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LLM Inevitabilism

(tomrenner.com)
1613 points SwoopsFromAbove | 1 comments | | HN request time: 0.327s | source
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mg ◴[] No.44568158[source]
In the 90s a friend told me about the internet. And that he knows someone who is in a university and has access to it and can show us. An hour later, we were sitting in front of a computer in that university and watched his friend surfing the web. Clicking on links, receiving pages of text. Faster than one could read. In a nice layout. Even with images. And links to other pages. We were shocked. No printing, no shipping, no waiting. This was the future. It was inevitable.

Yesterday I wanted to rewrite a program to use a large library that would have required me to dive deep down into the documentation or read its code to tackle my use case. As a first try, I just copy+pasted the whole library and my whole program into GPT 4.1 and told it to rewrite it using the library. It succeeded at the first attempt. The rewrite itself was small enough that I could read all code changes in 15 minutes and make a few stylistic changes. Done. Hours of time saved. This is the future. It is inevitable.

PS: Most replies seem to compare my experience to experiences that the responders have with agentic coding, where the developer is iteratively changing the code by chatting with an LLM. I am not doing that. I use a "One prompt one file. No code edits." approach, which I describe here:

https://www.gibney.org/prompt_coding

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1. 827a ◴[] No.44572113[source]
For sure; similarly, when someone showed me Prettier many years ago, I immediately understood its value. This will save significant time every year I previously spent manually formatting my code and having arguments with other engineers about tabs versus spaces.

AI bros will probably feel I'm being sarcastic and facetious; but I'm genuinely not. LLMs are an awesome tool to have in the toolbelt. I use them every day. The question is simply on the scope of their capability.

Is this the future of how all code is written? Or is it just the future of how mostly-mechanical refactors happen? Can these systems take extremely abstract prompts and deliver adequate results? Or do they need to be communicated with in a way that so-closely-resembles computer code that one might as well just write the code themselves?