Amazon CodeGuru Reviewer
Amazon CodeGuru Reviewer is an automated code review service that uses machine learning and AWS best practices to identify security vulnerabilities, bugs, and hard-to-detect issues in your Java and Python code. It provides intelligent recommendations to help improve code quality and find defects that may be difficult to detect through manual code reviews.
APIs
Amazon CodeGuru Reviewer API
The Amazon CodeGuru Reviewer REST API.
Capabilities
Amazon CodeGuru Reviewer Automated Code Review
Unified workflow for DevOps teams to manage repository associations, trigger code reviews, retrieve recommendations, and track code quality metrics using Amazon CodeGuru Reviewer.
Run with NaftikoFeatures
Automatically analyze code changes in pull requests and provide recommendations for bugs, security vulnerabilities, and code quality issues.
Detect security vulnerabilities including OWASP Top 10, input validation issues, encryption problems, and AWS API security best practices.
Analyze Java and Python code with language-specific recommendations based on AWS best practices.
Connect CodeGuru Reviewer to GitHub, GitHub Enterprise, Bitbucket, CodeCommit, and S3 repositories.
Automatically trigger code reviews on new pull requests and post recommendations as inline comments.
Use Cases
Automatically detect security issues in code changes before they reach production, reducing security review burden on developers.
Enforce code quality standards across the organization with consistent, automated review feedback on every pull request.
Help developers identify and fix common coding errors and anti-patterns earlier in the development cycle.
Integrations
Associate GitHub repositories for automated code reviews on pull requests.
Connect self-hosted GitHub Enterprise repositories for automated code review.
Integrate with Bitbucket repositories for pull request code reviews.
Analyze CodeCommit repositories and pull requests natively.
Associate S3 buckets for one-time code analysis.
Combine code review recommendations with profiling insights for comprehensive code quality.