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I don't think you're quite right about this, as I've noticed (at least in Cursor) that appropriate context tends to be pulled in automatically.

What I do notice is that the AI systems seem to forget to pull in a lot of context as the project size grows. It's almost as if there's something of a limit to the amount of input data, either to manage costs or compute cycles or something like that.

When I start "vibecoding" it goes really well in the beginning but then when the project grows in complexity, asking it to do something relatively simple falls apart as the AI "forgets" to do that really simple thing in every applicable place (e.g., removing a feature that is no longer needed).






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