Original Reddit post

I’ve noticed that when Claude writes about code, it slips into a style where it seems to constantly accrue new jargon. e.g. here’s some terrible documentation that Claude produced (emphasis mine) The list arrives straight from the GraphQL columns argument , which is [String!] with no server-side validation, and the caller also passes the synthetic aggregation categories (aggregations_min/max) that it derives from stored summary_metrics fields rather than reading here. Both are why this allowlists against the column Enum8 instead of rejecting known-bad names : an unrecognized value in a per-branch column = u /col_N is a hard UNKNOWN_ELEMENT_OF_ENUM (code 691) that fails the whole read , where the set membership it replaced just matched nothing. The bolded text is my attempt to highlight concepts that the text assumes the reader already understands and currently has in their head. Some of these are reasonable: basic comp-sci concepts like “the caller” (this is a function docstring; it’s pretty obvious which “caller” the comment refers to) “summary_metrics fields” – while opaque out of context, this is a really important business-logic construct in our app that any developer reviewing this code would be familiar with It seems like Claude has no natural sense of hierarchy or abstraction. Giving more detail and more context often makes documentation worse by distracting the reader from the core idea you’re trying to communicate, because every unrecognized concept is something that a thorough reader will feel the need to look up. Who knows: maybe I need to know what a hard UNKNOWN_ELEMENT_OF_ENUM (code 691) is to understand the purpose of this function. I can kind of imagine why it would end up this way, just from my layman’s understanding of how attention/transformers work – if you’re optimizing for output that other agents understand quickly, it probably helps to drop a bunch of “pointers” in the text that direct the attention of the model back toward a bunch of related concepts. It seems like frontier models’ working memory is just big enough that this is useful rather than distracting. Humans don’t have that much working memory, though. Or I don’t, at any rate. And the comments are ostensibly for both me and future agents to read, so it kind of sucks that they’re written only for the latter. Have any of you successfully gotten Claude to exercise some judgment about which concepts are important (or even load-bearing 🙄) and which ones are better left out? submitted by /u/ForSpareParts

Originally posted by u/ForSpareParts on r/ClaudeCode