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