Ready to eliminate risks and take ownership of your AI-generated code? Take a tour of Sonar AI Code Assurance, our robust and streamlined process for validating AI-generated code and allowing you to confidently integrate AI into your projects.
Research has shown that AI-generated code often undergoes less scrutiny than code we write ourselves, leading to an accountability crisis in software development. To solve this, companies must rethink their code review processes to ensure thorough evaluation. Sonar AI Code Assurance helps by enforcing a strict quality gate and applying comprehensive analysis to ensure thorough reviews and early detection of issues in AI-generated code.
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.
Empowers developers to take ownership of all code, ensuring that every piece of AI-generated content is thoroughly analyzed and reviewed.
Teams can easily identify and track the status of projects containing AI-generated code, providing comprehensive visibility of its quality and security.
Integrates natively within existing workflows, ensuring that developers can continue to work efficiently without added overhead.
Helps the organization eliminate risk and develop confidence in AI, ultimately driving wider and safer adoption of the technology.
"Sonar helps our development team confidently make both AI-assisted and human-developed code fit for production by reviewing and establishing rules of good programming practices to achieve better code."
Dario Flores, Technical Quality Specialist
Dario Flores, Technical Quality Specialist
"Sonar helps our development team confidently make both AI-assisted and human-developed code fit for production by reviewing and establishing rules of good programming practices to achieve better code."
