This is a good thesis but it does lean a bit too hard on a vague 80/20 metaphor. It kind of romanticises old-school engineering struggles while downplaying how much of past learning was just wrestling with crappy tooling or poor docs. Things are much better now, I wouldn't want to go back. The stronger argument would not just be the old way is better, but that we need a way to preserve judgment that used to be developed through the struggle.
felix-the-cat 1 minutes ago [-]
Right, I find that AI tools combined with solid domain knowledge are incredibly effective. Yeah, if you try to one-shot a complex distributed system you'll end up with a mess, but the same thing would happen if you tried to do it yourself in the space of a day - you're still reasoning and applying experience, it's just you have an automated tool to take care of generating the source code.
felix-the-cat 8 minutes ago [-]
"They cluster around exactly the parts of engineering that take sustained operational experience, the idempotency key that keeps two racing requests from corrupting state, the backoff and jitter that keep a retry from turning into a stampede, the migration written to dodge a long table lock, the rate limiter, the circuit breaker, the structured log that makes the eventual failure diagnosable at 3am."
But these are things that the AI actually knows how to do just about as well as regular developer would. I run into these problems all the time working on a trading platform and AI is quite good at solving these issues and discussing them if you have questions or providing a collection of strategies you can choose from.
chilipepperhott 33 minutes ago [-]
Ironically, this post reeks of Claude.
> Generative AI hasn’t repealed this rule. It’s relocated it
layer8 26 minutes ago [-]
I was hoping that the author would live in the last 20%, but Pangram says that the article is 100% AI-generated.
zabriel_goss 29 minutes ago [-]
Generated? Or are we all reading so much generated material in our workflows that it's seeping into our authentic dialogue
OJFord 25 minutes ago [-]
This is an insightful comment that cuts to the heart of the matter — human agents, like their machine counterparts, are prone to repeat phrasing they've come across before.
throw-the-towel 23 minutes ago [-]
Man, do I hope the AI-esque phrasing of this comment is just irony.
bbg2401 18 minutes ago [-]
The writing is dissimilar to the authors prior work, and the website is AI bilge. It’s a safe assumption that it’s AI generated
sublinear 25 minutes ago [-]
The answer is simple. Stop working for "big tech" and SV startups. They're the only ones leaning into AI this hard.
Find a role maintaining services instead of scrambling to build shiny new products, and you'll have what you want.
There is plenty to do. The last decade of "move fast and break things" broke a lot of things. The work is challenging and rewarding. You're not cleaning up slop. You're not being given so much rope to hang yourself. You will work with people that have been there for decades. They are not all backwards thinking corporate Java devs.
senderista 28 minutes ago [-]
Slop about slop.
Rendered at 19:38:03 GMT+0000 (Coordinated Universal Time) with Vercel.
But these are things that the AI actually knows how to do just about as well as regular developer would. I run into these problems all the time working on a trading platform and AI is quite good at solving these issues and discussing them if you have questions or providing a collection of strategies you can choose from.
> Generative AI hasn’t repealed this rule. It’s relocated it
Find a role maintaining services instead of scrambling to build shiny new products, and you'll have what you want.
There is plenty to do. The last decade of "move fast and break things" broke a lot of things. The work is challenging and rewarding. You're not cleaning up slop. You're not being given so much rope to hang yourself. You will work with people that have been there for decades. They are not all backwards thinking corporate Java devs.