Amazon CodeGuru
ML-powered code review and application performance optimization for AWS
What it does well
- Detects subtle bugs and security vulnerabilities using ML trained on millions of code samples
- Real-time application performance profiling identifies optimization opportunities
- Seamless GitHub, Bitbucket, and AWS CodeCommit integration
- Reduces manual code review burden and accelerates development cycles
Where it falls short
- Language support limited to Java and Python
- Requires AWS environment; limited value outside AWS ecosystems
- Pricing model can become expensive for large codebases or high profiler usage
Core Features
| Automated Code Reviews | Yes |
| AWS Lambda Performance Analysis | Yes |
| Supported Languages | 15+ |
AI Capabilities
| ML-Powered Code Recommendations | Yes |
| Identifies Resource Leaks | Yes |
Analytics
| Performance Profiler | Yes |
| Real-time Code Quality Insights | Yes |
Security
| Detects Security Vulnerabilities | Yes |
Integrations
| GitHub Integration | Yes |
| GitLab Integration | Yes |
| Bitbucket Integration | Yes |
| AWS CodeCommit Integration | Yes |
Support
| Free Tier Available | Yes |
Collaboration
| Pull Request Comments | Yes |
Free
Free
- Code reviews with ML-powered recommendations
- Up to 100 code reviews per month
- Basic security and quality insights
- Integration with GitHub, GitHub Enterprise, Bitbucket, and AWS CodeCommit
Reviewer
$0.3/mo
- Everything in Free
- Unlimited code reviews
- Advanced code quality recommendations
- Security issue detection
- AWS best practices recommendations
Profiler
$0.3/mo
- Application performance profiling
- Real-time performance metrics
- Anomaly detection
- Latency optimization recommendations
- Pay-per-use pricing (per profiling hour)
Comparisons with Amazon CodeGuru
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