How does AI write Swift code, and where does it typically go wrong?
Essence
A language model doesn't "know" Swift the way the compiler does: it predicts a plausible continuation of text based on statistics over a huge corpus of code. That explains its strengths (boilerplate, common patterns, translating between APIs) and its predictable weaknesses. The model writes correct and incorrect code with the same confidence, so its confidence tells you nothing about correctness.
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