- 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)
CodeGuru 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, CodeCommit, Bitbucket, and AWS CodeBuild
CodeGuru 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 pertormance (e.g., reduce CPU utilization)
- Decrease compute costs
- Provides heap summary Identity which objects using up memory)
- Anomaly Detection
- Support applications running on AWS or on-premise
- Minimal overhead on application