More to the point, nobody wants to be more efficient for the sake of being efficient, we all want to go to work, do our metaphorical 9 to 5 without consuming too much (intellectual and not only) energy, and then back home. In that regard AI is seen as an existential threat to that "lifestyle" and it will be treated as such by regular workers.

> It ended up requiring a few hundred lines of Python

And she knows those a hundred lines of python work correctly and give her correct result because in this instance Claude managed to produce a working result. What if it didn't? Would vague knowledge of Python have helped her?

> It won't be trivial, but I do think there's a big opportunity for whoever can translate the experience we're having with agentic coding to a non-technical audience.

Even though I agree with the sentiment, we've tried non-coding coding how many times now? Once every 5 years? Throwing LLMs into the mix won't help much when in the end you leave the end user hanging, debugging problems and hunting for solutions.