Amazon CodeGuru

Automate code reviews. Identify your most expensive lines of code

In addition, you can use to build your modern application in the AWS Cloud.

Amazon CodeGuru

After all, it is a machine learning service for automated code reviews and application performance recommendations. In addition, it helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting. Therefore, it gives you specific recommendations to fix or improve your code

Amazon CodeGuru is powered by machine learning

Furthermore, CodeGuru uses AWS best practices, and hard-learned lessons across millions of code reviews. In addition, with thousands of applications profiled on open source projects. Furthermore, with CodeGuru, you can find and fix code issues such as resource leaks, potential concurrency race conditions, and wasted CPU cycles.

Thus, with low, on-demand pricing, it is inexpensive enough to use for every code review and application you run. For example, CodeGuru supports Java applications today, with support for more languages coming soon. CodeGuru helps you catch problems faster and earlier, so you can build and run better software

Basically, CodeGuru’s machine learning models are trained on Amazon’s code bases. Basically, comprising hundreds of thousands of internal projects, as well as over 10,000 open source projects in GitHub.

In addition, tens of thousands of Amazon developers have contributed to CodeGuru’s training. Therefore, it is based on decades of experience in code review and application profiling.

During training to detect deviation from best practices. Basically, it mines Amazon code bases for pull requests that include AWS API calls. For example, it looks at code changes and cross-references them against documentation data, which it also mines in parallel. Thus, this creates new models for best practices that Reviewer uses when it reviews your code to provide recommendations.

Most developers like the idea of automated code review and even small amounts of time saved or bugs averted are of considerable value. Therefore, modern editors like Eclipse Neon or Visual Studio Code already provide coding assistance with common errors, auto completion and auto formatting. Thus, if you try coding in Notepad without this kind of help you soon discover how useful it is.

For Amazon CodeGuru, simply sign in into AWS. Then, go to the CodeGuru dashboard, and “associate” a GitHub repository.

The Reviewer

Fast and reliable code issue detection

The Profiler

Understand the runtime behavior of applications

CodeGuru Profiler analyzes application CPU utilization and latency characteristics to show you where you are spending the most cycles in your application. This analysis is presented in an interactive flame graph that helps you easily understand which paths consume the most resources, verify that your application is performing as expected, and uncover areas that can be optimized further.

Moreover, learn more about our AWS Certification courses and DevOps Engineer E-Degree program