Thank you Toby and all for the discussion
it is an important one, at many levels

I have always detested coding, comparing it to unnecessary bricklaying  vs
me being interested in information architectures

When AI generated code became available I felt relief, the finally humanity
has found a way of avoiding coding by hand

My question is: is the AI generated code as good as, better or worse than
humanly written code?
Having the code written up already means learners must learn how to
implement it and run it correctly

can it be used to learn/teach about coding more productively - ie engaging
learners to Implement debug, test, maniupate, evaluate the ai generated
output
and how to correct it and improve it, rather than putting their effort into
writing

 AI generated code could allow learners to move straight into the next
level of coding, that is implementation
Thorough understanding of how the syntax and logic of the program should
still be required, but the human intelligence
so rare and precious can be spared the tedious task of actually writing it


On Mon, Mar 17, 2025 at 6:21 AM Paul Harrison via discuss <
discuss@lists.carpentries.org> wrote:

> Hi Toby,
>
> I'm following this ongoing discussion with interest. Great to see this
> being added to Carpentries material.
>
> We recommend that you avoid getting help from generative AI while you
> learn to code
>
>
> I was a bit surprised by this negative conclusion. My feeling would be
> that it isn't reasonable to expect people not to use these tools while
> learning, and therefore they need to know how to use them safely. And they
> do seem quite good at explaining code or suggesting different approaches.
>
>
> Here's a slide I used in a recent workshop, although I'm far from 100%
> happy with it.
> https://monashdatafluency.github.io/r-progtidy/slides/introduction.html#11
>
>
>
>
>
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