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I agree. I do wonder if what I'm seeing is a limitation of the reasoning power of LLMs or if it's just replicating the patterns (or lack thereof) in the training data.


Indeed. On github I wonder what the proportion is between well engineered big systems versus throw away/student projects.

Even for the well engineered stuff I suspect there is a strong bias towards standalone projects versus larger multi-component systems.




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