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> pasting the ticket in and letting a machine do the work for a fraction of the cost was the right choice

If it were producing equivalent outcomes, sure. So far I haven't personally seeing strong evidence for that. LLMs do write code pretty competently at this point, but actually solving the correct problem, and without introducing unintended consequences, is a different matter entirely

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This. LLMs are terrible at planning/architecture and maintaining clarity of vision across a project. There are lots of tools that mitigate these issues but they're going to keep coming up regardless because of the fundamental nature of LLMs.

If you're not doing the design of the solutions for problems as an engineer or at least making the decisions and owning the maintenance of that architecture/design, what even is your job at that point?

I’ve found LLMs very good at two things: 1. Recommending paths forward, 2. Following established architecture. Your job is to be able to treat the LLM and code as sheep

> LLMs are terrible at planning/architecture and maintaining clarity of vision across a project.

So are many corporations but that doesn't stop them from being economically successful.

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