Table of contents
1.
Introduction
2.
How CodeGuru Work?
3.
CodeGuru Components
3.1.
CodeGuru Reviewer
3.1.1.
Benefits of CodeGuru Reviewer
3.2.
CodeGuru Profiler
3.2.1.
Benefits of CodeGuru Profiler
4.
FAQs
4.1.
What is Amazon CodeGuru?
4.2.
What is Amazon CodeGuru Reviewer?
4.3.
What is Amazon CodeGuru Profiler?
5.
Conclusion
Last Updated: Mar 27, 2024
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Amazon CodeGuru

Author Rajat Agrawal
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Introduction

Amazon CodeGuru is a developer tool that provides intelligent code quality recommendations and identifies the most costly lines of code in an application. Reviewer and Profiler are the two major components of CodeGuru. In the pull requests, CodeGuru Reviewer discovers issues in the code and gives inline recommendations. The CodeGuru Profiler informs where the code contributes to resource over-utilization by the CPU.

Let’s learn about Amazon Code Guru in-depth.

How CodeGuru Work?

You can integrate CodeGuru Reviewer and Profiler into your application development pipeline to enhance code quality and performance.

The working of the CodeGuru is explained in the below diagram.

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CodeGuru Components

CodeGuru Reviewer and Profiler are the two major components of CodeGuru.

CodeGuru Reviewer

CodeGuru Reviewer uses machine learning and automated reasoning to uncover critical flaws, security issues, and hard-to-find errors during application development and make recommendations to improve code quality.

To begin reviewing code, go to the CodeGuru console and join your current code repositories on GitHub, GitHub Enterprise, Bitbucket, or AWS CodeCommit.

Benefits of CodeGuru Reviewer

1.) It can catch code problems before they hit production, evaluate existing code bases in the repository, accurately identify hard-to-find errors and important issues, make intelligent recommendations for fixing them, and establish a baseline for future code reviews.

2.) The CodeGuru Reviewer Security Detector improves the security of your code by using automated reasoning and AWS's years of security experience.

3.) It proactively improves code quality with continuous monitoring, evaluates incremental code changes, and makes recommendations on the pull request for every pull request initiated.

CodeGuru Profiler

CodeGuru Profiler assists developers in locating the most costly lines of code in their applications by assisting them in comprehending their apps' runtime characteristics, identifying and removing code inefficiencies, improving performance, and drastically lowering compute costs.

Any application operating on Amazon EC2, Amazon ECS, AWS Fargate, Amazon EKS, AWS Lambda, or on-premises can benefit from performance optimization.

Benefits of CodeGuru Profiler

1.) It can troubleshoot performance issues and examines your application's runtime data to assist you in optimizing CPU and memory consumption and troubleshooting performance issues, resulting in reduced latency and throughput.

2.) It discovers anomalies and common issues in the application performance and automatically detects anomalies in the performance of crucial methods in the application stack that start consuming more CPU or display increasing latency.

3.) It identifies the most expensive line of code. The less expensive it is to run your code and application, the more efficient it is. CodeGuru Profiler gives visualizations and recommendations on fixing performance issues for each application in production, allowing you to save up to 50% on operational costs.

FAQs

What is Amazon CodeGuru?

Amazon CodeGuru is a developer tool that provides intelligent code quality recommendations and identifies the most costly lines of code in an application.

What is Amazon CodeGuru Reviewer?

CodeGuru Reviewer uses machine learning and automated reasoning to uncover critical flaws, security issues, and hard-to-find errors during application development and make recommendations to improve code quality.

What is Amazon CodeGuru Profiler?

CodeGuru Profiler assists developers in locating the most costly lines of code in their applications by assisting them in comprehending their apps' runtime characteristics, identifying and removing code inefficiencies, improving performance, and drastically lowering compute costs.

Conclusion

In this article, we have extensively discussed Amazon CodeGuru, its working, and its components. If you want to learn more, check out our articles on Amazon WorkmailIAM Security StandardData Warehousing ToolsThe Data Governance ChallengeData Virtualization Use Cases, and Encapsulation.

Recommended Readings:

Check out the Amazon Interview Experience to learn about Amazon’s hiring process.

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Happy Coding!

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