CodeGuru

• An ML-powered service for automated code reviews and application performance recommendations

• Provides two functionalities

  • CodeGuru Reviewer: automated code reviews for static code analysis (development)

  • CodeGuru Profiler: visibility/recommendations about application performance during runtime (production)

Reviewer

  • Identify critical issues, security vulnerabilities, and hard-to-find bugs

  • Example: common coding best practices, resource leaks, security detection, input validation

  • Uses Machine Learning and automated reasoning

  • Hard-learned lessons across millions of code reviews on 1000s of open-source and Amazon repositories

  • Supports Java and Python

  • Integrates with GitHub, Bitbucket, and AWS CodeCommit

https://aws.amazon.com/codeguru/features/

Profiler

  • Helps understand the runtime behavior of your application

  • Example: identify if your application is consuming excessive CPU capacity on a logging routine

  • Features:

    • Identify and remove code inefficiencies

    • Improve application performance(e.g., reduce CPU utilization)

    • Decrease compute costs

    • Provides heap summary (identify which objects using up memory)

    • Anomaly Detection

  • Support applications running on AWS or on-premise

  • Minimal overhead on application

PreviousX-RayNextHealth Dashboard

Last updated