Compare the Top Code Review Tools that integrate with GitHub as of August 2026 - Page 2

This a list of Code Review tools that integrate with GitHub. Use the filters on the left to add additional filters for products that have integrations with GitHub. View the products that work with GitHub in the table below.

  • 1
    Astronuts

    Astronuts

    Astronuts

    Astronuts is an AI-powered code review platform designed to streamline the development process by automating code reviews and bug fixes. Developers can initiate code analysis with a simple command, receiving line-by-line smart comments and auto-fix suggestions. The platform offers features such as pull request summaries, code quality metrics, and change logs, all accessible through a user-friendly interface. Astronuts integrates seamlessly with GitHub, allowing teams to monitor pull request batch sizes and code health metrics, thereby reducing code review time and minimizing bugs. The platform also provides real-time chat for code-related queries, configurable behavior settings, and gateway rules to enforce code quality standards. With support for multiple programming languages and build systems, Astronuts caters to diverse development environments. The platform offers a free trial with $5 in credits, enabling teams to experience its benefits without initial costs.
    Starting Price: $8 per month
  • 2
    Entelligence

    Entelligence

    Entelligence

    Entelligence AI is an AI-powered engineering intelligence platform designed to streamline development workflows, enhance collaboration, and boost productivity across the software development lifecycle. It automates code reviews and pull request (PR) analysis with intelligent agents, cutting review time, surfacing bugs early, and boosting engineering productivity. Entelligence's Deep Review feature detects complex issues across files with deep context analysis of the entire codebase, providing PR summaries, smart comments, and quick fixes. Entelligence AI also offers performance insights, tracking team performance, sprint progress, and code quality, monitoring output per engineer, review depth, and sprint assessments in real-time. Its self-updating documentation feature turns code into clear docs and refreshes them on every commit.
    Starting Price: $29 per month
  • 3
    Macroscope

    Macroscope

    Macroscope

    Macroscope is an AI-powered analytics and visibility tool for engineering and product teams that connects directly to a company’s codebase, commit history, issue/ticket systems like Linear or Jira, and Slack, in order to automatically generate insights about what is happening in the development workflow. It analyzes changes via code-walking the Abstract Syntax Tree (AST) to understand relationships and dependencies in code, then produces summaries of commits, pull requests (including auto-reviews and PR descriptions), overall codebase changes, and trends in feature development or bug resolution. Stakeholders can ask natural language questions about progress (“What did we ship last week?” etc.), see how engineering time is allocated, detect high-signal bugs with fewer false positives, and track productivity and status without needing to dive into all the individual diffs.
    Starting Price: $30 per month
  • 4
    The Code Registry

    The Code Registry

    The Code Registry

    The Code Registry is an AI-powered code intelligence and analysis platform that gives businesses and non-technical stakeholders full visibility into their software codebase, even if they don’t write code themselves. Upon connecting your code repository (GitHub, GitLab, Bitbucket, Azure DevOps, or uploading a zipped archive), the platform creates a secure “IP Vault” and runs a comprehensive automated analysis across your entire codebase. It produces a range of reports and dashboards, including a code-complexity score (revealing how intricate or maintainable your code is), open-source component analysis (detecting dependencies, license status, outdated or vulnerable libraries), security analysis (identifying potential vulnerabilities, insecure configurations or risky dependencies), and a “cost-to-replicate” valuation, estimating how much effort or resources it would take to rebuild or replace the software from scratch.
    Starting Price: $2 per month
  • 5
    Mesa

    Mesa

    Mesa.dev

    Mesa is an AI-powered code review platform designed to help engineering teams improve software quality and ship code with confidence by eliminating technical debt before it reaches production. Mesa’s intelligent agents learn the unique aspects of a team’s codebase, business logic, and development standards to deliver contextual, precise reviews that go beyond simple linting or generic AI suggestions. Users can create custom review agents tailored to specific concerns such as security, performance, and domain-specific logic, and choose from hundreds of underlying models from providers like OpenAI, Anthropic, and Google, optimizing for speed, cost, or intelligence. It generates detailed, consistent pull request descriptions using team templates and integrates directly into existing CI/CD pipelines, adapting to workflows and branching strategies to embed quality checks into everyday development processes.
    Starting Price: Free
  • 6
    Sourcery

    Sourcery

    Sourcery

    Sourcery is an AI-powered automated code review and coding assistant designed to help developers and engineering teams improve code quality, catch bugs and security issues early, and maintain consistent standards across projects. It integrates directly into popular development workflows, including GitHub, GitLab, and IDEs like VS Code and JetBrains, providing instant, actionable feedback on pull requests and in-editor code changes rather than relying solely on traditional peer reviews. Sourcery analyzes diffs with a combination of large language model insights and static analysis to deliver clear summaries, line-by-line suggestions, high-level feedback, and visual diagrams that explain proposed changes, with the goal of offering review quality similar to what a colleague would provide. In the IDE, it functions as a real-time pair programmer that underlines potential improvements, enables one-click application of suggested fixes, and offers an AI chat.
    Starting Price: $12 per month
  • 7
    Kodus

    Kodus

    Kodus

    Kodus is an open source AI-powered code review platform built around an intelligent agent named Kody that integrates directly with Git workflows such as GitHub, GitLab, Bitbucket, and Azure DevOps to help engineering teams automate and improve the quality of their code reviews. Kody analyzes every pull request with deep context-awareness, learning a team’s codebase, architecture, workflows, coding standards, and business rules so it can deliver precise feedback on quality, security, performance, and style rather than generic suggestions. Teams can define custom review rules in natural language or choose from a library of production-tested rules to enforce best practices and consistent standards, with the flexibility to select and run any AI model via their own API keys. Kodus turns unimplemented suggestions into tracked issues, helps monitor technical debt, and offers actionable insights without introducing noise, supporting over 30 programming languages.
    Starting Price: $10 per month
  • 8
    cubic

    cubic

    cubic.dev

    cubic is an AI-powered code review platform that automatically analyzes pull requests in GitHub to help software teams catch bugs, enforce standards, and ship code faster by reducing manual review bottlenecks. It delivers context-aware feedback seconds after a PR is opened by examining the full repository history and patterns, surfacing inline comments that highlight bugs, anti-patterns, technical debt, and improvement suggestions that human reviewers might miss, and providing one-click fix options for simple issues. cubic can generate clear PR summaries that explain the intent and impact of changes, intelligently order complex diffs into easier-to-review chunks, and offer a context-aware chat interface that lets developers ask questions or explore the codebase directly within the platform. Teams can define custom review rules and integrate business context from issue trackers like Jira, Linear, or Asana so that code reviews validate acceptance criteria as well as technical quality.
    Starting Price: $24 per month
  • 9
    Pulldog

    Pulldog

    Natic

    Pulldog is a native macOS application designed to simplify and streamline code review workflows by allowing developers to review pull requests from their teams directly within a dedicated desktop client. It connects to both GitHub and GitLab, enabling users to monitor and review pull requests across multiple repositories and accounts from a single interface instead of navigating numerous browser tabs. Pulldog is built entirely using modern Apple technologies and is optimized to integrate deeply with the macOS ecosystem, providing support for features such as Spotlight actions, widgets, and system shortcuts that help developers access and manage code reviews more efficiently in their daily workflow. It aggregates pull requests into a unified environment where users can track changes, review code updates, and monitor pipeline status while maintaining focus on the review process itself.
    Starting Price: Free
  • 10
    LaReview

    LaReview

    LaReview

    LaReview is a local-first, open source code review workbench designed to transform pull requests and code diffs into structured, high-signal review workflows that prioritize understanding over noise. It takes a GitHub or GitLab PR or raw diff as input and uses AI coding agents to generate a clear review plan that organizes changes by flows, risks, and intent, allowing developers to review code in a deliberate and meaningful order rather than scrolling through files. It emphasizes a reviewer-first approach, helping engineers plan their review before commenting, and focuses on delivering actionable feedback instead of producing large volumes of low-value comments. It includes AI-powered planning that analyzes code like a staff engineer, identifying hazards and building structured checklists, along with task-focused review views that group work by logical flows and highlight risk through features like file heatmaps.
    Starting Price: Free
  • 11
    SonarQube Cloud

    SonarQube Cloud

    SonarSource

    Maximize your throughput and only release clean code SonarQube Cloud (formerly SonarCloud) automatically analyzes branches and decorates pull requests. Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. With just a few clicks you're up and running right where your code lives. Immediate access to the latest features and enhancements. Project dashboards keep teams and stakeholders informed on code quality and releasability. Display project badges and show your communities you're all about awesome. Code Quality and Code Security is a concern for your entire stack, from front-end to back-end. That’s why we cover 24 languages including Python, Java, C++, and many others. Transparency makes sense and that's why the trend is growing. Come join the fun, it's entirely free for open-source projects!
  • 12
    SmartBear Collaborator
    Customize and Scale Your Peer Review Process for Code and Documents With Collaborator. Collaborator is the premier peer code & document review tool for development teams that take software quality seriously. Comprehensive Review Capabilities – Review source code, design docs, requirements, user stories, test plans, and documentation in one tool. Proof of Review – Ensure proof with electronic signatures & detailed reports to meet regulatory compliance standards. Support for 11 SCMs, including Git, SVN, TFS, Perforce, CVS, ClearCase, RTC, & more. Integrations with GitHub, GitLab, Bitbucket, Jira, Eclipse, Visual Studio, & more. Real-Time Updates. Threaded chat shows conversations as well as highlights changes & defects for visibility during each code review. Each team and project has unique requirements. Why would the same type of review work for everything? With custom review templates and checklists in Collaborator, it is easy to build peer review frameworks.
  • 13
    CodeFactor

    CodeFactor

    CodeFactor

    Get a glance at code quality for the whole project, recent commits, and the most problematic files. CodeFactor will track new and fixed issues for every commit and pull request. CodeFactor will try to show the most critical issues first based on issue code size, file change frequency, and file size so you can start fixing only what's important. Create and track issues or comments directly from code files or project issues pages. CodeFactor will update the status for GitHub or Bitbucket pull requests as well. CodeFactor allows you to toggle inspection for any repository branch on the fly. CodeFactor integrates with Slack to send code quality notifications for every commit in a branch or pull request. To install, go to the repository settings page. Straightforward pricing based on private repository number. Plain and simple with no hidden fees. Seamless integration into your workflow.
    Starting Price: $19 per month
  • 14
    Codeball AI

    Codeball AI

    Codeball AI

    Codeball is a code review AI that scores pull requests on a grade from 0 (needs careful review) to 1. Use Codeball to add labels to help you focus, auto-approve PRs, and more. The Codeball action is easy to use (sane defaults) and is highly customizable to fit your workflow when needed. Label PRs when you should review them with caution. Stay sharp, don't let the bugs pass through. Identifies and approves or labels safe PRs. Save time by fast-tracking PRs that are easy to review. Fully customizable and programmable with GitHub Actions. Codeball Actions are built on multiple smaller building blocks, that are heavily configurable through GitHub Actions. Codeball uses a deep learning model that has been trained on over 1 million Pull Requests. For each contribution, it considers hundreds of inputs. Codeball is optimized for precision, which means it only approves contributions that it's really confident in.
    Starting Price: Free
  • 15
    Baz

    Baz

    Baz

    Baz delivers the context and automation to review, track, and approve code changes with confidence. Baz transforms your code review and merging process by giving instant application insights and suggestions, helping you focus on building and shipping strong software. Baz organizes your pull request into Topics, so you can breeze through reviews with a clear structure. Baz uncovers breaking changes across APIs, endpoints, parameters, and more, analyzing how every piece fits together. Developers can review, comment, and suggest wherever they want. We'll make sure it's fully visible both on GitHub and Baz. The only way to predict the true impact of a code change is through structured impact analysis. Baz integrates AI and your developer tools to analyze your codebase, map dependencies, and provide actionable reviews that ensure your code’s stability. Plan your proposed changes and invite your team to review them. Easily assign relevant reviewers based on past contributions.
    Starting Price: $15 per month
  • 16
    Panto

    Panto

    Panto

    Panto is an AI-powered code review agent designed to enhance code quality and security by integrating seamlessly with development workflows. Its proprietary AI operating system aligns code with business context from tools like Jira and Confluence, enabling efficient and context-aware code reviews. It supports over 30 programming languages and conducts more than 30,000 security checks, ensuring comprehensive analysis of codebases. Panto AI's "Wall of Defense" operates continuously to expose vulnerabilities and suggest fixes, preventing flawed code from reaching production. With features like zero code retention, CERT-IN compliance certification, and on-premise compatibility, it prioritizes data security and compliance. Developers benefit from high signal-to-noise ratio reviews, reducing cognitive overload and allowing focus on critical logic and design issues.
    Starting Price: $12 per month
  • 17
    mrge

    mrge

    mrge

    mrge helps modern software teams ship higher-quality code, 4x faster. Get immediate feedback on every PR with AI that learns from your codebase. mrge's UI is designed to optimize how humans review code. No more merge bottlenecks, use stacked PRs to code on top of open branches. Teams that adopt mrge ship more code with smaller PRs and faster review cycles. AI-sorted diffs and review changes in the most logical order. Blitz through your pull requests with an organized inbox. Your code stays yours, always; we don’t store or mine it for data. We're currently in the process of obtaining our SOC 2 certification. mrge provides AI reviews code in real time, then wipes everything clean. Fly through PRs with keyboard shortcuts for everything. mrge offers smart, actionable alerts so you never miss a thing.
    Starting Price: $30 per month
  • 18
    Recurse

    Recurse

    Recurse ML

    We build machine learning models that find bugs in code. We can be used proactively as part of the development process by both humans and AI agents to eliminate problematic code before it's submitted for review. We can also do checks at time of code review through our GitHub agent that adds comments to PRs (Pull Requests - essentially just submissions of code), to ensure nothing slips through. We allow developers to enforce their own taste on the code that either the AI or their teams contribute to the codebase by providing Recurse Rules. These are written in markdown and are descriptions of bad patterns that you don't want present in your codebase (e.g. the concept of DRY - do not repeat yourself).
    Starting Price: $25/month (14-day free trial)
  • 19
    Propel

    Propel

    Propel Platform, Inc.

    Propel is an AI-powered code review platform that acts as your team's AI Tech Lead — giving instant PR feedback, turning comments into suggested fixes, and helping you merge faster with higher quality. Propel learns from your team on every review to improve team velocity, code quality, and developer experience over time. Additionally, Propel has Security Scanning functionality that identifies security vulnerabilities and compliance issues before they reach production. Within Propel, teams are also able to build and maintain a living knowledge base of your team's coding patterns and best practices. Furthermore, Propel provides automated weekly summaries of all GitHub activity sent directly to Slack. Perfect for exec updates, team accountability, and keeping everyone informed.
    Starting Price: $30/month/user
  • 20
    Embold

    Embold

    Embold Technologies

    Get a deeper understanding of your software with Embold's profound analysis and intuitive visuals. Visually comprehend the size and quality of every component and fully understand the state of your software at a glance. Understand issues on a component level with rich annotations and see where they are located in your code. View and navigate through all ingoing and outgoing dependencies of your software components and learn how they influence each other. Quickly understand how to refactor and split complex components by using our innovative partitioning algorithms. The EMBOLD SCORE, calculated from four dimensions, tells you which components have the biggest impact on the overall quality and need to be solved first. Analyze your code’s structural design with the help of our unique set of anti-patterns on a class, functional, and method level. Embold utilizes several metrics ranging from cyclomatic complexity to coupling between objects to measure the quality of software systems.
  • 21
    Launchpad

    Launchpad

    Launchpad

    It brings communities together — regardless of their choice of tools — by making it easy to share code, bug reports, translations and ideas across projects. With Launchpad, you can share bug reports, statuses, patches and comments across project boundaries. You can even share bug data with other trackers, such as Bugzilla and Trac. There's also everything else you need in a bug tracker: web, email and API interfaces, links between bugs and fixes, team-based delegation and more. When they're ready, they can upload their branch to Launchpad and propose it for merging back into your trunk. Code review — by web and email — gives you a public forum to discuss and approve or reject the merge. Launchpad makes translation easy for everyone. Translators get a simple web interface, with automatic suggestions from a library of more than 16 million strings.
  • 22
    CodeSee

    CodeSee

    CodeSee

    Quickly identify cross-code dependencies and navigate between files and folders. With insights to improve your understanding of the codebase and guide onboarding, planning, and reviews. Auto-generated, self-updating software architecture diagrams that sync to the codebase as your code evolves. With features to help you understand how files and folders are connected, see how a change fits into the larger architecture, and more. CodeSee Maps are automatically generated and updated every time a code change is merged, so you never have to worry about manually refreshing your Map. Using the Maps Insights panel, you can quickly visualize the most active areas of the codebase and get details on individual files and folders, including their age and how many lines of code they represent. Create visual walkthroughs of your code, using Tours to communicate ideal code paths, user flows, and more—and Tour Alerts will help you to ensure your Tours are always up to date.
  • 23
    webapp.io

    webapp.io

    webapp.io

    Our SaaS platform sits alongside your existing CI/CD pipeline to create preview environments and run end-to-end tests. Once a developer pushes code, we will create a new copy of your stack in seconds by reusing snapshots from previous builds. In one copy of your stack, you can run end-to-end tests. In another you might build and push Docker images, and in yet another, you'd create ephemeral review environments. Once a change is reviewed, it can be immediately deployed to users using your existing deployment pipeline. After you've configured your stack once within webapp.io, you can make 10 copies instantly and run all of your end-to-end and acceptance tests in parallel.
  • 24
    Trag

    Trag

    Trag

    Empower engineering teams to save time and focus on what they do best, which is building products. Create your own patterns, and describe what you will look like while reviewing, Trag will do it before you jump in. Create rules for your use cases for your team, as many as you want, as thorough as you want. Monitor the progress, all the failing rules can be recovered by our AI. We never commit directly, you will get PR with the fix. Connect multiple repositories, multiple repositories at your hand. Invite and collaborate with your teammates. Trag will automatically review PRs with written patterns. Monitor pull request analytics and make faster, better decisions. Write your own patterns using natural language. Trag will automatically match rules with the PR changes and will automatically fix them. Every single piece of data is encrypted and secure, we never commit directly, only through PRs, and we don't use your code for any development purposes.
  • 25
    Reviu

    Reviu

    Joris Gallot

    Reviu is a native desktop Git client built for fast review workflows. The free version covers local Git: review diffs in inline or split mode, stage and restore by file or hunk, commit, amend, branch, rebase, cherry-pick, stash, and resolve conflicts, all from a keyboard-first UI with a command palette. Reviu Pro adds GitHub directly in the app: notifications, repository browsing (overview, readme, code, pull requests, issues), and full pull request review with inline comments, approvals, checks, and merge flows. Built with Rust and GPUI for native performance. No Electron, no webview.
    Starting Price: $19/month
  • 26
    Reviewable

    Reviewable

    Reviewable

    You've found the right code review tool. Tracks where par­tic­i­pants stand on each dis­cus­sion, en­sur­ing it won't dis­ap­pear un­til re­solved. Fully cus­tomiz­able logic de­ter­mines when a re­view is com­plete. Clearly shows net deltas since last time you looked, even if com­mits got re­based or amended. Batches com­ments and cor­rectly threads email re­sponses. Works only with GitHub and GitHub En­ter­prise, mak­ing for a seam­less in­te­gra­tion. Min­i­mal ad­min busy­work, no ex­tra fluff — just awe­some code re­views. In­stantly diff any two re­vi­sions of a file, in uni­fied or side-by-side style. Hide mi­nor changes: white­space, merge, and re­base deltas. Cus­tomize mar­gin, fonts, col­ors, key­board short­cuts, etc. Jump from a com­ment straight to the right spot in your fa­vorite ed­i­tor. Line com­ments map across file re­vi­sions and stay in place un­til re­solved, not just un­til changes are pushed. Mod­ern, clean UI with a touch of whimsy.
  • 27
    Jtest

    Jtest

    Parasoft

    Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress.
  • 28
    CodeSonar

    CodeSonar

    CodeSecure

    CodeSonar employs a unified dataflow and symbolic execution analysis that examines the computation of the complete application. By not relying on pattern matching or similar approximations, CodeSonar's static analysis engine is extraordinarily deep, finding 3-5 times more defects on average than other static analysis tools. Unlike many software development tools, such as testing tools, compilers, configuration management, etc., SAST tools can be integrated into a team's development process at any time with ease. SAST technologies like CodeSonar simply attach to your existing build environments to add analysis information to your verification process. Like a compiler, CodeSonar does a build of your code using your existing build environment, but instead of creating object code, CodeSonar creates an abstract model of your entire program. From the derived model, CodeSonar’s symbolic execution engine explores program paths, reasoning about program variables and how they relate.
  • 29
    Veracode

    Veracode

    Veracode

    Veracode offers a holistic, scalable way to manage security risk across your entire application portfolio. We are the only solution that can provide visibility into application status across all testing types, including SAST, DAST, SCA, and manual penetration testing, in one centralized view.