I'm a bit later in my career and I've been involved with modern machine learning for a long time which probably affects my views on this, but I can definitely relate to aspects of it.
I think there are a couple of good signals in what you've said but also some stuff (at least by implication/phrashing) that I would be mindful of.
The reason why I think your head is fundamentally in a good place is that you seem to be shooting for an outcome where already high effort stays high, and with the assistance of the tools your ambition can increase. That's very much my aspiration with it, and I think that's been the play for motivated hackers forever: become as capable as possible as quickly as possible by using every effort and resource. Certainly in my lifetime I've seen things like widely distributed source code in the 90s, Google a little later, StackOverflow indexed by Google, the mega-grep when I did the FAANG thing, and now the language models. They're all related (and I think less impressive/concerning to people who remember pre-SEO Google, that was up there with any LLM on "magic box with reasonable code").
But we all have to self-police on this because with any source of code we don't understand, the abstraction almost always leaks, and it's a slippery slope: you get a little tired or busy or lazy, it slips a bit, next thing you know the diff or project or system is jeopardized, and you're throwing long shots that compound.
I'm sure the reviewers can make their own call about whether you're in an ok place in terms of whether you're making a sincere effort or if you've slipped into the low-integrity zone (LLVM people are serious people), just be mindful that if you want the most out of it and to be welcome on projects and teams generally, you have to keep the gap between ability and scope in a band: pushing hard enough to need the tools and reviewers generous with their time is good, it's how you improve, but go too far and everyone loses because you stop learning and they could have prompted the bot themselves.
I think there are a couple of good signals in what you've said but also some stuff (at least by implication/phrashing) that I would be mindful of.
The reason why I think your head is fundamentally in a good place is that you seem to be shooting for an outcome where already high effort stays high, and with the assistance of the tools your ambition can increase. That's very much my aspiration with it, and I think that's been the play for motivated hackers forever: become as capable as possible as quickly as possible by using every effort and resource. Certainly in my lifetime I've seen things like widely distributed source code in the 90s, Google a little later, StackOverflow indexed by Google, the mega-grep when I did the FAANG thing, and now the language models. They're all related (and I think less impressive/concerning to people who remember pre-SEO Google, that was up there with any LLM on "magic box with reasonable code").
But we all have to self-police on this because with any source of code we don't understand, the abstraction almost always leaks, and it's a slippery slope: you get a little tired or busy or lazy, it slips a bit, next thing you know the diff or project or system is jeopardized, and you're throwing long shots that compound.
I'm sure the reviewers can make their own call about whether you're in an ok place in terms of whether you're making a sincere effort or if you've slipped into the low-integrity zone (LLVM people are serious people), just be mindful that if you want the most out of it and to be welcome on projects and teams generally, you have to keep the gap between ability and scope in a band: pushing hard enough to need the tools and reviewers generous with their time is good, it's how you improve, but go too far and everyone loses because you stop learning and they could have prompted the bot themselves.