How should software engineering education adapt when LLMs can generate code in seconds? Prof. Alexander Serebrenik and Dr. Lina Ochoa of TU Eindhoven join Iman Mossavat, host of Deep Dives with Iman, to examine how large language models are reshaping software engineering and education. We cover: how models optimise for user satisfaction and why verification remains essential; the shifting skillset for engineers (from rote coding to oversight, orchestration, and prompt decomposition); real quality risks such as hallucinations and increased technical debt when generated code is used without enough scrutiny; and the structural effects as model providers gain influence. Practical conclusions: keep humans in the loop, teach verification and system thinking, and redesign assessments to preserve core understanding. Listen for a measured discussion relevant to educators, engineers, and policy makers.

Artificial Intelligence on Radio4Brainport.org