• An Machine Learning (ML)-powered service for automated code review & application peformance recommendation.

- It provides 2 functionalities:
    - CodeGuru Reviewer: Automated Code Review for static code analysis.
    - CodeGuru Profiler: Visiblity/recommendation about application peformance during runtime (production)

• Identify Critical Issues, Security Vulnerablities, & hard to find bugs. E.g. Common Coding Best Practices, Resource Leak, Security Detection, Input Validation.
• Use ML & Automated reasoning.
• Hard Lessons learned across millions of code review on 1000s of open source & Amazon Repositories.
• Supports Java & Python.
• Integrates with Github, Bitbucket, & AWS Code Commit.

• Help understand the runtime behaviour of your applications.
• Example: Identify if your application is consuming excessive CPU usage capacity on a logging routine.
• Feature:

    - Identify & Remove code efficiencies
    - Improve application peformance (reduce CPU utilization)
    - Decrease Compute Cost
    - Provide Heap Summary
    - Anamoly Detection

• Support Application running on AWS or on-premise.
• Minimal Overhead Application.