hands-on lab

Automating Code Reviews with Amazon CodeGuru

Difficulty: Beginner

Duration: Up to 1 hour

Students: 1,949

Rating: 3.3/5

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Description

Warning: This lab simulates the use of Amazon CodeGuru due to the cost of CodeGuru Reviewer making it prohibitive for users to associate new repositories with CodeGuru.

Amazon CodeGuru is a machine-learning-powered solution for automating performance reviews and improving application performance. It does by acting both on your code repositories and actual applications, and it currently supports Java code.

When you submit a pull request to a CodeGuru-associated code repository, such as Amazon CodeCommit, CodeGuru will peruse the changes in the pull request and make recommendations based on its own analysis of millions of lines of external code, as comments on your file changes. Additionally, if you deploy CodeGuru as an agent in your application, over time it will make observations and recommendations to help you find and fix code issues such as performance leaks, wasted CPU cycles and more.

In this lab, you'll associate an Amazon CodeCommit repository with CodeGuru and create a pull request to be analyzed.

Note: AWS closed access to the AWS CodeCommit service to new customers on the 25th of July 2024. This AWS CodeCommit lab is functional and may be useful to students expecting to work with existing AWS CodeCommit repositories.