Software development is undergoing a fundamental shift. AI can write code, debug, and optimize — but it can't architect systems, make trade-offs, or understand business context. This panel examines what it means to be a software professional when code generation becomes commoditized.
Drawing on emerging research and real organizational experience, panelists will discuss: What separates programming from engineering in an AI-native world? What competencies matter when AI handles syntax? How are "AI-native" developers performing compared to traditionally trained engineers — and what are we learning from that gap? And critically: what should we be teaching, hiring for, and investing in as the profession evolves?
A rigorous conversation for technology leaders, educators, and practitioners navigating the transition from writing code to engineering systems.
- Artificial Intelligence
- New Technology
