Prompt engineering has become essential to make optimal use of LLMs , also in code synthesis . An extensive overview of related work in prompt engineering is provided in the Supplementary Materials. Previous work does not offer a clear best method, which is why we explore various approaches. To optimally make use of GPT-3.5-turbo-0125, we implemented the six prompt engineering methodologies detailed below. Each follows a different approach to format an effective prompt. To make the results as comparable as possible, the corresponding system prompts all have a similar structure and utilize comparable instructions.