Developers should practice reading AI-generated code, even when it works and the tests pass
It's becoming easier to generate a solution and check whether it behaves as expected. But passing tests doesn't tell us everything about the quality of the implementation
Reading code helps us notice questionable assumptions, unnecessary complexity, hidden dependencies, and problems that tests don't cover
And when something eventually breaks, understanding the code we've shipped becomes rather useful
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