Amazon Web Service (AWS) has released to the general public “CodeGuru”, a set of tools that use machine learning (ML) to auto review code for bugs & optimize apps.
CodeGuru consists of two tools, Reviewer & Profiler. AWS has called it a “powerful” tool powered by machine learning that provides intelligent recommendations for improving code quality & identifying an application’s most expensive lines of code.
So what happens when you integrate Amazon CodeGuru into your existing software development workflow? It will automatically help detect & optimize the expensive lines of code to reduce costs.
Amazon CodeGuru Profiler will help developers find an application’s most expensive lines of code along with specific visualizations & recommendations on how to improve code to save money. Obviously, the more efficient the code & application is, the less costly it is to run.
Developers can also use Amazon CodeGuru Profiler to find potential savings for any application running in production. Amazon CodeGuru Profiler provides visualizations & recommendations on how to fix performance issues & the estimated cost of running inefficient code, helping developers prioritize remediation.
Optimize performance for any application running on AWS Lambda, Amazon EC2, Amazon ECS, AWS Fargate, or AWS Elastic Beanstalk, & on-premise.
