> This is very different from Python, where training data is polluted (I presume) with tons of code written by non-software engineers and demonstrating many different ways of doing the same thing.
Counter-example: agents with Django-related stuff. Excellent output.
LLMs seem to fall apart where human written projects of the same nature had no particular way about them. It is especially apparent when treading into waters where beginners are found. Like the earlier comment suggests, this is presumably because the LLMs struggle to find any kind of pattern to latch onto. Django offers a pattern, but one not shared by rest of the Python ecosystem. Whereas virtually all Go codebases look the same.