# Summary
Programming instructors scramble to adapt their teaching as generative AI tools become embedded in student workflows. ChatGPT and similar systems have been publicly available for over three years, yet most computing educators still lack concrete strategies for integrating AI into coursework.
Students now access AI through everyday tools. Web browsers, word processors, and code editors all incorporate generative capabilities. This integration creates a paradox for instructors. They cannot simply ban AI use, as the technology is already woven into the platforms students depend on.
Researchers investigating how computing instructors respond found widespread uncertainty. Teachers grapple with fundamental questions about assessment, learning outcomes, and academic integrity. Some instructors modify assignments to emphasize problem-solving over code production. Others redesign courses to teach AI literacy alongside programming fundamentals.
The challenge extends beyond classroom policy. Instructors must decide what skills remain essential when AI generates functional code. Teaching students to prompt AI systems effectively, verify outputs, and understand underlying logic becomes as important as writing code from scratch.
This pedagogical crisis reveals a gap between technology adoption and educational readiness. Institutions have not kept pace with rapid AI advancement. Computing departments now face urgent pressure to redesign curricula before the next cohort of students arrives unprepared.