Programmers Aren't Obsolete Yet: A Syllabus for Teaching CS Students to Responsibly Use Large Language Models for Code Generation
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Abstract (arXiv)
Large Language Models (LLMs) have emerged as powerful tools for automating code generation, offering immense potential to enhance programmer productivity. However, their non-deterministic nature and reliance on user input necessitate a robust understanding of programming fundamentals to ensure their responsible and effective use. In this paper, we argue that foundational computing skills remain crucial in the age of LLMs. We propose a syllabus focused on equipping computer science students to responsibly embrace LLMs as performance enhancement tools. This work contributes to the discussion on the why, when, and how of integrating LLMs into computing education, aiming to better prepare programmers to leverage these tools without compromising foundational software development principles.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 21 Feb 2025.
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