[KronisLV]

> Since gpt came out I have built tons of throwaway apps, plenty of specialized apps for side projects, and experimented with tons of ideas that I likely wouldn’t have if I didn’t have access to a tool to build it for me from just asking it to do it and explain what it did.

GitHub Copilot, ChatGPT and Phind are all a bit like this for me - they both lower the barrier of entry and save me a lot of time for trivial algorithms and boilerplate code, in addition to helping me find things better than search engines sometimes do, especially when given a look at the code that I'm working with.

It might not be an order of magnitude difference in my case, but things that wouldn't have happened with the higher barrier of entry are now happening and that's quite the difference in of itself! I'm cautiously optimistic about LLMs and other forms of "AI". If nothing else, so far we basically have a more versatile form of IntelliSense, even if it's not always going to output correct code.

I wonder if some day it'll be feasible to feed in the entirety of a larger codebase and reason about it better than people who only know a part of it could.

[skydhash]

> If nothing else, so far we basically have a more versatile form of IntelliSense, even if it's not always going to output correct code.

That's the real issue for me. I remember learning programming and I either had not so good intelligence (Codeblocks, IDLE, Netbeans) or none at all (notepad++,...). This forces me to either follow the book attentively (and hunting down errata) or read the manual and getting explanations from forums or friends. When you're a beginner, uou need a good source of truth, not something that can be subtly wrong.