[petekoomen]

It does, and possibly this launch is a little window into the future!

Install scripts are a simple example that current generation LLMs are more than capable of executing correctly with a reasonably descriptive prompt.

More generally, though, there's something fascinating about the idea that the way you describe a program can _be_ the program that tbh I haven't fully wrapped my head around, but it's not crazy to think that in time more and more software will be exchanged by passing prompts around rather than compiled code.

[4b11b4]

> "the way you describe a program _can_ be the program"

One follow-up thought I had was... It may actually be... more difficult(?) to go from a program to a great description

[dang]

That's a chance to plump for Peter Naur's classic "Programming as Theory Building"!

https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

What Naur meant by "theory" was the mental model of the original programmers who understood why they wrote it that way. He argued the real program was is theory, not the code. The translation of the theory into code is lossy: you can't reconstruct the former from the latter. Naur said that this explains why software teams don't do as well when they lose access to the original programmers, because they were the only ones with the theory.

If we take "a great description" to mean a writeup of the thinking behind the program, i.e. the theory, then your comment is in keeping with Naur: you can go one way (theory to code) but not the other (code to theory).

The big question is whether/how LLMs might change this equation.

[chme]

TBH, I doubt that this will happen...

It is much easier to use LLMs to generate code, validate that code as a developer, fix it, if necessary, and check it into the repo, then if every user has to send prompts to LLMs in order to get the code they can actually execute.

While hoping it doesn't break their system and does what they wanted from it.

Also... that just doesn't scale. How much power would we need, if everyday computing starts with a BIOS sending prompts to LLMs in order to generate a operating system it can use.

Even if it is just about installing stuff... We have CI runners, that constantly install software often on every build. How would they scale if they need LLMs to generate install instructions every time?

[blast]

That's basically what I was thinking too: installation is a constrained domain with tons of previous examples to train on, so current agents should be pretty good at it.