First-year computer science students often misuse large language models (LLMs) to produce code due to their limited knowledge, making learning difficult. This paper presents a tool for Python code generation based on LLMs, using structured teaching plans. This ensures that concepts and constraints are introduced appropriately, making LLMs a supportive rather than a detrimental resource in programming education.

Keywords

Large language models, code assistants, basic programming courses.