What is Amazon CodeGuru?
Amazon CodeGuru is an ML-powered developer tools service that provides automated code reviews and performance profiling. The service consists of two components: CodeGuru Reviewer for static code analysis with ML and CodeGuru Profiler for identifying runtime performance issues.
The ML models behind CodeGuru were trained on millions of code reviews and thousands of open source projects. The service detects subtle bugs, security vulnerabilities, and performance anti-patterns that are frequently missed in manual code reviews.
Core Features
- CodeGuru Reviewer: Automatic code review with ML-based recommendations for bugs and best practices
- CodeGuru Profiler: Runtime profiling to identify expensive code lines and CPU hotspots
- Security Detector: Detection of security vulnerabilities like SQL injection, cross-site scripting, and hardcoded credentials
- CI/CD Integration: Seamless integration into pull request workflows with GitHub, Bitbucket, and CodeCommit
- Cost Optimization: Identification of inefficient code consuming unnecessary compute resources
Typical Use Cases
Automated Pull Request Reviews: CodeGuru Reviewer analyzes every pull request automatically and comments on problematic code lines directly in the repository. Development teams receive ML-based improvement suggestions without waiting for manual reviews.
Production Performance Optimization: CodeGuru Profiler monitors applications in production and identifies the most expensive code lines. Teams see exactly which methods consume the most CPU time and memory.
Security Audits: The Security Detector systematically scans repositories for security vulnerabilities and creates prioritized lists with concrete remediation suggestions.
Advantages
- ML-based instead of rule-based: Detects context-aware issues
- Trained on millions of real code reviews
- Integrates directly into existing CI/CD pipelines
- Reduces costs through performance optimization
Integration with innFactory
As an AWS Reseller, innFactory supports you with Amazon CodeGuru: setup in CI/CD pipelines, interpretation of profiling results, and systematic remediation of identified issues.
Typical Use Cases
Frequently Asked Questions
What is Amazon CodeGuru?
Amazon CodeGuru is an ML-powered service with two components: CodeGuru Reviewer automatically analyzes source code for bugs, security vulnerabilities, and best practice violations. CodeGuru Profiler identifies performance bottlenecks in running applications.
Which programming languages does CodeGuru support?
CodeGuru Reviewer supports Java and Python for code reviews. CodeGuru Profiler supports JVM-based languages (Java, Kotlin, Scala) and Python. The models were trained on millions of open source and Amazon internal code repositories.
How does CodeGuru differ from static code analysis?
Unlike rule-based tools, CodeGuru uses machine learning trained on millions of code reviews. This allows the service to detect context-aware issues like race conditions, resource leaks, and inefficient algorithms that static analysis misses.