Group 1 - The core viewpoint emphasizes that computer science education extends beyond programming, incorporating essential theoretical concepts such as big O notation, complexity theory, and random algorithms, which are crucial for developing system thinking [1] - The future of technology may see engineers transitioning from writing code to operating machines that generate code automatically, shifting their focus to problem-solving and product development [1] - The importance of foundational knowledge in computer science is echoed by industry leaders, highlighting the need for a transformation in computer science education to adapt to the evolving technological landscape [3] Group 2 - AI-assisted programming tools are already changing the development process, with significant portions of new code being generated by AI, indicating a shift in how programming is approached [3] - The urgency for a transformation in computer science education is underscored by the rapid advancements in AI technology, reinforcing the necessity of cultivating system thinking and mastering foundational theoretical knowledge for future engineers [3]