I don't know, we spent the last few years with tons of posts telling us "coding is dead" and the biggest companies in the world telling us our jobs are going to go extinct.
That mindset has also deteriorated my working environment due to some coworkers buying into it.
So it's kind of nice to see some sanity checks that align with my beliefs too. I can share articles like this with my teammates. I can see that I'm not alone in thinking most LLM code is slop.
I think too junior devs NEED to see this. My team had a couple of promising juniors who are now completely brain rotted by AI and can't even write "Hello World" without consulting Claude anymore.
Well, and that's how you get enshittification everywhere. Everyone just cares about time to market, consumers are left to drown among a sea of slop, and honest businesses go down because they cannot stand a chance against slop peddlers flush with VC money.
Enshittification happens after the company was quick to deliver a working solution. They successfully captured the market, killed off the competition and now they are ready to start milking the customers who have no other choice.
AI slop can actually help with this, because it reduces the cost of replacing their enshittificated software.
The reason its hard to dethrone Facebook, Instagram, YouTube, Twitch, etc. Is not because it's hard to recreate the software (it may or may not be) it's because of network effects, budgets, etc.
I think anyone who has worked on a serious software project would say, this means it would be polling you constantly.
Even if we posit that an LLM is equivalent to a human, humans constantly clarify requirements/architecture. IMO on both of those fronts the correct path often reveals itself over time, rather than being knowable from the start.
So in this scenario it seems like you'd be dealing with constant pings and need to really make sure you're understanding of the project is growing with the LLM's development efforts as well.
To me this seems like the best-case of the current technology, the models have been getting better and better at doing what you tell it in small chunks but you still need to be deciding what it should be doing. These chunks don't feel as though they're getting bigger unless you're willing to accept slop.
And most of my friends and colleagues would take a full remote role that pays half what big tech, 5 days in office pays. Add in an extra week of PTO and you have a great pitch to devs.
You can incentivize people to stay with things other than salary.
Salary plays a part of course, but there is a lot of other aspects that make staying at a job worthwhile.
Yes, as much hate as it tends to get on here it's really fine.
This vulnerability is unfortunate but every library/framework will have security issues over its lifespan.
The trivial nature of the initial exploit does not instil confidence, nor does it that no one noticed it during the refactor that lead to the second variation of the exploit.