Amazon Web Services Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced the general availability of Amazon CodeGuru, a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Amazon CodeGuru Reviewer helps improve code quality by scanning for critical issues, identifying bugs, and recommending how to remediate them. Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code along with specific visualizations and recommendations on how to improve code to save money. Amazon CodeGuru can be enabled with a few clicks in the AWS console, customers only pay for their actual use of Amazon CodeGuru, and it’s easy and affordable enough to run on every code review and application in an organization. To get started with Amazon CodeGuru, visit http://aws.amazon.com/codeguru

Just like Amazon.com, AWS customers write a lot of code. Software development is a well understood process. Developers write code, review it, compile the code and deploy the application, measure the performance of the application, and use that data to improve the code. Then, they rinse and repeat. Yet, all of this process doesn’t matter if the code is incorrect to begin with, which is why teams perform code reviews to check the logic, syntax, and style before new code is added to an existing application code base. Even for a large organization like Amazon, it’s challenging to have enough experienced developers with enough free time to do code reviews, given the amount of code that gets written every day. And even the most experienced reviewers miss problems before they impact customer-facing applications, resulting in bugs and performance issues. Even after an application is up and running, developers still need to monitor performance to make sure it is running efficiently. Typically, developers monitor application performance through logging, which allows them to observe how much time an application takes to complete a task. However, logging is cumbersome to implement (requiring developers to instrument every function in the application), negatively impacts application performance, and doesn’t measure other metrics like CPU utilization that contribute to compute costs, leaving developers without a tool to effectively identify cost-saving opportunities for applications in production. Organizations often incur unnecessarily higher costs (sometimes upwards of tens of millions of dollars) for running applications that are in need of further optimizations because these applications consume more CPU and infrastructure than they should.

Amazon CodeGuru is a new developer service that uses machine learning to automate both code reviews during application development and profiling of applications in production. Amazon CodeGuru has two components:

  • Code Reviewer
  • Application Profiler
Even for a large organization like Amazon, it’s challenging to have enough experienced developers with enough free time to do code reviews, given the amount of code that gets written every day,
the company notes in today’s announcement.

And even the most experienced reviewers miss problems before they impact customer-facing applications, resulting in bugs and performance issues.

For Developer Community, this article would be a good read to get hands-on with CodeGuru.

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