Who Leads: The Coder or the Thinker?

There’s this argument that if you outsource your knowledge — or rather your work — to an AI, you lose the ability to do that task yourself.
And that makes sense: a muscle that isn’t trained will atrophy. So there is something to that concern, and it shouldn’t be dismissed.

But at the same time, the real question is:

Do you actually need to keep up with current tech stacks?
Isn’t it far more important to simply know what you want your computer to do — and let an AI do it for you?

Let’s assume an AI could create working applications right from the start.
In some cases, that already is how it works.
So is that really knowledge you must possess yourself?

Of course, when an AI fails, you have to debug a little.
Most of the time, it’s just typos.
But the point is: most activities are worth delegating.

Who cares about dependency issues?
Those are problems for the creators of Python.
Or Android.
Or whatever framework you happen to be using.

Take TF Lite — TensorFlow models for smartphones.
The amount of time I wasted on that was insane.
I delegated it to an AI, and it just worked.
I don’t care why it worked.
I don’t need to know why it worked.

And naturally, this extends into other areas:

• Writing a good email
• Writing a good letter
• Crafting a good response

This raises a deeper question:

What is a chore, and what is creativity?
Is washing dishes a chore? Obviously.
So is learning the details of every new tech stack a chore — or is it somehow “good” and “important”?

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