CodeGuru
UnclaimedOptimize application performance and reduce operational costs with ML-powered code analysis.
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TL;DR - CodeGuru
- Uses machine learning to identify and fix code quality issues and security vulnerabilities.
- Continuously monitors applications in production to optimize performance and reduce operational costs.
- Provides actionable recommendations for improving code efficiency and security in Java and Python.
Pricing: Free plan available
Best for: Growing teams
Pros & Cons
Pros
- Automates code reviews and profiling, saving developer time.
- Leverages machine learning for intelligent and actionable recommendations.
- Helps reduce operational costs by optimizing inefficient code.
- Enhances application security by detecting vulnerabilities and secrets.
- Provides continuous monitoring for proactive performance management.
Cons
- Primarily supports Java and Python, limiting use for other languages.
- Pricing can become complex with multiple repositories and large codebases.
- Requires integration with AWS ecosystem.
Key Features
ML-based code quality recommendationsSecurity vulnerability detection (OWASP Top 10, AWS API security)Secrets detection in code repositoriesContinuous application profiling in productionIdentification of most expensive lines of codeCPU and memory usage optimizationLatency and throughput improvementApplication heap visualization
Pricing
Freemium
CodeGuru offers a generous free tier with optional paid upgrades for advanced features.
About CodeGuru
By Toolradar Team·
Amazon CodeGuru is a developer tool that leverages machine learning to improve code quality and identify performance bottlenecks in applications. It consists of two main components: CodeGuru Reviewer and CodeGuru Profiler.
CodeGuru Reviewer automatically analyzes Java and Python code for common issues such as security vulnerabilities (including OWASP Top 10), resource leaks, concurrency problems, and deviations from AWS best practices. It integrates with popular code repositories like GitHub, Bitbucket, and AWS CodeCommit, providing recommendations directly within pull requests or through full repository scans. This helps development teams maintain high coding standards and enhance security.
CodeGuru Profiler continuously monitors applications in production to identify the most expensive lines of code that consume excessive CPU and memory. It provides ML-based insights and recommendations to optimize application performance, reduce latency, and improve throughput. By visualizing application heap and using flame graphs, developers can pinpoint resource-intensive code paths, troubleshoot performance issues, and ultimately reduce operational costs.
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CodeGuru FAQ
What is CodeGuru?
Amazon CodeGuru is a developer tool that uses machine learning to improve code quality and identify performance bottlenecks. It comprises CodeGuru Reviewer for automated code analysis and security checks, and CodeGuru Profiler for continuous application performance monitoring and optimization.
How much does CodeGuru cost?
CodeGuru has a freemium pricing model. CodeGuru Reviewer charges a monthly fixed rate based on the aggregated lines of code across onboarded repositories, with additional charges for full repository scans beyond two per month. CodeGuru Profiler's pricing is not detailed on this page but is part of the AWS Free Tier for 90 days.
Is CodeGuru free?
Yes, CodeGuru offers a Free Tier. You can use CodeGuru Reviewer for 90 days for up to 100K lines of code in onboarded repositories per AWS account. CodeGuru Profiler also offers 90 days free with the AWS Free Tier.
Who is CodeGuru for?
CodeGuru is designed for developers, development teams, and organizations using Java and Python applications, particularly those leveraging AWS services. It helps them improve code quality, enhance application security, optimize performance, and reduce operational costs.
Source: aws.amazon.com