The proliferation of artificial intelligence in software engineering clearly has consequences for how to think about ...

The proliferation of artificial intelligence in software engineering clearly has consequences for how to think about computing education. […] with GenAI, the production of code is no longer the bottleneck for students or professional engineers. Instead, the key challenges lie both before and after the production of code. […] We must adapt our education mechanisms to address new metacognitive skills that are needed in a world with GenAI; curiosity, independence of thought, reading critically, and evaluating quality are paramount. Computing Education When Writing Code Is No Longer the Challenge, by Ibrahim Albluwi, Dennis Bouvier, Claus Brabrand, Michelle Craig, Rodrigo Duran, Christopher Hundhausen, Colleen Lewis, Kevin Lin, Andrew Luxton-Reilly, Leo Porter, Karen Reid, David Smith, Claudia Szabo, Michel Wermelinger, Titus Winters, and Daniel Zingaro I think there are really valuable skills to be developed in and for this changed and changing environment. There is the potential of…