Amazon Code Guru
Bug tracking software
Software development analytics tools
DevOps software
AI software development agents
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- Ease of management
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What is Amazon Code Guru
Amazon CodeGuru is an AWS service that uses machine learning to analyze application code and runtime behavior to help teams improve code quality and application performance. It supports automated code reviews (CodeGuru Reviewer) and production profiling for Java applications (CodeGuru Profiler). It is primarily used by software engineering teams building on AWS who want continuous feedback in pull requests and performance insights from live workloads. The service integrates with common AWS developer tooling and selected source control workflows.
Automated code review feedback
CodeGuru Reviewer analyzes code changes and provides recommendations focused on common defects, security issues, and AWS API usage patterns. It can run as part of pull request workflows to surface findings before merge. This supports consistent review coverage when teams have limited reviewer bandwidth. Findings are delivered in a format that fits typical code review processes.
Production profiling for Java
CodeGuru Profiler collects runtime profiling data from Java applications and highlights expensive methods and code paths. It helps teams identify performance bottlenecks using data from real workloads rather than synthetic tests. This is useful for services where latency and compute cost are important operational metrics. The output supports prioritizing performance work based on observed impact.
Native AWS ecosystem integration
The service is designed to work within AWS accounts, IAM, and common AWS developer workflows. This can simplify access control, billing, and operational management for organizations already standardized on AWS. It also aligns with DevOps practices by enabling automated checks in CI/CD pipelines. For AWS-centric teams, this reduces the need to deploy and maintain separate analysis infrastructure.
AWS-centric deployment assumptions
CodeGuru is an AWS-managed service and fits best when code repositories, CI/CD, and workloads are already connected to AWS. Organizations with multi-cloud or on-prem-first constraints may find integration and governance less straightforward. Some teams may prefer tools that are cloud-agnostic or self-hostable for compliance reasons. This can limit adoption outside AWS-standard environments.
Language and scope limitations
CodeGuru Profiler focuses on Java applications, which limits its usefulness for teams primarily using other runtimes. Code analysis coverage and recommendation depth vary by language, framework, and coding patterns. Teams may still need complementary static analysis, security scanning, or observability tools to cover broader stacks. This reduces the likelihood that CodeGuru alone satisfies all quality and performance needs.
Not a full bug tracking system
While it can surface issues and recommendations, CodeGuru does not replace dedicated issue tracking and workflow management. Teams typically need to triage findings and create work items in separate systems. Reporting and cross-project analytics are oriented around code review and profiling outputs rather than end-to-end defect lifecycle management. This can add process overhead when compared with integrated tracking platforms.
Plan & Pricing
| Plan / Component | Price | Key features & notes |
|---|---|---|
| Amazon CodeGuru Reviewer — first 100K lines | $10 per month (per repository aggregated up to first 100K lines) | Monthly fixed rate. Includes all incremental code review analyses and up to two full repository scans per onboarded repository per month. 90-day free tier for up to 100K lines per AWS account. |
| Amazon CodeGuru Reviewer — additional 100K lines | $30 per additional 100K lines per month | Additional full repository scans beyond 2 per repo charged at $10 per 100K lines. Billing of additional blocks is by 100K-line increments (examples on site show rounding of additional 100K blocks). |
Amazon CodeGuru Profiler (usage-based) Pricing model: Pay-as-you-go Free tier / trial: 90-day free tier for Profiler; additionally, profiling on AWS Lambda is free for the first 500 sampling hours per payer account (ongoing). Standard pricing: $0.005 per sampling hour for the first 36,000 sampling hours per profiling group per month. No additional charge beyond 36,000 sampling hours per profiling group per month. Notes: One sampling hour = agent running on one instance/container for one hour. Pricing examples and caps are provided on the official page.
Seller details
Amazon Web Services, Inc.
Seattle, Washington, USA
2006
Subsidiary
https://aws.amazon.com/
https://x.com/awscloud
https://www.linkedin.com/company/amazon-web-services/
