[myk9001]

> Just the production of the code is different.

Just like you, I think prompting LLMs to produce code for us is the future of the profession. Not necessarily a fan, this is just how I see the reality of it. The person I'm replying to feels this ruins the profession for them, if I'm reading their comment right. Hence the question.

Edit: Oh, you're the post's author. Thanks for sharing and I hope the business is going strong.

[exceptione]

I don't understand why you attract downvotes, tried to upvote you, but to answer your question:

I have no real backup plans, but I can see that my (and my peers) knowledge, design sensitivity and architectural skills will become an even more real scarce asset, especially when there is a surge of vibe coded projects.

In the case of OP however, I think he has found a niche (I assume) in which, between deep applications and throw away code, the balance tilts over to the latter. So this is the domain of MS Power Apps, low code prototypes, and Power BI reports. And so, potentially, his personnel was already more apt to not dislike how the nature of their work changed.

[buzzbyjool]

You’re absolutely right that there’s a spectrum between deep applications and throwaway code. But I wouldn’t place what we’re doing in the Power Apps / low-code / Power BI category.

The systems we’re building with LLMs (at Easylab AI) aren’t quick prototypes or business dashboards — they’re fully functioning SaaS platforms with scalable backends, custom business logic, API orchestration, test coverage, and long-term maintainability. The difference is: they’re authored through agents, not typed from scratch.

And to your point about design sensitivity and architecture becoming scarce — I couldn’t agree more.

When LLMs handle 80% of the syntactic work, what’s left is the hard stuff: system thinking, naming, sequencing, interfaces, data flows. That’s exactly where our team shifted: less “builders,” more “designers of builders.” It’s not easier work — it’s just a different level of abstraction.

Thanks for the reply, sincerely. It’s good to talk about this without defaulting to hype or fear.

[exceptione]

I wanted to thank you as well. I replied you somewhere else in this thread with some more questions if you feel like.