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▲ grumbel a day ago

"Reducing the cost of coding" would imply that you still have to code, but with current LLMs you no longer have to. You can write 100s of thousands of lines of code without ever having to touch a single line of code. Literally "here is a git repo, here is an issue, please fix".

You might still need to nudge the LLM in the right direction or stop it from going off weird tangents, but none of that involves touching actual code yourself.

▲verdverm a day ago | parent [-]

What is coding? Pushing keys or knowing the right keys to push?

Ai can push a lot of keys very fast, but not always the right ones

if they need to be reminded to follow the coding standards, visible in the very code they are working on, what has been solved?

▲grumbel a day ago | parent [-]

> What is coding?

Opening the IDE and typing program code. With LLMs you don't have to use an IDE, you don't have look at program code, you don't have to care about coding standards. You ask the chatbot to write you a program/feature/fix and chatbot does it.

Is chatting with a chatbot still "coding"?

The part that isn't fully solved is just the software architecture side of things, do you want library A or library B, or write it all from scratch? LLM can do all three, but if you aren't careful it might go down a route that you don't like. But that again can be fixed with chat, "replace A with B", not coding.

▲tripleee a day ago | parent [-]

So lets say you plan the software architecture and take a person off the street, give them a frontier model and tell them to clone Figma given your architecture

How far would they get?

▲verdverm 21 hours ago | parent [-]

As a developer, a good way to reframe this and step away from your own domain expertise, is to read Terence Tao's conversation with ChatGPT and ask yourself "could I have done that?"