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I have found LLMs are a great tool for metaprogramming. I think the template error problem has been wanting for a sufficiently advanced compiler, and that's what I see LLMs as being. ChatGPT has been a great help in debugging programs I've written in C++ templates, both in generating the template code and trying to decipher errors generated, leading to suggestions for the template code rather than the expanded syntax.

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Yeah, totally. I find LLMs are very useful for doing stuff with the preprocessor, too. ChatGPT taught me how to use boost preprocessor (BOOST_PP_FOR_EACH_PRODUCT).

Still though, I want to see MyMapType::value_type in compiler errors rather than... Well, you know. It's going to contain the type of the key, the type of the value, the type of the allocator, just when all you want to really know is that it's a pair<key, value>, which I think most people know of as My map type::value_type.

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