Generative AI and AI agents are significantly accelerating software development. However, as more designs and code are generated at greater speed, new challenges emerge: how to continuously verify their quality and security, and how to prevent review and validation costs from becoming the next bottleneck.

In this session, we will introduce real-world examples of AI adoption in software development and explore how to maintain quality while taking full advantage of AI-driven development speed. We will also discuss the EU Cyber Resilience Act (CRA), continuous quality assurance across the SDLC with Trust Code Hub, and practical implementation using OmniReview and SonarQube.

The session will also cover Sonar's AC/DC (Agent Centric Development Cycle), Gitar, and Hunter Agent, highlighting new approaches to code verification that combine deterministic analysis with AI-powered reasoning.

Not just build faster, but prove correctness faster.
Discover a practical approach to balancing speed and quality in AI-driven software development.