Comment by deaux
4 hours ago
No, it is still indicative of a low quality product. And I say that as someone who has probably been agentic coding longer than you have.
Indicative in my dictionary doesn't mean definitive. It just makes it much more likely. You can make quality products while LLMs write >99% of the code. This has been possible for more than a year, so it's not a lack of updating of beliefs that is the issue. I've done so myself. Rather, 90% of above products are low quality, at a much higher rate than say, 2022, pre-GPT. As such, it's an indicator. That 10% exists, just like pearls can hide in a pile of shit.
As others have said the reason is time investment. You can takes 2 months to build something where the LLM codes 99%. Or you can take 2 hours. HN, and everywhere else, is flooded by the latter. That's why it's mostly crap. I did the former. And luckily it led to a good result. Not a coincidence.
This applies far beyond coding. It applies to _everything_ done with LLMs. You can use them to write a book in 2 hours. You can use them to write a book in 2 years.
I've been neck deep in a personal project since January that heavily leverages LLMs for the coding.
Most of my time has been spent fitting abstractions together, trying to find meaningful relationships in a field that is still somewhat ill-defined. I suppose I could have thrown lots of cash at it and had it 'done' in a weekend, but I hate that idea.
As it stands, I know what works and what doesn't (to the degree I can, I'm still learning, and I'll acknowledge I'm not super knowledgeable in most things) but I'm trying to apply what I know to a domain I don't readily understand well.