Ensure the quality and security of every line of AI generated code by instilling confidence using our code assurance workflow.
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AI Code Assurance in SonarQube Server and SonarQube Cloud empowers developers and organizations to confidently integrate AI into their coding. By enforcing high standards of quality and security, it guides developers through a thorough validation process, ensuring AI generated code is fully understood and verified before reaching production.
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."
