Currently there is a lot of work on prompt engineering and how it improves the outcome of large language models. I have recently worked on a small project with preliminary results that show that some prompt techniques do not have a dramatic impact on code generation. Now, I want to investigate this in more details and see how the choice of the LLM and other factors can contribute to the impact.