Some things to consider:

1: The quality of code varies widely from model to model. In Visual Studio Copilot, I get so-so code from GPT, great code from Claude 4.x, lousy results from Claude 5.x

2: "Novel work" is harder to get from an LLM than when it's following an example. For example, I can get great Blazor / HTML / css from an LLM (and then spend time iterating making small adjustments,) but if I'm writing a complicated DB query or implementing a novel algorithm, it's best to do by hand.

3: But, in the case of a novel algorithm or query, I get great results saying "please write unit tests for XXX". That alone makes me develop code twice as fast!