Code Quality, Security, and Culture in the AI Coding Era

AI coding assistants promise speed and efficiency—but they also raise new questions about quality, security, and the developer experience. This panel will explore how engineering leaders are adapting processes to ensure AI-generated code is reliable, secure, and compliant with organizational and regulatory standards. Panelists will discuss real-world challenges: preventing subtle bugs, avoiding hidden vulnerabilities, navigating licensing/IP issues, and rethinking code review practices in the AI era. The conversation will also cover the human side—how to maintain strong engineering culture, support junior developer learning, and build trust between humans and machines. Attendees will gain practical insights into balancing the productivity gains of AI-assisted coding with the long-term integrity, safety, and culture of software development.