pull requests and simplicity, Qodo Merge takes it further with automated compliance checks and interactive AI-driven suggestions. Both tools use AI, but Graphite’s AI is for code review insights and stacked PR management. While Qodo Merge uses AI more interactively within pull requests. Graphite is working on adding customization options, but Qodo Merge currently offers more built-in rule-based checks and quality controls.

Best Graphite alternative for enterprises

GitHub Copilot

GitHub Copilot is an AI coding assistant designed to help developers by generating code snippets, offering explanations, and automating repetitive tasks. It integrates directly into popular IDEs, making it accessible during development. While small teams benefit from its efficiency, enterprises appreciate its ability to scale across large projects, offering consistent support for complex workflows and large codebases. However, Copilot occasionally provides inaccurate suggestions which will need to be reviewed by developers.

Graphite vs. Copilot

Graphite manages and reviews stacked pull requests, while GitHub Copilot helps with real-time coding and generating code from comments. Both use AI—Graphite focuses on reviews and structured PRs, while Copilot speeds up writing. For AI-assisted reviews, choose Graphite. For help in coding, Copilot is the better pick.

SonarQube Server

SonarQube Server helps enterprises manage code quality and security across large projects. It supports multiple programming languages and continuously inspects code for bugs, vulnerabilities, and issues. Integration with CI/CD tools allows teams to monitor code health throughout development. With detailed dashboards and quality checks, it’s perfect for maintaining clean and reliable code on enterprise-scale projects.

Graphite vs. SonarQube Server

Both Graphite and SonarQube use AI but for different tasks. Graphite speeds up PR reviews with AI-assisted feedback, while SonarQube focuses on AI-driven static analysis for security and maintainability. With multi-language support and CI/CD integrations, SonarQube is better for teams prioritizing deep analysis over pull request management.

Codacy

Codacy is an automated code review tool that helps teams maintain consistent quality standards across multiple programming languages. It gives real-time feedback, customizable rules, and in-depth code analysis. With simple CI/CD integration, Codacy fits well into existing workflows, catching bugs and vulnerabilities early. Its user-friendly interface makes it accessible for both small teams and larger enterprises.

Graphite vs. Codacy

Graphite simplifies pull request reviews, while Codacy checks entire codebases and pushes coding standards across projects. Graphite is adding custom rules soon, but Codacy already lets teams set and apply their own. If you need deeper code analysis beyond PRs, Codacy is the better fit.

Finding your ideal AI code review solution

Code review tools have come a long way, with AI adding speed and precision to the process. From Codacy’s ability to enforce coding standards across projects to enterprise-level solutions like SonarQube or Copilot, each option in this list caters to different team needs. 

If you’re looking for free Graphite.dev alternatives, Trag is a solid choice with customizable AI-driven reviews. The key is to find a tool that fits your work and priorities so it can help your team save time, improve code quality, and focus on building better software.