How AI code review in Azure DevOps works

Sara Verdi
Sara Verdi
Graphite software engineer

AI code review systems within Azure DevOps leverage machine learning algorithms to analyze pull requests for potential issues, improving the quality and consistency of code without heavy manual oversight. Here's a closer look at how these systems work, with a specific focus on OpenAI code review Azure DevOps integrations, Azure OpenAI pull request review, Azure DevOps AI extensions, and the Azure code review VS Code AI tool.

Azure DevOps, Microsoft's suite for DevOps services, supports integration with various AI tools to automate and improve the code review process. AI code review tools can scan through code submissions and identify potential issues ranging from syntax errors to more complex bugs like security vulnerabilities or logic errors.

Within Azure DevOps, OpenAI provides capabilities to analyze and review code submissions in pull requests. This AI tool can evaluate code quality, suggest improvements, and detect anomalies that might affect the functionality or security of the application.

For pull requests, the OpenAI extension can automatically provide feedback directly within the Azure DevOps environment. This is particularly helpful in large projects where manual review of every single line of code becomes impractical. For example, when a developer submits a pull request, the AI reviews the code and comments on improvements or errors directly in the pull request thread.

Integrating AI into the Visual Studio Code environment used with Azure DevOps streamlines the review process right in the IDE. This means developers get immediate feedback as they write code, which helps catch errors early and speeds up the development cycle. This integration allows for real-time code analysis and suggestions, enhancing developer productivity.

While Graphite Reviewer does not directly integrate with VS Code, Graphite offers a VS Code extension. Pull requests made through this extension are automatically reviewed by Graphite Reviewer, providing immediate, actionable feedback.

Graphite Reviewer stands out by offering immediate, actionable feedback on every pull request without the need for setup or configuration. It provides customized feedback by understanding your codebase through its codebase-aware AI system, which includes features like regex matching for enforcing security standards and personalized AI review prompts for maintaining coding standards. This is ideal for teams looking to maintain high standards of code quality and security.

Graphite Reviewer also includes features such as:

  • Zero setup: Immediate feedback on new pull requests without managing complex config files.
  • Custom rules: Define and enforce custom patterns specific to your codebase.
  • Privacy and security: Does not store or train on your team's code, ensuring your data remains secure.

By integrating AI tools like OpenAI into Azure DevOps, and leveraging Graphite Reviewer alongside VS Code, teams can significantly enhance their code quality and consistency while reducing the manual burden of code reviews.

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