Amazon CodeGuru

Amazon CodeGuru is a machine learning-based developer tool from AWS that provides automated code reviews and performance recommendations. It uses machine learning algorithms to analyze your code and offer intelligent suggestions to improve code quality and identify potential performance issues.

There are two main components of Amazon CodeGuru:

Amazon CodeGuru Reviewer: CodeGuru Reviewer is the code analysis component of Amazon CodeGuru. It performs automated code reviews on pull requests and identifies code quality issues, such as resource leaks, incorrect concurrency usage, and other best practices violations. CodeGuru Reviewer integrates with popular version control systems like GitHub and AWS CodeCommit, making it easy to incorporate code reviews into your existing development workflow.
Amazon CodeGuru Profiler: CodeGuru Profiler is the performance optimization component of Amazon CodeGuru. It analyzes the runtime behavior of your applications and provides detailed recommendations on how to optimize their performance. It helps identify performance bottlenecks, inefficient algorithms, and other issues that may impact the application's performance and scalability.

The machine learning models behind Amazon CodeGuru are trained on data from thousands of open-source projects and Amazon's internal code repositories, which allows it to provide accurate and context-aware recommendations.

Using Amazon CodeGuru can help development teams improve code quality, enhance application performance, and optimize the overall development process. By automating code reviews and performance analysis, developers can focus on building new features and delivering value to their customers while adhering to best practices and performance standards.

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