Best AI Code Review Tools for GitLab

Cody is a coding assistant AI that lives inside your editor. It can find, explain and write code. Cody combines Large Language Models (LLMs), Sourcegraph Search, and Sourcegraph Code Intelligence to provide answers and eliminate toil for human programmers. Cody is your programmer friend who has read all the open source code, all the StackOverflow questions, and all the private code of your organization. He will always be there to answer any questions or suggest solutions based on his prior knowledge. Enterprises love Cody because it provides choice for: Any scale - Cody works for developer teams of any size, from startups to the biggest companies in the world. Any code host - Every code host and repository, to give the most accurate context from the largest codebases. Any LLM - Sourcegraph’s interoperability allows Cody to work with what LLM and context sources are best for your organization.

Qodo, formerly Codium, analyzes your code to find bugs before you release. Qodo maps the behaviors of your code, identifies edge cases and tags anything suspicious. It then generates meaningful and clear unit tests that match the behavior of your code. You can see how your code behaves and how changes to your code affect the rest of the code. Code coverage is broken. Meaningful tests check functionality and give you the confidence to commit. Spend less time writing questionable tests and more time developing features that are useful to your users. Qodo analyzes your code, docstring and comments to suggest tests as you type. You only need to add them to your suite. Qodo focuses on code integrity. It generates tests that help you understand your code, find edge cases and suspicious behavior; and make your code more robust.

Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk is a developer security platform that automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams.

Never let onboarding, knowledge silos or context switching slow down your progress. Swimm allows you to create and edit documents that are linked with your code, autosynced, integrated into your workflow, and automatically edited by Swimm. Swimm's language-agnostic editor is paired with Smart Tokens, Snippet Studio, and is the foundation of modern documentation. Create media-rich documents that are compatible with the code. Swimm's Autosync algorithm helps keep your documentation in sync by refactoring and organizing. You don't need to worry about file names, function names or implementation changes. Swimm will keep up with your code. Swimm will monitor your documentation as your code changes and notify you if any of your changes have an impact on your documentation. You can access docs right next the code they reference. Keep your IDE open and continue your work flow. Clicking on a link will open your IDE in a new tab. This tab will contain the Markdown documentation.

Pull request reviews that are privacy-focused and contextual, with code suggestions for each line of code and an interactive chat that becomes smarter over time. The diff in the Pull Request is transformed into a summary that helps you understand the intention of the changes. Creates automated release note, which can be included in the release documentation. A detailed analysis of code changes, line-byline, provides precise and actionable recommendations ready to be committed. Ask the bot questions within your code lines. Provide more context and let it write the code. The more you interact with the bot, it will become smarter. Reduce cycle time by reducing the number of reviews and generating high-quality suggestions for code changes. Your data is kept confidential and used to fine-tune your reviews. The system refines the reviews based on your interactions.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

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.

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 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.

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.