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chatmasta 5 hours ago

What I miss is people showing off their hand-crafted libraries or frameworks. That’s become way less common now that everyone is building a layer up the stack. I fear we’ll be stuck in a permanent state of using Tailwind and React and all the LLM-favored libraries as they were frozen in time at the beginning of 2025. Then again, that’ll be the agent’s problem, not mine…

All that said, it’s extremely exciting. I’ve been in tech, in one way or another, for 25 years. This is the most energizing (and simultaneously exhausting) atmosphere I’ve ever felt. The 2006-2011 years of early Facebook, Uber, etc. were exciting but nothing like this. The future is developing faster than we can process it.

kehvyn 4 hours ago | parent | next [-]

If it helps, I've mostly been using AI to implement things in the craziest languages I can justify.

I write Typescript and SQL by day, my last two personal projects were Rust and Perl.

I do worry that I'm not learning them as deeply, but I am learning them and without AI as an accelerant I probably wouldn't be trying them at all.

mattgreenrocks 4 hours ago | parent | prev | next [-]

Perhaps we're in an AI summer and a tech winter. Winter is always the time when people hole up, dream, and work on whatever big thing is next.

We're about due for some new computing abstractions to shake things up I think. Those won't be conceived by LLMs, though they may aid in implementing them.

zer00eyz 4 hours ago | parent [-]

We have 2 decades of abstraction.

The stacks of turtles that we use to run everything are starting to show their bloat.

The other day someone was lamenting dealign with an onslaught of bot traffic, and having to deal with blocking it. Maybe we need to get back to good old fashioned engineering and optimization. There was a thread on here the other day about PC gamer recommending RSS readers and having a 36gb webpage ( https://news.ycombinator.com/item?id=47480507 )

jakelsaunders94 4 hours ago | parent | prev [-]

> What I miss is people showing off their hand-crafted libraries or frameworks.

Saame. I wonder if the use of AI will lead to less invention and adoption of new ideas in favour of ideas with lots of training data.