Amazon CodeGuru Reviewer is an automated code review service that uses machine learning and AWS best practices to identify security vulnerabilities, bugs, and hard-to-detect issues in your Java and Python code. It provides intelligent recommendations to help improve code quality and find defects that may be difficult to detect through manual code reviews.
URL: Visit APIs.json
Run: Capabilities Using Naftiko
- Amazon, AWS, Code Review, Security, DevOps, Machine Learning, Developer Tools
- Created: 2026-03-16
- Modified: 2026-04-19
The Amazon CodeGuru Reviewer REST API.
Human URL: https://docs.aws.amazon.com/codeguru/latest/reviewer-api/Welcome.html
- Amazon, AWS, Code Review, Security, DevOps
- GettingStarted
- Pricing
- Console
- Portal
- Documentation
- TermsOfService
- PrivacyPolicy
- StatusPage
- Blog
- SignUp
- GitHubOrganization
| Name | Description |
|---|---|
| Automated Code Review | Automatically analyze code changes in pull requests and provide recommendations for bugs, security vulnerabilities, and |
| Security Analysis | Detect security vulnerabilities including OWASP Top 10, input validation issues, encryption problems, and AWS API securi |
| Java and Python Support | Analyze Java and Python code with language-specific recommendations based on AWS best practices. |
| Repository Association | Connect CodeGuru Reviewer to GitHub, GitHub Enterprise, Bitbucket, CodeCommit, and S3 repositories. |
| Pull Request Integration | Automatically trigger code reviews on new pull requests and post recommendations as inline comments. |
| Name | Description |
|---|---|
| Security Vulnerability Detection | Automatically detect security issues in code changes before they reach production, reducing security review burden on de |
| Automated Code Quality Enforcement | Enforce code quality standards across the organization with consistent, automated review feedback on every pull request. |
| Developer Productivity | Help developers identify and fix common coding errors and anti-patterns earlier in the development cycle. |
| Name | Description |
|---|---|
| GitHub | Associate GitHub repositories for automated code reviews on pull requests. |
| GitHub Enterprise | Connect self-hosted GitHub Enterprise repositories for automated code review. |
| Bitbucket | Integrate with Bitbucket repositories for pull request code reviews. |
| AWS CodeCommit | Analyze CodeCommit repositories and pull requests natively. |
| Amazon S3 | Associate S3 buckets for one-time code analysis. |
| Amazon CodeGuru Profiler | Combine code review recommendations with profiling insights for comprehensive code quality. |
Machine-readable API specifications organized by format.
122 JSON Schema files generated from the OpenAPI specification.
- amazon-codeguru-reviewer-analysis-type-schema
- amazon-codeguru-reviewer-analysis-types-schema
- amazon-codeguru-reviewer-arn-schema
- amazon-codeguru-reviewer-associate-repository-request-schema
- amazon-codeguru-reviewer-associate-repository-response-schema
- ...and 117 more in json-schema/
122 JSON Structure files in json-structure/.
122 example JSON files in examples/.
Naftiko capabilities organized as shared per-API definitions composed into customer-facing workflows.
- codegurureviewer — 14 operations
| Workflow | APIs Combined | Tools | Persona |
|---|---|---|---|
| Amazon CodeGuru Reviewer Automated Code Review | codegurureviewer | 8 | DevOps Engineer |
- amazon-codeguru-reviewer-vocabulary — Unified taxonomy mapping 6 resources, 5 actions, 1 workflows, and 3 personas
- amazon-codeguru-reviewer-spectral-rules — 10 rules enforcing Amazon CodeGuru Reviewer API conventions
FN: Kin Lane
Email: kin@apievangelist.com