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Posted by alainrk 19 hours ago

Coding agents have replaced every framework I used(blog.alaindichiappari.dev)
326 points | 520 commentspage 11
samiv 14 hours ago|
Next up "coding agents replaced me"
luckydata 10 hours ago||
honestly this blog post was pretty off base. Current AIs have a limited ability to keep up with complexity and using known frameworks helps with managing that complexity. If you need to write everything from scratch every time you have to go through the process of scaffolding and harnessing the whole system from scratch. I don't think it's worth rewriting react from scratch every time you make a browser application, even in the best case it's just a huge waste of tokens.
phendrenad2 8 hours ago||
This is interesting, because I've been going the other way: Using coding agents to write MORE abstraction layers. This is because I realized that, just like humans, in fact even more so, language models struggle to keep the whole stack in mind at once. See for yourself: Try having your agent write a CRUD app in Ruby or Python (no Rails, no Django), and then try it again with Rails or Django. It'll be a lot more productive and error-free the second time.

However, I think I understand where the author's coming from based on this line:

> I’ve been building a product from the ground up. Not the “I spun up a Next.js template” kind of ground up

Next.JS is the pinnacle of JavaScript-on-the-backend frameworks, and it's kind of pathetic compared to what Rails or Django give you. You still have a lot of thinking to do, so I posit (as I have for some time) that using Next.JS vs using NodeJS directly gives humans very little productivity boost. I think people just know that frameworks are a good thing in general, and never realized that the JavaScript offerings weren't that powerful.

ewuhic 14 hours ago||
ai slop shit
alainrk 13 hours ago|
Interesting analysis
pengaru 11 hours ago|
now we get to watch an entire generation of clowns who struggled to create anything at all learn the need for self-discipline in the face of newly accessible NIH traps