Trust your developers, verify your AI generated code

AI assistants like GitHub Copilot, Amazon Q, and Google Gemini boost developers' productivity but can introduce security vulnerabilities and poor-quality code. To ensure code quality and security, developers and organizations adopt a "trust and verify" approach to AI-generated code. By providing developers and organizations with the tools to confidently integrate AI into their SDLC, Sonar is helping accelerate innovation safely and responsibly.

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Sonar AI solution features

Instant code fixes

Instant code fixes automatically with a straightforward review process to ensure accuracy.

Scan AI code

Ensure AI-generated code is thoroughly scanned for quality and security issues.

Tag and track AI code

Tag AI-generated code projects with in-depth analysis for tracking bugs and quality issues.

Enforce quality gates

Enforce a quality gate for AI-generated code to ensure quality and security standards.

High quality, AI-assisted coding assured with Sonar

AI Code Assurance

Confidently integrate AI into your codebase by enforcing high standards of quality and security with a thorough validation process. AI Code Assurance enables organizations to set and enforce strict standards for AI-generated code, preventing new quality & security issues from getting into production.

AI CodeFix

Accelerate developer velocity and productivity by receiving suggestions on how to resolve a range of issues, streamlining the debugging process - with just one click. AI CodeFix suggests fixes right where the issues are discovered in the Sonar experience that millions of developers are already familiar with, automating the resolution of common coding problems and boosting developer productivity.

"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 and avoid typical errors."

Dario Flores, Technical Quality Specialist