Added to AGENTS.md :)

wwweston 7 hours ago | parent | next [-]

How good is your model at picking good data structures?

There’s several orders of magnitude less available discussion of selecting data structures for problem domains than there is code.

If the underlying information is implicit in high volume of code available then maybe the models are good at it, especially when driven by devs who can/will prompt in that direction. And that assumption seems likely related to how much code was written by devs who focus on data.

	▲	skydhash 6 hours ago \| parent [-]
		> There’s several orders of magnitude less available discussion of selecting data structures for problem domains than there is code. I believe that’s what most algorithms books are about. And most OS book talks more about data than algorithms. And if you watch livestream or read books on practical projects, you’ll see that a lot of refactor is first selecting a data structure, then adapt the code around it. DDD is about data structure.

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ozgrakkurt 7 hours ago | parent | prev | next [-]

Would be cool to see the live reaction of Rob Pike to this comment

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andsoitis 6 hours ago | parent [-]

> Would be cool to see the live reaction of Rob Pike to this comment

Based on everything public, Pike is deeply hostile to generative AI in general:

- The Christmas 2025 incident (https://simonwillison.net/2025/Dec/26/slop-acts-of-kindness/)

- he's labeled GenAI as nuclear waste (https://www.webpronews.com/rob-pike-labels-generative-ai-nuc...)

- ideologically, he's spent his career chasing complexity reduction, adovcating for code sobriety, resource efficiency, and clarity of thought. Large, opaque, energy-intensive LLMs represent the antithesis.

	▲	clktmr 5 hours ago \| parent [-]
		> - he's labeled GenAI as nuclear waste (https://www.webpronews.com/rob-pike-labels-generative-ai-nuc...) The whole article is an AI hallucination. It refers to the same "Christmas 2025 incident". The internet is dead for real.

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phh 5 hours ago | parent | prev [-]

Unironically. Every time I asked a LLM to make something faster, they always tried blind code optimisations, rather than measure.