You missed option c.
C) keep all 8 engineers so the team can pump out features faster, all still working 8 hour days. The ceo will probably be forced to do it to keep up with their competition.
I didn't miss it, I just think it's going to be a rare outcome. I'm sure companies will become a little more bold about new products or new features, but I think there's an upper limit to the amount of change customers will tolerate. Once a product is stable enough to make money, for the most part, users don't want changes or new features and often rebel against them. Most people they think: I'm paying for this thing because it already does the stuff I need, please don't change it, I don't want to relearn this. I'm not saying that to be against evolving software of course, I just think competing on "we move a million miles per hour" will result in burnt out developers and overwhelmed customers. I mean, we're already seeing some burnout from people using AI tools, and I think part of that just has to be the pace of things.
> The reality: 3 weeks in, ~50 hours of coding, and I'm mass-producing features faster than I can stabilize them. Things break. A lot. But when it works, it works.
Can you give an example? His writing seems pretty grounded to me. He's not out there going on podcasts claimed that LLMs are going to cure cancer, afaik.
RatatuiRuby is pretty new still: its beta launch was Jan 20. Octobox's TUI is built on it [0], and Sidekiq is using it to build theirs [1].
I believe they'll be maintainable long-term, as they've got extensive tests and documentation, and I built a theory of the program [2] on the Ruby side of it as I reviewed and guided the agent's work.
I am getting feedback from users, the largest of which drove the creation of (and iteration upon) Rooibos. As a rendering library, RatatuiRuby doesn't do much to guide the design or architecture of an application. Rooibos is an MVU/TEA framework [3] to do exactly that.
Tokra is basically a tech demo at this stage, [4] so (hopefully) no users yet.
And the original link about investment in India is also about fulfillment jobs and even worse, “investing in AI”, aka building data centers, which contribute essentially no jobs at all.
I don't know if it's fair to call him an ai addict or deduce that his ego is bruised. But I do wonder whether karpathy's agentic llm experiences are based on actual production code or pet projects. Based on a few videos I have seen of his, I am guessing it's the latter. Also, he is a research scientist (probably a great one), not a software developer. I agree with the op that karpathy should not be given much attention in this topic i.e llms for software development.
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