Best AI Code Review Tools for Enterprise

AI can be a powerful tool in the coding process. CodeMind provides insightful suggestions to elevate your code. Use different features in your version control. Get your code reviewed to find bugs and get ideas for how to improve it. To help reviewers better understand your code, you can provide a summary of merge request. Ask for an explanation if you find the code complex. Explain application code and infrastructure code. Managing code reviews is a difficult task. Manually reviewing every line of code can be time-consuming, lead to human errors, and miss out on optimization opportunities. We are here to change this process. Our tool speeds up the review process and frees you up to focus on what really matters: writing great code. Our AI-driven code review tool provides in-depth analysis of code, identifying potential problems that are often missed by manual reviews.

Summary pull request changes in a concise manner to help the team understand their impact. Code quality issues and antipatterns are detected and automatically fixed for 30+ languages. Scan each code change to detect OWASP, NIST, SANS and CWE vulnerabilities and fix them. Scan each PR against more than 10,000 policies to detect and understand infrastructure as code issues. Protects sensitive data in your codebase including API keys, tokens and other secrets. Identify and understand the impact of potential issues in data structures and code logic. Get instant visibility into the health of your code and infrastructure with a Code Health dashboard. Identify issues of high severity, understand their impact and fix them. Receive weekly executive reports about new issues, fixes, and resolutions pending. Your pair programmer will help you to find and automatically fix over 5000+ security vulnerabilities and code quality issues without leaving your IDE.

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.

AI-generated summaries, real-time chat and code review can help you improve your code and find bugs faster. AI summaries provide instant context for every pull request. This helps your team save time during code reviews. Instant feedback on each pull request will help you improve code quality and speed up delivery. Use GitHub comments to chat with AI and uncover issues in your code. Set up rules and filters in your code review assistant to get the best results. GitChat can turbocharge your code reviews. Ship faster and improve code quality.

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.

A framework designed specifically to address the challenges of autonomous intelligence. Continue writing software using your language, libraries, APIs and data models. Your own autonomous product that scales and adapts to your development. Automated AI can automate the video creation process by generating, optimizing, and editing content. This reduces manual tasks significantly. Your autonomous system can produce high quality video content by integrating with AI tools such as Luma AI or OpenAI to generate video and scaling text-to speech on Azure. By integrating platforms like YouTube, your autonomous AI can continually improve based upon feedback and engagement metrics. We believe that the best path to AGI lies in orchestrating millions of autonomous systems. We are a small team of passionate researchers and engineers dedicated to building autonomous artificial intelligent. We would love to hear from anyone who finds this interesting.

AI can help you develop more secure software and deliver it faster throughout the entire software life cycle. GitLab Duo, an AI-powered assistant built into the GitLab platform is designed to improve software development productivity and collaboration. It offers intelligent code suggestions, assists in refactoring and debugging code, and streamlines work flows by automating repetitive tasks. GitLab Duo supports natural language queries to provide project management and development insight, allowing developers to interact more intuitively with their repositories. GitLab Duo is integrated with popular IDEs such as JetBrains, Neovim and other popular IDEs. This ensures seamless support within developers' preferred environments. GitLab Duo combines AI-driven efficiency and GitLab's robust DevSecOps capabilities to empower teams to deliver high quality software faster and more collaborately.

The most capable AI-powered assistant in software development. Amazon Q agents are able to perform a wide range of tasks autonomously, including implementing features, documenting and testing code, reviewing it, refactoring it, and performing software upgrades. Amazon Q Developer simplifies the entire development lifecycle. Amazon Q Developer is a cloud expert and is available in the console. It can help optimize costs and resources on AWS, provide guidance on best practices for architecture, investigate operational incidents and diagnose and fix networking issues. Amazon Q Developer agents speed up large-scale enterprise workload changes, including.NET migration from Windows to Linux and mainframe application modernization. They also migrate VMware workloads and modernize them, and upgrade Java to reduce 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.

Patched is a managed services that leverages the open source framework Patchwork to automate tasks such as code review, bug fixing, security patches, and documentation. Patched uses large language models to enable developers to build and deploy AI assisted workflows, also known as "patch flow", that handle post-code tasks autonomously, thereby improving code quality and speeding up development cycles. The platform has a graphical user interface and a visual builder that allows for customization of patch flow without the need to manage LLM endpoints or infrastructure. Patchwork offers a self hosted command-line interface that integrates seamlessly into existing development pipelines. Patched places a high priority on privacy and control. It allows deployment within an organisation's infrastructure by using its own LLM-API keys.

Automating pull request summaries can save you valuable developer time. In seconds, you can open a pull request to get a summary about the changes. You can instantly understand the implications of small pull request and get a head start on larger ones. Code reviews take a lot of time. There is often back-and-forth between the author and the reviewer. This is often about minor changes that could easily be automated. Simply comment on the code lines that need to be refactored using /wtd, and then describe the changes you want. With a single click, What The Diff will suggest the changes to your pull request. What The Diff analyzes your pull requests and provides a summary in plain English for you and your team. What The Diff is able to handle almost all programming languages and has been trained with a large data set of code. Try the GitHub app free of charge on one of your repositories.

Spend less time on minor requests and bug fixes with Gitya. Your AI-powered GitHub Assistant. Uses advanced AI to automate and manage minor tasks. Automated reviews and responses streamline pull request processes. Label a ticket using Gitya and let our AI handle minor task quickly.

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.

Save time by using natural-language search and navigation to navigate your project's codebase. AI can improve debugging efficiency by understanding your application's architecture and quickly identifying and pinpointing any bugs. You can now easily understand code features, processes and relationships with clear, concise explanations. AI agents allow you to customize how you interact with your codebase. You can customize the size of your queries, set accuracy thresholds, and select AI models. This personalization improves communication efficiency and accuracy. GitLoop becomes a tailored assistant to meet the unique needs of each user. Context-Aware AI answers in GitLoop improves AI responses by tailoring them to your repository. This functionality ensures every answer is relevant to your project and adapted for its unique context.

Augment brings your team's collective expertise--codebases, documentation, and dependencies --to your fingertips through chat, code completions and suggested edits. Augment helps you to stay on track, get more done and remain in the flow. Augment is lightning fast and highly secured. It works in your favorite IDEs, and Slack. Suggestions reflect APIs and coding pattern in your company's software so that your team can use them on your actual work. Fast inference, 3x faster than competitors, built on the latest techniques, including custom GPU Kernels, keeps developers in flow. Our custom AI models tuned to code avoid hallucinations, and improve code quality as well as productivity. Improve the use of internal best practice from your senior engineers. Codebase awareness is important for daily tasks, new developer training, code review and more. Our architecture is designed for tenant isolation and built to protect your IP. It's already SOC-2 Type 1 certified and pen-test verified.

Assign tickets and get high-quality code produced by our global developer community and AI agents. Increase your capacity without increasing engineering headcount. Assign GitStart to any items that you cannot ship. We believe that coding can transform lives, and we're on a mission of growing the future software talent in the world. Select which parts of the repo GitStart may access using our secure git sharing tool. Share only the files you want to share and keep your configuration file locked up. Assign sprint-sized ticket and our LLM Assistant will help you translate your requirements into a fully formed ticket. GitStart only pushes PRs after they have passed internal code and quality assurance checks. You review your repo's work, request any changes necessary, and merge. Once we understand the scope of work and before we begin any work, you can approve or refuse each PR cost estimate.

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.

Assembly helps you start each day with clarity by bringing your entire development context in focus. It is designed to revolutionize the software development process by integrating understanding and planning, coding, review, and documentation in a cohesive system. Factory, which serves as a command center for software development teams, offers personalized dashboards to highlight relevant tasks, streamline workflows and ensure clarity and efficiency at the start of every day. The platform allows for collaborative design and planning. Teams can easily create architectures, draft requirements and outline technical roadmaps. The codebase Q&A feature simplifies complex systems by capturing context, capturing decisions and accelerating onboarding. Factory's AI code review system digs deep into codebases to identify subtle issues and assist in implementing feedback.

Factory is a platform that uses AI to automate and optimize various engineering processes. It accelerates the software development lifecycle. It provides a unified workspace which integrates code and documentation, tickets and discussions. This reduces context switching and enhances team collaboration. It combines all development artifacts in a single intelligent workspace to provide comprehensive visibility and control of engineering projects. Transforms complex tasks to repeatable processes that enable teams to solve engineering challenges efficiently and consistently. Guided workflows are provided for seamless integration of premier development tools to facilitate rapid setup and deployment. Factory's platform was designed to support large enterprise, with features such as dedicated compute resources, customized integrations tailored to organizational processes, and premium account management.

Digma integrates with your IDE and uses runtime information to highlight issues, regressions and problems as you code. Identify issues in development by seeing how a function scales up or down in CI and production. Digma helps you to accelerate code changes and avoid regressions by analyzing the code's performance. Digma also provides critical analytics about usage, errors and performance baselines. Understand what's causing your code to slow down and bottleneck. You can fix problems quickly with valuable data, such as code execution time, scaling limitations, or N+1 query issues. When your team integrates Digma in your GitOps cycles, Pull Request feedback and annotation of code becomes much easier. Digma allows you to understand it and begin working on it without fear - no matter what size or complexity it is.

DryRun Security is based on our experience in training over 10,000 developers and security professionals to test applications for security and build security products at GitHub. Our experience has shown that all current tools lack a critical feature: security context for developers. Every day, developers make code modifications. They need a tool that gives them security context so they can move faster and be safer. Security code reviews are often too late and slow down the development process. Developers need to know the security context as soon as a pull request opens, so that they can understand the impact of code changes. Most security testing was generic, frustrating developers with repeated alerts and inaccurate results.

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.

Engineers can save time by focusing on what they do well, which is creating products. You can create your own patterns and describe how you want to look while reviewing. Trag will do this for you before you get started. Create rules for the use cases of your team. You can create as many rules as you like, and as thoroughly as you wish. Our AI can recover all rules that fail. We never commit directly. You will get PR when the fix is applied. Connect multiple repositories. Multiple repositories are at your fingertips. Invite and collaborate with teammates. Trag will automatically review any PRs that have patterns. Monitor pull request analytics to make better decisions. You can create your own patterns by using natural language. Trag will automatically match the rules with the changes in the PR and fix them. We never commit directly to the code, but only through PRs. We don't use any of your code.