- Backend Developers: Automatically review code and get recommendations for performance improvements.
- DevOps Engineers: Analyze live application performance and identify costly operations using CodeGuru Profiler.
- Enterprise Teams: Maintain high-quality, secure code across large projects and multiple repositories.
- Tech Leads & Architects: Use insights to enforce coding best practices and architectural consistency.
- Security-Conscious Developers: Detect security vulnerabilities and sensitive data leaks automatically during reviews.
How to Use Amazon CodeGuru?
- Set Up on AWS Console: Get started by setting up CodeGuru Reviewer and Profiler through your AWS account.
- Integrate with Repositories: Connect CodeGuru with GitHub, Bitbucket, or AWS CodeCommit for code analysis.
- Submit Code for Review: Automatically trigger reviews via pull requests or initiate them manually.
- Analyze Performance: Use CodeGuru Profiler to monitor live applications and identify performance issues.
- Apply Recommendations: Review the ML-driven suggestions and implement fixes to optimize quality and speed.
- ML-Powered Code Reviews: Identifies issues like hardcoded credentials, resource leaks, and concurrency bugs.
- Performance Profiling: Visualize application performance and pinpoint CPU and memory inefficiencies.
- Security Detection: Helps catch security issues before code reaches production.
- Scalable for Teams: Supports large-scale codebases and CI/CD pipelines with ease.
- Seamless AWS Integration: Works natively with AWS tools like Lambda, ECS, EC2, and CodeCommit.
- IDE and CLI Support: Submit code for review via IDE plugins or AWS CLI tools.
- Automated Code Reviews: Saves time by catching common bugs, anti-patterns, and security risks.
- Application Performance Insights: Helps identify the most expensive lines of code in real-world usage.
- Great for Large Teams: Easily integrates into CI/CD pipelines and scales for enterprise use.
- Security Focused: Highlights issues like hardcoded secrets and unsafe input validation.
- Limited Language Support: Primarily supports Java, Python, and a few others—not ideal for polyglot teams.
- AWS Account Required: Fully integrated with AWS, which may not suit non-AWS workflows.
- Pricing Can Add Up: Continuous profiling and large-scale code analysis may incur high costs over time.
Free Trial
$ 0.00
Up to 36,000 sampling hours/month per profiling group (Profiler)
Includes 500 free Lambda profiling hours per payer account
No credit card required
Immediate setup via AWS Console
CodeGuru Reviewer
$ 10.00
Usage-based pricing by largest scanned code branch
Includes unlimited incremental reviews and 2 full scans/month per repo
Additional full scans at $10 per 100K lines
Standard security features included
CodeGuru Profiler
$ 0.005/hour per sampling hour
$0.005 per sampling hour for EC2/ECS/EKS/Fargate instances
Lambda: First 500 sampling hours free each month; $0.005 per hour after
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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