[xorvoid]

I feel like the comments are taking away the wrong message from this. He used it to do the part of the project that he has poor knowledge/experience/capacity for. He needs a visualization but the project isn't about visualization. He's spent a lifetime coding in C, not writing python-based visualizations.

There's a big difference between vibe-coding an entire project and having an AI build a component that you lack competency for. That is what is happening here.

It's the same principle as a startup that builds it core functionality itself in-house and then uses off-the-shelf libraries for all the other uninteresting details.

[DayGo]

2022: cute, llms can autocomplete a line correctly sometimes

2023: ok it got the whole function right, still just pattern matching though

2024: cool it banged out that component in one prompt, but it's just boilerplate

2025: it one-shot an entire app, whatever, just glue code

2026: nah man that's nothing, it's just filling in competency gaps for one of the greatest programmers of all time

[skylurk]

yes, but also

2026: llms can autocomplete a line correctly sometimes

[xorvoid]

What could have been a decent and well-meaning discussion has been completely lost here in cynicism and hero worship.