Code Trust and Verification for the AI Era
The rapid adoption of AI-generated code has created a massive verification bottleneck. While AI tools exponentially increase development speed, they often introduce subtle vulnerabilities and architectural risks. In this session, we explore how to bridge this AI trust gap. Discover how the SonarQube platform—leveraging its own AI-powered code remediation, SonarQube Server, Cloud, and the new MCP Server—acts as an independent verification layer. Learn to operationalize AI Code Assurance, ensuring all code remains secure, reliable, and production-ready.
Andre Kolodochka
Andre Kolodochka is a Solutions Engineer at Sonar, where he helps engineering teams across the ANZ and APAC regions ship more secure software, bridging deep technical expertise with clear business outcomes for stakeholders ranging from startup founders to enterprise executives.
With more than 25 years of experience spanning software development, IT infrastructure, security governance, and technical presales, Andre brings a rare cross-functional perspective to the intersection of developer tooling and application security. Over his distinguished career, he has held impactful roles at leading technology organizations including GitHub, ServiceRocket, and Symantec, operating across Australia, Korea, and China.
Outside of his enterprise security work, Andre applies the same passion for precision, learning, and teaching to the skies as an accomplished glider pilot and flight instructor.