Unis imo are irrelvant in the context of software production. Id take someone who didnt finish or dropped out provided they can answer the question below.
The only thing worth asking people is: what have you produced? Within this one question is so much detail that any other artifact is moot.
>Unis imo are irrelvant in the context of software production. Id take someone who didnt finish or dropped out provided they can answer the question below.
What you'd take is irrelevant if the HR/recruiter doing the initial screening of resumes is looking at an oversupply of candidates with degrees.
Hiring is broken is many ways. Candidates without degrees are faring even worse now are the initial recruiter screening stage due to the poor market.
In my EU country, academic inflation is so bad due to free education and psyopping everyone to path of academia, that not having a MSc is basically a red flag to companies for getting a SW job as most candidates have one, which means you're expected to have one too if you want to get a job.
Your prediction is... missing so much detail of how that prediction actually happens that it is pointless. This is my big dislike re. the discussion of LLMs and the effect of AI more broadly. Unless you bother to make an effort in going deeper why post it? Theres no value. The same stuff has been posted for months and even years at this point.
When GPT 3.5 was released, it could handle maybe a 500 LOC codebase. Experienced engineers were calling it cute, but zero threat to actual programmers.
Then it became thousands.
Now models can handle and operate on code bases with hundreds of thousands LOC, even low MLOC.
So in just 3.5 years we've gone from LLMs being cute toys, to being powerful enough to actually replace junior engineers. Even if we hit a new AI winter tomorrow, the proverbial damage is already done.
What damage lmao? Let’s see the llm producers raise the price to what is necessary to generate viable returns.
BTW they need to make enough to finance reinvestment internally… so it’s a lot more than you think. When they raise the price firms will then have to do a deep dive analysis on what to do - for they cannot see operating expenses climb incrementally without seeing revenue and costs of operations go in a favourable direction.
It’s easy when prices are lower than they should be.
I mean the workplace dynamics are such that nobody really cares unless they find themselves in a position of committing something that could get them fired. Most companies dont treat their workers all that well.
Why would you as a worker bother doing everything pristine? Theres no reward for you. The management of the company will fire you the day they see fit anyway. Not to mention companies tend to give higher salary raises to those who leave and later return - a true slap in the face of 'loyalty'.
While I agree, I think that the reward is that when I write things myself I have to revisit that code much less frequently than those who are vibing their services. I'm sure someone will tell me that the person didn't prompt it right. Anyway, until we no longer live in this crumbling semblance of a capitalist society, then I will continue to do my job to not just keep it but also make my life easier.
For all intents and purposes yeh. Its really about the variance in actual outcomes vs the expected. The variance is not much is it? With LLMs that absolutely isnt the case.
The only thing worth asking people is: what have you produced? Within this one question is so much detail that any other artifact is moot.