Guide

How to Protect AI-Generated Code Quality Using SonarQube AI Code Assurance

How to Protect AI-Generated Code Quality Using SonarQube AI Code Assurance

Pages 16 Pages

Sonar helps maintain the quality and security of AI-generated code by detecting inconsistencies, vulnerabilities, and complexity issues. It supports labeling projects with AI-generated code and enforces strict quality gates to prevent new bugs, ensure high test coverage, and minimize duplication. Continuous automated analysis integrates into DevOps workflows, identifying problems early. Sonar covers multiple programming languages and integrates with popular CI/CD platforms, assisting teams in managing risks associated with AI-assisted development while promoting cleaner, reliable code throughout the software lifecycle.

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