1. Answers
  2. Implementing AWS CodeGuru Reviewer security recommendations

How do I implement AWS CodeGuru Reviewer security recommendations with Pulumi?

In this guide, we will implement AWS CodeGuru Reviewer to provide security recommendations on your code repositories using Pulumi. AWS CodeGuru Reviewer uses machine learning to identify critical issues, security vulnerabilities, and hard-to-find bugs during application development.

We will create a repository association with AWS CodeGuru Reviewer, which will allow it to analyze a specified repository and provide recommendations.

import * as pulumi from "@pulumi/pulumi";
import * as aws from "@pulumi/aws";

// Define the CodeGuru Reviewer repository association
const codeGuruRepoAssociation = new aws.codegurureviewer.RepositoryAssociation("codeGuruRepoAssociation", {
    repository: {
        codecommit: {
            name: "your-repo-name", // Replace with your CodeCommit repository name
        },
    },
    tags: {
        Project: "CodeGuru",
        Environment: "Production",
    },
});

// Export the repository association ARN
export const repositoryAssociationArn = codeGuruRepoAssociation.arn;

Key Points

  • We use the aws.codegurureviewer.RepositoryAssociation resource to create an association between AWS CodeGuru Reviewer and a CodeCommit repository.
  • The repository property specifies the repository to be analyzed. In this case, it is a CodeCommit repository.
  • Tags are added to the repository association for better organization and management.

Summary

In this guide, we implemented AWS CodeGuru Reviewer to analyze a CodeCommit repository for security recommendations using Pulumi. The repository association allows CodeGuru Reviewer to provide insights and recommendations to improve the quality and security of your code.

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