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AI-generated code can introduce various quality issues, including technical debt and security vulnerabilities. This post emphasizes the need for a stricter quality gate and quality profile tailored for AI-generated code within SonarQube Cloud.
The recommended approach includes designing a custom quality gate that increases coverage requirements and limits code duplication. Additionally, establishing a custom quality profile will help maintain code readability and enforce stricter validation rules, ensuring that AI-generated outputs meet higher standards.
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