# 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
### 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
