[hu3]

not OP but I have a hard metric for you.

AI multiplied the amount of code I committed last month by 5x and it's exactly the code I would have written manually. Because I review every line.

model: Claude Sonnet 3.5/4.5 in VSCode GitHub Copilot. (GPT Codex and Gemini are good too)

[lunar_mycroft]

I have no reason to think you're lying about the first part (although I'd point there's several ways that metric could be misleading, and approximately every piece of evidence available suggests it doesn't generalize), but the second part is very fishy. There's really no way for you to know whether or not you'd have written the same code or effectively the same code after reviewing existing code, especially when that review must be fairly cursory (because in order to get the speed up you claim, you must be spending much less time reviewing the code than it would have taken to write). Effectively, what you've done is moved the subjectivity from "how much does this speed me up?" to "is the output the same as if I had done it manually?"

[hu3]

> There's really no way for you to know whether or not you'd have written the same code or effectively the same code after reviewing existing code.

There is in my case because it's just CRUD code. The pattern looks exactly like the code I wrote the month prior.

And this is where LLMs excel at, in my experience. "Given these examples, extrapolate to these other cases."