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One of the downsides(!?) of the AI aided coding wave is the huge benefit for entrenched frameworks that the models are pre-trained on making it harder for newer frameworks to gain acceptance.

To tilt the balance slightly, I've added documentation on how to work with Claude when building with Duct UI.

I think such documentation will become essential for all new libraries and helpful even for older libraries trying to direct generated code towards certain standards or guidelines.

AI shouldn't mean end of experimentation and such efforts will make experimentation worthwhile.

Given the library is merely days old, it's probably not very surprising :). I'm still experimenting with the DX and the proportion of magic vs logic.

The docs are freshly baked as well, please feel free to let me know if you spot any inaccuracies or errors.

There is definitely a lot of value in practice and repetition. I don't think rote memorization / drilling are the only means of getting that practice and repetition. Ironically, with a bit of creativity, we can provide both. Lot of practice, lot of repetition, paired with understanding, play and making things.

There is deliberate practice for skill-building. There is exploratory "making" that fuels originality. There is inspiration hunting and incremental tweaking to get to creative mutation. There is high productivity that triggers eventual ingenuity. I find the article hyperbolic in its thesis and execution especially when it comes to the final hand-wavy bit about how there is more per-capita creativity in non-rote learning.

While its hard to prove or disprove without a long study to prove or disprove the author's claim, I'm willing to die on the following hills:

1. Kumon sheets are the antithesis to creativity 2. Understanding is not a form of memorization (not the rote variety anyway)

No. Thank you. Will reach out to them.