Bear in mind also that the inputs to train LLMs on future languages and frameworks necessarily have to come from the hacker types. Somebody has to get their hands dirty, the "micro" of the parent post, to write a high quality corpus of code in the new tech so that LLMs have a basis to work from to emit their results.
What I want to do is create bespoke components that I can use to create a larger solution to solve a problem I have.
What I don't want to do is spend 45 minutes wrangling JSON to a struct so that I can get the damn component working =)
A quick example: I wanted a component that could see if I have new replies on HN using the Algol API. ~10 minutes of wall clock time with Claude, maybe a minute of my time. Just reading through the API spec is 15 minutes. Not my idea of fun.
I don't think you're a hacker. I think you enjoy writing code (good for you). Some of us just enjoy making the computer execute our ideas - like a digital magician. I've also gotten very good at the code writing and debugging part. I've even enjoyed it for long periods of time but there's times where I can't execute my ideas because they're bigger than what I can reasonably do by myself. Then my job becomes pitching, hiring, and managing humans. Now I write code to write code and no project seems too big.
But I'm looking forward to collapsing the many layers of abstraction we've created to move bits and control devices. It was always about what we could do with the computers for me.
The reason your login is slow is not because someone didn’t use the right algorithm.
Most game developers are just using other company’s engines.
While yes you need to learn how the architecture, the code isn’t the gating factor.
One example is the Amazon Prime Video team using AWS Step functions when they shouldn’t have and it led to inefficiencies. This was a public article that I can’t find right now.
(And before someone from Amazon Retail chimes in and says much of Amazon Retail doesn’t run on AWS and uses the legacy CDO infrastructure - yes I know. I am a former AWS employee).