Alternatives to Codeball AI

Compare Codeball AI alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Codeball AI in 2026. Compare features, ratings, user reviews, pricing, and more from Codeball AI competitors and alternatives in order to make an informed decision for your business.

  • 1
    Gemini Code Assist
    Increase software development and delivery velocity using generative AI assistance, with enterprise security and privacy protection. Gemini Code Assist completes your code as you write, and generates whole code blocks or functions on demand. Code assistance is available in many popular IDEs, such as Visual Studio Code, JetBrains IDEs (IntelliJ, PyCharm, GoLand, WebStorm, and more), Cloud Workstations, Cloud Shell Editor, and supports 20+ programming languages, including Java, JavaScript, Python, C, C++, Go, PHP, and SQL. Through a natural language chat interface, you can quickly chat with Gemini Code Assist to get answers to your coding questions, or receive guidance on coding best practices. Chat is available in all supported IDEs. Enterprises can customize Gemini Code Assist using their organization’s private codebases and knowledge sources so that Gemini Code Assist can offer more tailored assistance. Gemini Code Assist enables large-scale changes to entire codebases.
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    Pullflow

    Pullflow

    Pullflow

    Collaborate with each other and AI in the most natural way without leaving your favorite tools - minimizing distraction and context switching. Pullflow synchronizes user identities and code-review activity across GitHub, Slack, and VS Code, enabling you to converse naturally across platforms. Take action from wherever you are, and return to your flow. Pullflow integrates with GitHub Actions, external CI/CD, GitHub apps, and more, to bring you a single view of your pull request from draft and review to test and deploy. Let Pullflow take care of quick actions for you with just a chat mention or IDE keyboard shortcut. Request review, add/remove labels, give feedback, approve, and more, without a trip to GitHub.
    Starting Price: $5 per user per month
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    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
  • 4
    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)
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    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
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    Ellipsis

    Ellipsis

    Ellipsis.dev

    Ellipsis is an AI-powered code review and bug-fixing platform that integrates directly into GitHub pull requests. It automatically reviews every commit to detect logical bugs, antipatterns, and style guide violations across all programming languages. Ellipsis goes beyond basic reviews by acting as an AI teammate that can answer questions, generate code, and fix build issues. Developers can assign tasks to Ellipsis using GitHub comments and receive working, tested code in minutes. The platform supports style guide–as–code, allowing teams to define standards in natural language. Ellipsis prioritizes security with SOC 2 certification and zero source code retention. It helps engineering teams ship higher-quality code faster without increasing review overhead.
    Starting Price: $20/developer/month
  • 7
    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
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    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
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    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
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    CodeScene

    CodeScene

    CodeScene

    CodeScene is a code analysis, visualization, and reporting tool. Cross reference contextual factors such as code quality, team dynamics, and delivery output to get actionable insights to effectively reduce technical debt and deliver better code quality. We enable software development teams to make confident, data-driven decisions that fuel performance and developer productivity. Supporting 28+ programming languages, CodeScene also offers an automated integration with GitHub, BitBucket, Azure DevOps or GitLab pull requests to incorporate the analysis results into existing delivery workflows. Automate your code reviews, get early warnings and recommendations about complex code before merging it to the main branch and set quality gates to trigger in case your code health declines.
    Starting Price: €18 per active author/month
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    gitStream

    gitStream

    LinearB

    gitStream lets you configure rules that decide how each pull request is treated based on the content of the code. These rules automatically find the right reviewer, check for deprecation, add context tags, and much more. The practice of improving merge efficiency by classifying pull requests based on change size and complexity. Automating the merge path based on the unique merge conditions allows work to flow more efficiently. gitStream adds context to your PRs with labels and comments. This added context empowers your developers to make the best decisions about how and when to work. Speed up time to merge by applying an auto-approve check on pull requests with simple changes like minor version updates of internal libraries. Automate change requests based on org. level coding practices like moving away from deprecated services.
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    CodeRabbit

    CodeRabbit

    CodeRabbit

    Privacy-focused, contextual pull request reviews with line-by-line code suggestions and interactive chat that gets smarter over time. The diff in the pull request is transformed into a clear summary, helping you understand the intent of the changes. Creates automated release notes, convenient for inclusion in the release documentation. A detailed, line-by-line analysis of the code changes provides precise and actionable suggestions ready to be committed. Ask questions to the bot within your code lines, provide more context, and have it write the code. The more you chat with the bot, the smarter it will become. Shorten cycle time with faster review feedback and high-quality code change suggestions. Your data stays confidential and solely fine-tunes your reviews. The system learns from your interactions, refining the reviews to align with your preferences.
    Starting Price: $12 per month
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    cubic

    cubic

    cubic

    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
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    PullRequest

    PullRequest

    HackerOne

    Get on-demand code reviews from vetted, expert engineers enhanced by AI. Add senior engineers to your team every time you open a pull request. Ship better, more secure code faster with AI-assisted code reviews. Whether you're a development team of 5 or 5,000, PullRequest will supercharge your existing code review process and adapt to your needs. Our reviewers will help your team catch security vulnerabilities, find hidden bugs, and fix performance issues before they reach production. All of this is done within your existing tools. Expert human reviewers enhanced by an AI analysis to pinpoint high-risk security hotspots. Intelligent static analysis combining open source tools and proprietary AI shown to reviewers for deeper insights. Save your senior staff some time. Make meaningful progress resolving issues and improving code while other members of your team are busy building.
    Starting Price: $129 per month
  • 15
    Squire AI

    Squire AI

    Squire AI

    Get away from essay writing, Squire writes pull request descriptions for you. Keep your team in sync with a clear description and changelog. With an agentic workflow, Squire has a team reviewing your PR with the full context of your codebase. Able to catch many issues like systemic breaking changes, security concerns, and even small spelling mistakes. We improve code quality and get your PR into production. Squire is a context-aware agent who works with you to write pull request descriptions, review PRs, and learn how you like your code reviewed. Squire learns how your team reviews code and fits your style with explicit configuration and learning from your team's interactions. Map and synchronize ownership and responsibility across your entire engineering stack. Maintain compliance by applying and maintaining rules on your engineering components.
    Starting Price: $20 per month
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    Graphite

    Graphite

    Cursor

    Streamline Git commands and seamlessly stack pull requests from your terminal. Create and edit stacked PRs visually without leaving your IDE. Stay on top of every PR and review request in one unified inbox. Get immediate, actionable feedback on every pull request with Graphite's codebase-aware AI. Eliminate merge conflicts and keep your main branch green, whether you're a team of 10 or 10,000. Accelerate your team with powerful, real-time developer metrics. A faster, more intuitive Git interface, designed to make stacking effortless. Run gt create again to stack another branch on top of your previous changes without waiting for them to merge into the main. Automatically sync your local stack with remote changes, and clean up stale branches with gt sync. Update changes across your stack with gt modify. Graphite handles all of the recursive rebasing for you. Create or update PRs for every branch in your stack with gt submit.
    Starting Price: $99 per month
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    Callstack.ai PR Reviewer
    AI-powered pull request reviewer with deep contextual insights, tailored feedback, and one-click automated setup. Callstack.ai PR Reviewer saves you time and lowers error risk with automatic PR summaries, security & bug checks, and performance optimization suggestions. Automatic PR Summaries
Understand code changes quickly with auto-generated summaries and diagram. Context-Aware Feedback
Callstack.ai aligns with your team’s coding standards by understanding the core structure of your code for context-driven insights. Customizable Reviews Tailor Callstack.ai to provide feedback that aligns with your unique coding standards and requirements. Compatible with Major Programming Languages
We currently support repositories written in the following languages: javascript, typescript, python, java, kotlin, php, go, ruby, rust, react & vue.
    Starting Price: $285/month (per 100 reviews)
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    Gitya

    Gitya

    Gitya

    Leverages advanced AI to manage and automate minor tasks. Streamlines pull request processes with automated reviews and responses. Simply label a ticket with Gitya, and let our AI handle minor tasks swiftly. Seamlessly integrates with your existing GitHub workflow.
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    Pull Sense

    Pull Sense

    Pull Sense

    Pull Sense is an AI-powered code review assistant designed to enhance development workflows by automating pull request reviews within GitHub. It provides instant, intelligent feedback on code changes, identifying potential bugs, security vulnerabilities, and areas for improvement, thereby streamlining the review process and maintaining consistent coding standards. Users can integrate their own AI models, such as Anthropic, OpenAI, or Deepseek, by utilizing their API keys, ensuring flexibility and control over the review process. The platform generates contextual inline comments directly within pull requests, offering actionable insights without disrupting existing workflows. Teams can define and enforce custom coding standards through flexible configuration options, promoting uniformity across codebases. With a quick setup process, Pull Sense seamlessly integrates with GitHub, allowing users to start reviewing code in minutes.
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    StepSecurity

    StepSecurity

    StepSecurity

    If you are using GitHub Actions for CI/CD and are worried about the security of CI/CD pipelines, StepSecurity platform is for you. Implement network egress control and CI/CD infrastructure security for GitHub Actions runners. Discover CI/CD risks and GitHub Actions security misconfiguration. Standardize GitHub Actions CI/CD pipeline as code files by automated pull requests. Provides runtime security to help you prevent SolarWinds and Codecov CI/CD security attacks by blocking egress traffic with an allowlist. Instant contextualized insight into network and file events for all workflow runs. Control network egress traffic with granular job-level and default cluster-wide policies. Many GitHub Actions are not maintained and are risky. Enterprises fork such Actions, but ongoing maintenance is expensive. By offloading the tasks of reviewing, forking, and maintaining Actions to StepSecurity, enterprises can realize substantial risk reduction and time savings.
    Starting Price: $1,600 per month
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    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
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    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.
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    Codacy

    Codacy

    Codacy

    Codacy is an automated code review tool that helps identify issues through static code analysis, allowing engineering teams to save time in code reviews and tackle technical debt. Codacy integrates seamlessly into existing workflows on your Git provider, and also with Slack, JIRA, or using Webhooks. Users receive notifications on security issues, code coverage, code duplication, and code complexity in every commit and pull request along with advanced code metrics on the health of a project and team performance. The Codacy CLI enables running Codacy code analysis locally, so teams can see Codacy results without having to check their Git provider or the Codacy app. Codacy supports more than 30 coding languages and is available in free open-source, and enterprise versions (cloud and self-hosted). For more see https://www.codacy.com/
    Starting Price: $15.00/month/user
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    GitChat

    GitChat

    GitChat

    Improve your code and catch bugs faster with AI-generated summaries and real-time chat. Get instant context with AI summaries on every pull request, helping your team save time on code reviews. Enhance code quality and ship faster with instant, actionable feedback on every pull request. Use GitHub Pull Request Comments to chat with AI to uncover issues and get instant feedback on your code. Customize your code review assistant by setting up rules and filters to meet your team's needs and get optimal results. Supercharge your code reviews with GitChat. Improve your code quality and ship products faster.
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    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.
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    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
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    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
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    Codara

    Codara

    Codara

    Simplify code reviews with artificial intelligence. Increase productivity and decrease cost. Receive suggestions and potential fixes for errors and warnings. Codara’s CLI tool fits smoothly into your existing development environment. Set up in minutes, review in seconds, harness the power of AI to detect potential issues, suggest optimizations, and ensure your code is clean and efficient. Get instant, actionable feedback as you code. Codara’s AI reviews your work in real-time, helping you catch errors before they escalate. Whether it’s style, complexity, or performance, Codara adapts to your needs. Your code’s privacy is paramount. Codara ensures your data remains confidential and secure at all times. Built for projects of all sizes, Codara scales with your needs, ensuring consistent performance.
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    Bugbot

    Bugbot

    Cursor

    Bugbot is an AI-powered code review agent that automatically reviews pull requests to identify bugs, security issues, and code quality problems. Built into the Cursor ecosystem, Bugbot analyzes PR diffs and leaves contextual comments with clear explanations and fix suggestions. It runs automatically on every pull request update or can be triggered manually using comments. Bugbot reads existing PR discussions to avoid duplicate feedback and build on prior context. The tool supports customizable rules through configuration files and team-wide policies to enforce coding standards. Bugbot integrates seamlessly with GitHub, GitLab, and enterprise repositories. It helps development teams catch issues early and improve code quality without slowing down workflows.
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    Korbit

    Korbit

    Korbit

    Korbit is an AI-powered code review platform designed to enhance developer productivity by providing real-time, actionable feedback within pull requests. It integrates seamlessly with GitHub, GitLab, and Bitbucket, offering instant PR code reviews that identify issues and suggest fixes, akin to a human reviewer but faster. Korbit generates comprehensive PR descriptions, clarifying the context and purpose of changes, and writes summaries of its code reviews to help teams focus on critical issues. It offers a management dashboard that delivers insights into code quality, project status, and developer performance, aiding in effective team management. Korbit's adaptive reviews utilize deep project context, feedback, and custom settings to detect high-impact issues and provide explanations on how to resolve them. It also responds to questions and comments within the PR, offering replacement code to guide developers through any issues.
    Starting Price: $9 per month
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    What The Diff

    What The Diff

    What The Diff

    Save costly developer time by automating pull request summaries. Open a pull request and get a summary of the changes in seconds. Instantly understand the implications of small pull requests and get a huge headstart on big ones. A lot of time is spent on code reviews with back and forth between the reviewer and the author - often about minor changes that could be done automatically. Just comment on the lines of code that should be refactored with /wtd and describe the changes that you want. What The Diff will then suggest the changes in the pull request and you can accept them with a single click. What The Diff analyzes the changes of your pull requests and gives you and your team a summary of all the changes in plain english – no need to do this yourself. What The Diff has been trained with a huge data set of code and supports nearly all programming languages. Install the GitHub app for free and give it a try it on one of your repositories.
    Starting Price: $19 per month
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    Mendel

    Mendel

    Mendel

    Mendel is an AI-powered code intelligence platform designed to automate pull request reviews, flag complexity and compliance issues, and surface team insights. By leveraging agentic AI workflows, Mendel enhances engineering efficiency through features like automated code reviews, real-time performance analytics, intelligent repository and code analysis, and smart dependency and compliance checks. It provides actionable insights from repositories and developer contributions, enabling teams to track performance and resolve bottlenecks effectively. With capabilities such as docstring detection, complexity analysis, and issue classification, Mendel streamlines repository scans. It also automates scans for outdated libraries and vulnerable dependencies, ensuring robust security across the codebase. Mendel's integration with existing Git workflows allows for seamless adoption, delivering context-rich AI reviews instantly.
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    Bito

    Bito

    Bito

    Bito uses AI to streamline code reviews, making them faster and more consistent. The AI Code Review Agent understands the broader codebase and delivers precise, context-aware suggestions on pull requests. Engineering teams rely on Bito to speed up review cycles, catch regressions early, and improve code quality. It integrates with GitHub, GitLab, and Bitbucket, and installs with a single click. No code is stored, and no models are trained on your data.
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    Starting Price: $15/seat/month
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    Optibot

    Optibot

    Optimal AI

    Optimal AI’s flagship product, Optibot, is an on-demand AI agentic code reviewer that installs in GitHub, GitLab, or Bitbucket in under a minute to automatically catch bugs, security vulnerabilities, hard-coded credentials, and hidden risks, without ever storing your data or using it for model training. By building memory of your codebase and context-rich precision, Optibot reduces pull-request review times by up to 50 percent, frees senior engineers from repetitive checks, and boosts overall team throughput with real-time dashboards that surface cycle times, review performance, and productivity metrics. Beyond automated PR reviews, Optibot offers customizable agents for codebase complexity analysis, predictive maintenance, advanced bug detection, story-point estimation, and regulatory-change management, as well as integrations with JIRA for contextual reviews. Security-focused agents proactively scan for misconfigurations, race conditions, and vulnerabilities.
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    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
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    Metabob

    Metabob

    Metabob

    Metabob detects, explains, and fixes coding problems created by humans and AI. Metabob utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them, combining the best of both worlds. GNN detects and classifies problematic code with contextual understanding. Problematic code along with enriched context is stored in Metabob's backend. The stored information from the backend is passed to an integrated LLM. The LLM generates a context-sensitive problem explanation and resolution. Metabob's AI is trained on millions of bug fixes performed by experienced developers. The ability to understand code logic and context, enables Metabob to detect complex problems that span across codebases and automatically generate fixes for them. Metabob's AI code review detects hundreds of logical problems, varying from race conditions to unhandled edge cases. Such problems cannot be detected with traditional static analysis tools.
    Starting Price: $20 per month
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    GitPack

    GitPack

    GitPack

    GitPack AI is an AI-driven code review tool that integrates seamlessly with GitHub repositories, providing automated, context-aware feedback on pull requests. Once installed via a one-click process from the GitHub Marketplace, it operates in the background, reviewing code changes as they are submitted. It leverages OpenAI's GPT-4o model to deliver line-by-line code analysis, offering smart, tailored testing suggestions specific to each project. This approach helps maintain coding standards, catch bugs early, and improve overall code health across development teams. GitPack AI requires no setup and is designed to scale with your team's needs, supporting unlimited public and private repositories. It aims to automate routine code reviews, allowing developers to focus on writing new features rather than manual checks.
    Starting Price: $5 per month
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    HOJI AI

    HOJI AI

    HOJI AI

    Speeding up the review process but ensuring consistent, high-quality feedback, freeing senior developers for more complex tasks. Your engineers are your most valuable (and expensive) resource. HOJI AI helps them focus on what they do best, and do it even better. We do not use, store, or train on your codebase. We only store code review snippets for your reference and quality assurance purposes. Hoji AI uses a powerful AI pipeline built on top of GPT-4 to intelligently access context in ways GPT alone cannot.
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    devlo

    devlo

    devlo AI

    devlo is an AI-powered development assistant designed to help teams accelerate their software development process by automating tasks such as bug fixing, feature development, code enhancements, and automated testing. The platform integrates seamlessly with GitHub repositories, enabling developers to resolve tickets, review pull requests, and generate unit tests with minimal effort. devlo’s AI capabilities allow it to understand and validate code changes, automate follow-up tasks, and provide expert-level code reviews in under a minute. By handling routine development tasks, devlo empowers teams to focus on innovation and ship products faster, while ensuring high-quality, secure code. It supports all major programming languages and is built with enterprise-grade security and privacy in mind.
    Starting Price: $39/month
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    Matter AI

    Matter AI

    Matter AI

    Matter AI is an AI-powered code reviewer designed to streamline pull request workflows by generating detailed, context-aware summaries in seconds, eliminating the need for manual writing. It enhances code quality by identifying bugs, security risks, and performance issues before they reach production. By integrating with internal tools like Notion, JIRA, Confluence, and Linear, Matter AI provides reliable and trusted summaries and code analysis. Its AI explanations help reviewers understand complex code instantly, making approvals smoother and reducing review cycles. Matter AI operates with a strong emphasis on security, being SOC 2 Type II certified, and ensures data privacy by processing code in isolated environments without storing proprietary code. This tool is ideal for development teams aiming to accelerate their code review process while maintaining high standards of code quality and security.
    Starting Price: $12 per month
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    Code Climate

    Code Climate

    Code Climate

    Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day.
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    Diamond

    Diamond

    Diamond

    ​Diamond is an advanced AI code review tool that provides immediate, actionable feedback on every pull request, enhancing code quality and accelerating development cycles. It automatically identifies potential issues such as logic bugs, security vulnerabilities, performance bottlenecks, and documentation inconsistencies, allowing teams to focus more on building and less on manual reviews. With zero setups required, Diamond integrates seamlessly with your repository, offering high-signal, codebase-aware insights without the noise often associated with other AI tools. Users can customize review standards by importing their own style guides, filtering out unwanted comments to maintain a focused review experience, and benefiting from codebase awareness that enhances comment quality. It also provides review insights with analytics on comment metrics, including issue categories, and offers suggested fixes that can be accepted with a single click.
    Starting Price: $20 per month
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    Tusk

    Tusk

    Tusk

    Save time and effort by assigning smaller tickets to an AI agent. Tusk helps software engineers complete chore tickets at the speed of thought. Tusk automatically iterates on its code changes to address any code reviews left on the pull request. No good engineer pushes code without testing. Tusk runs your automated checks and tests to make sure the PR works. If we can’t create a pull request, we’ll still save you time by providing code context as a jumping-off point. With Tusk, you can avoid getting distracted by your PMs over chore tickets. Focus your time on fulfilling work, while also raising the bar on your product. Customer-reported bugs can be time-consuming to investigate and tackle. Let Tusk have the first pass at fixing them. We know you have better things to do than removing a word in a header or finding and replacing a term across multiple files. Have Tusk go through your product quality backlog. We'll implement the UI/UX changes that you've been neglecting for weeks.
    Starting Price: $495 per month
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    Stickler CI

    Stickler CI

    Stickler

    Align your team's code reviews with automatic style feedback, for all the languages you use, all in one place. Connecting your repository is a couple of clicks away and our reviews finish in record time. Use the default style guides or customize each tool to fit your team's tastes. Use auto fixing to correct your team's style errors so you can focus on feedback. Stickler CI only keeps your code on our servers for the duration of a review. After the comments for a review are posted your code is removed from our servers. Incrementally improve and standardize the quality of your code in each pull request. Ensure your coding standards are applied consistently as code changes without having to disrupt your team. Make sure your code quality and style are standardized by automatically applying style and quality checking tools. Either use the defaults or customize linters to fit your existing coding standards.
    Starting Price: $15 per month
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    Dryrun Security

    Dryrun Security

    DryRun Security

    DryRun Security has been built from our experience training 10,000+ developers and security professionals in application security testing and building security products at GitHub and Signal Sciences. From our experience, one thing is missing from all tools on the market today: security context for developers. Developers make code changes all day, every day. They need a security tool that provides security context to help them move faster and safer. Security code reviews often slow down the development team and happen too late in the development pipeline. Developers need security context right when a pull request is opened, so they can know the impact of the code change that's getting merged. Until now, most security testing has taken a generic approach that frustrates developers with repetitive alerts or inaccurate results.
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    ThinkReview

    ThinkReview

    ThinkReview

    ThinkReview is an AI-powered code-review tool built for developers using GitLab and Azure DevOps that delivers instant analysis of merge requests and pull requests directly in the browser. Without requiring complex setup or configuration, it detects when you are viewing a MR/PR, fetches the code changes, and displays an AI-generated review panel that includes summaries, security findings, quality suggestions, and auto-generated review comments. Users can engage in chat-style interaction with the changes, ask questions, regenerate review perspectives, and receive smart follow-up questions for discussion. It supports both self-hosted and cloud instances, works out of the box, and is available as a browser extension containing features such as automatic detection of MRs/PRs, smart summaries, comment generation, and multilingual support. Built for speed and ease, ThinkReview focuses on improving code quality and accelerating review cycles by embedding AI into existing workflows.
    Starting Price: $6.99 per month
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    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
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    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.
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    Cantina Code
    Cantina Code is a dedicated code-review platform optimized for security assessments, enabling clients and researchers to perform thorough reviews, communicate seamlessly, and manage submissions in one unified environment. The platform features a live, real-time findings dashboard that allows clients to track vulnerabilities and commentary as they occur, as well as filtering capabilities to sort by severity, author, or custom labels. For researchers, Cantina Code offers structured submission forms, built-in severity and status labels, and direct in-tool commenting and pinging so teams can collaborate easily and reduce noise. Reputation scores help triage work by highlighting trusted researchers and reducing spam, while an AI assistant aids in triage and de-duplication of low-signal submissions. The platform supports different engagement models, such as public competitions, private reviews, bug bounties, or collaborative assessments, with dashboard settings adapting to the review type.
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    SonarQube Server

    SonarQube Server

    SonarSource

    SonarQube Server is a self-managed solution for continuous code quality inspection that helps development teams identify and fix bugs, vulnerabilities, and code smells in real-time. It provides automated static code analysis for a variety of programming languages, ensuring the highest quality and security standards are maintained throughout the development lifecycle. SonarQube Server integrates seamlessly with existing CI/CD pipelines, offering flexibility for on-premise or cloud-based deployment. With advanced reporting features, it helps teams manage technical debt, track improvements, and enforce coding standards. SonarQube Server is ideal for organizations seeking full control over their code quality and security without compromising on performance.