Project tagging
Developers easily identify and tag projects that contain AI-generated code. This simple step initiates the Sonar AI Code Assurance workflow, a thorough analysis and validation process that guides developers though the resolution of issues and unique challenges posed by AI-generated content.
Deep analysis
Once a project is tagged, Sonar’s in-depth code analysis identifies potential code bugs, security issues, and quality issues. Our code analysis engine scrutinizes the code, ensuring that it adheres to best practices and industry standards, uncovering deeply hidden issues other validation tools can’t find.
Enforced quality gate
Only code that meets our stringent quality standard is released after successfully passing our Gen-AI-ready quality gate. This rigorous process helps developers and teams build trust in AI-generated code, assuring companies that proper due diligence has been performed.
AI Code Assurance Badge
Projects that meet this exacting criteria are awarded a Quality Assurance Badge so long as they adhere to the AI Code Assurance standards. This badge assures stakeholders that the code has undergone strict validation through the AI Code Assurance workflow and is fully production-ready.
