With the caveat that while in some cases, like computational science, numerical analysis, machine learning algorithms, computer-assisted proofs, and so on, details of the code could be crucial, in other cases, they should not matter that much. I too have the impression that the HN public tends to over-value the importance of code in these cases when it is mostly a tool for evaluating a scientific result.