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I decided to experiment with Claude Code this month. The other day it decided the best way to fix the spec was to add a conditional to the test that causes it to return true before getting to the thing that was actually supposed to be tested.

I’m finding it useful for really tedious stuff like doing complex, multi step terminal operations. For the coding… it’s not been great.

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I’ve had this in different ways many times. Like instead of resolving the underlying issue for an exception, it just suggests catching the exception and keep going

It also depends a lot on the mix of model and type of code and libraries involved. Even in different days the models seem to be more or less capable (I’m assuming they get throttled internally - this is very noticeable sometimes in how they try to save on output tokens and summarize the code responses as much as possible, at least in the chat/non-api interfaces)

Well, that’s proof that it used my GitHub projects in its training data.

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