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This is typically the outcome, when you have it look at a generic problem and fix it, especially if the problem depends on external information (like specific version numbers, etc). You have to either tell it where to look it up, or ask it to ask you questions how things need to be resolved. I personally use it to work on native code, C++ (with CMake), Zig, some Python. Works fine.


Except the whole point of using AI is to be able to actively route around gigantic dumpster fires of fail like CMake.

The bug was the CMake-specific formulation and incantation of a Git tag. Something that should be in the documentation that it ingested.

If AI can't even fix something this simple, what's the point?




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