Best Code Review Tools for Enterprise

Collaboration with AI and each other is made easy without having to switch between tools. This reduces distractions and context switches. Pullflow synchronizes your user identities and code review activity across GitHub Slack and VS Code. This allows you to communicate naturally across platforms. Take action wherever you are and return to your flow. Pullflow integrates GitHub Actions, external CI/CD tools, GitHub apps and more to give you a single view on your pull request, from the draft stage to the test and deployment phase. Pullflow can take care of your quick actions with a simple chat mention or IDE shortcut. Request review, add/remove label, give feedback, accept, and more without a trip on GitHub.

Ellipsis can review, write, and answer questions about your source codes. Ellipsis uses LLMs to provide thoughtful code reviews, summaries and easy-to accept suggestions. We'll consider your style guide while reviewing. Open an issue and assign it to Ellipsis. This will automate simple changes and bug fixes. You'll receive a pull request in a matter of minutes. Ellipsis can help you ship faster by addressing comments left in pull requests. We'll translate the comments and create tested, working code. Ellipsis does not store or train your source code. It will never commit your default branch and will only open new pull requests or add new commits when you explicitly ask it to.

StepSecurity is the platform for you if you use GitHub Actions to perform CI/CD. Implement network egress and CI/CD security for GitHub Actions runner. Discover CI/CD security risks and GitHub action misconfiguration. Automated pull requests can standardize GitHub Actions CI/CD as code files. Allowlists block egress traffic to prevent SolarWinds or Codecov CI/CD attacks. Instant contextualized insight in network and file events across all workflow runs. Control network egress with granular policies at the job level and default cluster-wide. Many GitHub Actions do not receive maintenance and are therefore risky. These Actions are forked by enterprises, but the ongoing maintenance is costly. StepSecurity can help enterprises reduce risk and save time by allowing them to delegate the review, forking and maintenance of Actions.

Squire will write the pull request descriptions. Keep your team on the same page with a clear description. Squire's agentic workflow allows a team to review your PR in the context of your entire codebase. It can catch many issues, such as systemic breaking changes or security concerns. We improve code quality, and get your PR in production. Squire is an agent that works with you to review PRs and learn your preferences for code reviews. Squire adapts to your style by learning how your team reviews code. It does this through explicit configurations and learning from the interactions of your team. Map and synchronize responsibility and ownership across your entire engineering stack. Maintain compliance by applying rules to your engineering components.

Get code reviews on-demand from experts, vetted by AI. Every time you open a Pull Request, senior engineers will be added to your team. AI-assisted code review will help you deliver better, more secure software faster. PullRequest can adapt to the needs of any development team, whether it's 5 or 5,000. Our reviewers help your team find security vulnerabilities, hidden bugs, and fix any performance issues before they are released. All of this can be done using your existing tools. AI analysis enhances the expertise of human reviewers to identify high-risk security areas. Intelligent static analysis using open source tools combined with proprietary AI. Shown to reviewers for greater insights. Save your senior staff time. While other members of your group are busy building, you can make meaningful progress in resolving problems and improving code.

DeepCode AI is the backbone of Snyk, and it's why it's also the fastest, most accurate SAST available. DeepCode AI, the AI powering Snyk, uses multiple AI models and is trained using security-specific data. It is then curated by top researchers to give all the benefits of AI without the drawbacks. DeepCode AI from Snyk was created to manage tech debt and find and fix vulnerabilities. It supports 11 languages and has multiple AI models. DeepCode AI is the engine behind Snyk’s one-click app coverage and security fixes. This allows developers to build quickly while remaining secure. DeepCode AI, our specialized AI, is built and refined using training data from open source projects. Never customer data. DeepCode AI uses a hybrid approach that combines multiple models and security-specific learning sets to secure applications.

Codeball is an AI code reviewer that grades pull requests from 0 (needs to be carefully reviewed) to 1. Codeball can be used to add labels that help you focus and auto-approve PRs. Codeball is easy to use and has a set of defaults that are logical. It can be customized to fit your workflow. Label PRs if you need to review them with caution. Keep your eyes open and don't allow bugs to slip through. Identifies, approves, or labels PRs that are safe. Save time by accelerating PRs that can be easily reviewed. GitHub Actions allows for full customization and programming. Codeball Actions consist of multiple smaller building block components that are highly configurable via GitHub Actions. Codeball uses a deep-learning model that was trained on more than 1 million Pull Requests. It considers hundreds inputs for each contribution. Codeball is optimized to be precise, so it only approves contributions it's confident in.

Metabob detects coding errors created by humans or AI, explains them, and fixes them. Metabob uses proprietary graph neural network to detect problems, and LLMs explain and resolve them. This combines the best of both worlds. GNN detects problematic code and classifies it with contextual understanding. Metabob's backend stores problematic code and context enriched with context. The backend stores the information and passes it to an integrated LLM. The LLM provides context-sensitive explanations and solutions to problems. Metabob's AI has been trained by millions of bug fixes made by experienced developers. Metabob's ability to understand context and code logic allows it to detect complex issues that span multiple codebases, and automatically generate solutions. Metabob's AI code reviews detect hundreds of logical issues, ranging from race conditions to unhandled edges cases. These problems are not detectable by static analysis tools.

Streamline Git commands to stack pull requests seamlessly from your terminal. Visually edit and create stacked pull requests without leaving the IDE. Keep track of all PRs and review requests in one inbox. Graphite AI's codebase aware feature provides immediate feedback and actionable suggestions on every pull request. Eliminate merge conflict and keep your main branches green, regardless of whether you have a team with 10 or 10,000 members. Accelerate the team with powerful real-time developer metrics. A faster and more intuitive Git interface designed to make stacking easy. Run gtcreate again to stack a new branch on top of the previous ones without waiting for them merge into the main. Gt sync will automatically sync your local changes with remote ones, and remove stale branches. Modify your stack to update changes. Graphite will handle all recursive rebasing. Create or update PRs on every branch of your stack using gt submit.

Astronuts, an AI-powered platform for code review, is designed to streamline development by automating code reviews. Developers can initiate code analyses with a single command and receive line-by-line intelligent comments and auto-fix suggestion. The platform provides features such as code quality metrics, change logs, and pull request summaries. All of these are accessible via a user-friendly GUI. Astronuts integrates seamlessly into GitHub. This allows teams to monitor pull requests batch sizes and code quality metrics, reducing review time and minimizing bugs. The platform offers real-time chats for code-related questions, configurable behavior settings and gateway rules that enforce code quality standards. Astronuts is able to cater to a variety of development environments with its support for multiple languages and build systems. The platform offers $5 in credits as a free trial, allowing teams to try out its benefits without any initial costs.

Forge is a code review assistant that uses AI to ensure high-quality code. It can save developers countless hours of time and help them maintain their code. Forge, which is currently in beta, is available to Teams users of GitHub Free, GitHub Pro and GitHub Team. AI can help you understand the code that you are reviewing by explaining subtle changes. Instantly generate suggestions to reduce turnaround times and ensure that the author and the reviewer are on a similar page. Add GIFs or AI-generated ASCII artwork to your reviews to make them more fun and interesting. Use AI to scan code to ensure code quality and maintainability based on organization-specific or team-specific guidelines. Forge is an extension for Chrome that replaces the Code Review experience you have with a more powerful AI-infused version. Forge uses AI to enhance the current review flow while still allowing users to perform most of the usual actions they would do when reviewing code.

Deliver on time and on budget. RhodeCode allows you to code faster, test more, reduce bugs, and use best practices across your code base. Secure your assets and team behind-the firewall Our customers can share the same secure platform in defense, fintech, and other highly secure uses cases. You can leverage your investments and team better to deliver on your roadmap. You can unlock the value of legacy apps and teams that are being isolated from your new, agile projects. We have great support for SVN. You can get Git on a straight path, and continue to benefit from your SVN tools and apps for many years. Deliver outstanding results, faster. You can develop software in a collaborative environment that encourages innovation, drives projects forward, and allows you to track and better allocate developer resources. SCM solutions that are secure and highly efficient are required by large-scale global development teams. RhodeCode's mission it to exceed your expectations.

With syntax highlighting and colored distinctions, you can read both old and new files. To make the correct changes, discuss specific sections with others. Gerrit supports Git-enabled SSH/HTTPS servers that are compatible with all Git clients. Hosting multiple Git repositories together simplifies management. Schedule git gc to run on all managed repositories. Replicate to geographical mirrors for latency reduction. Back up servers for hot spare redundancy. Server-side plugins can be used to customize Gerrit Code Review. The project listing contains the source code for additional plugins.

Helix Swarm is a web-based and free code review tool for Helix Core. Helix Swarm helps you keep your projects moving at a rapid pace while adhering to your organizational processes. It allows teams to work together for more efficient code reviews. This code review tool allows contributors to share files, comment, suggest tasks and vote up or down. Helix Swarm simplifies peer code review. This will allow you to ensure that the right code is reviewed by the right people, on time. This will make your code reviews more efficient and improve the quality of your next release.

You can quickly identify cross-code dependencies, and navigate between files and directories. This tool will help you gain a better understanding of the codebase. It will also guide you in planning, reviewing, and onboarding. Software architecture diagrams that automatically update and sync with the codebase. You can use these features to understand how files and folders connect, and how a change fits into the larger architecture. CodeSee Maps are automatically generated when a code change is merged. This means that you don't have to manually refresh your Map. You can quickly see the most active areas in the codebase. You can also get information on each file and folder, including their age and number of lines of code. Tour Alerts can help you keep your Tours up-to-date by allowing you to create visual walkthroughs of your code using Tours.

Cosine is able to understand and provide answers at a superhuman level, whether they are high-level or complex. We are not just an LLM-wrapper. We combine multiple heuristics, including static analysis and semantic search. Ask Cosine to generate a step-by-step guide on how to add new features or modify existing code. Cosine indexes your codebase and understands it on multiple levels. Cosine is able to answer any questions you may have about your codebase, from a graph relationship between functions and files to a deep understanding of the code. Genie is by far the best AI software engineer on the planet - achieving an eval score of 30% on the industry benchmark SWE Bench. Genie can solve bugs, build new features, refactor the code, and do everything else either fully autonomously, or in tandem with the user.

AI-powered pull requests reviewer with contextual insights, tailored comments, and automated setup in one click. Callstack.ai's PR Reviewer will save you time and reduce error risk by providing automatic summaries of PRs, security and bug checks, as well as performance optimization suggestions. {Automatic PR Summaries Understand code changes quickly with auto-generated summaries and diagram.|Automatic PR summaries Understand code changes faster with automatically generated summaries and diagrams.} {Context-Aware Feedback Callstack.ai aligns with your team's coding standards by understanding the core structure of your code for context-driven insights.|Context-Aware Callstack.ai aligns itself with your team's standards of coding by understanding the core structures of your code to provide context-driven insights.} Customizable Reviews Callstack.ai can be tailored to meet your specific coding standards. {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.|Compatible with Major Programming Languages Currently, we support repositories in the following languages: ruby, go, rust, javascript, typescript. javascript.}

Baz provides context and automation for reviewing, tracking, and approving code changes with confidence. Baz transforms the code review and merge process by providing instant application insights and suggestions. This helps you focus on building strong software and shipping it. Baz organizes pull requests into Topics so that you can easily navigate through reviews. Baz analyzes how each piece fits together to uncover breaking changes in APIs, endpoints and parameters. Developers can review and comment on any part of the code they choose. We'll ensure it's fully accessible on both GitHub and Baz. Structured impact analysis is the only way to accurately predict the impact of a change in code. Baz integrates AI with your developer tools to analyse your codebase, map dependency and provide actionable reviews which ensure your code is stable. Invite your team to review your proposed changes. You can easily assign reviewers based upon their past contributions.

Embold's intuitive visuals and deep analysis will help you gain a deeper understanding of the software. Visually understand the size and quality each component to fully understand the state and functionality of your software. Rich annotations make it easy to understand issues at the component level and locate them in your code. Navigate through all dependencies and see how they affect each other. Our innovative partitioning algorithms make it easy to quickly understand how to refactor or split complex components. The EMBOLD SCORE is a measure of the impact of four dimensions on how many components are most important to the overall quality and should be resolved first. Our unique anti-patterns allow you to analyze the structural design of your code at the class, functional, or method levels. Embold uses a variety of metrics to assess the quality and reliability of software systems, including cyclomatic complexity and coupling between objects.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.

CodeSonar uses a unified dataflow with symbolic execution analysis to examine the entire application's computations. CodeSonar's static analyze engine is extremely deep and does not rely on pattern matching or similar approximations. It finds 3-5 times more defects than other static analysis tools. SAST tools are able to be easily integrated into any team's software development process, unlike many other tools such as testing tools and compilers. SAST technologies such as CodeSonar attach to existing build environments to add analysis information. CodeSonar works in the same way as a compiler. However, CodeSonar creates an abstraction model of your entire program, instead of creating object codes. CodeSonar's symbolic execution engine analyzes the derived model and makes connections between them.

It allows communities to come together, regardless of their choice in tools, by making it easy for them to share code, bug report, translations, and ideas between projects. Launchpad allows you to share bug reports, statuses and comments across projects. You can also share bug data with other trackers like Bugzilla or Trac. You can also find everything you need in a bug tracker, including web, email, and API interfaces, links between bugs, fixes, team-based delegation, and more. Once they are ready, they can upload the branch to Launchpad and submit it for merging into your trunk. Code review is available via web and email. This allows you to share your thoughts and approve or deny the merge. Launchpad makes it easy to translate. Translators have a simple web interface that offers suggestions from a library with more than 16,000,000 strings.

Our SaaS platform can be used in conjunction with your existing CI/CD pipeline. It allows you to create preview environments and run tests end-to-end. We create a new copy your stack in seconds after a developer pushes their code. We reuse snapshots from previous builds. You can run end to end tests in one copy of your stack. One copy of your stack can be used to build and push Docker images. Another copy would be used for ephemeral reviews. Once a change has been reviewed, it can be deployed to users immediately using your existing deployment process. Once you have created your stack within webapp.io you can instantly make 10 copies and run all your acceptance and end-of-end tests simultaneously.

gitStream allows you to configure rules that determine how each pull request will be treated based on its content. These rules automatically find and add context tags to pull requests, check for deprecation and find the right reviewer. This practice improves merge efficiency by classifying requests based on the size and complexity of changes. Automating the merge path according to the unique merge conditions makes work flow more efficiently. gitStream provides context to your PRs by adding labels and comments. This context helps your developers make the best decisions on how and when to work. Apply an auto-approve on pull requests that have simple changes, such as minor version updates to internal libraries. Automate change requests by org. Level coding practices such as moving away from deprecated service.

Artificial intelligence can simplify code reviews. Costs and productivity will increase. Receive suggestions for possible fixes to errors and warnings. Codara's CLI tool integrates seamlessly into your existing development environment. Use AI to detect issues, suggest optimizations and ensure that your code is clean and efficient. Setup in minutes, review within seconds. Instant feedback that you can act on as you code. Codara's AI will review your work in real time, helping you to catch errors before they escalate. Codara adapts itself to your needs, whether it's in terms of style, complexity or performance. Privacy is of paramount importance. Codara guarantees that your data is always confidential and secure. Codara is scalable to meet your needs and can be used for projects of any size.