FAANG used to over-employ not just due to ZIRP, but also in the fear that their engineers would build competing products. These companies enjoy healthy margins. Unemployed engineers can duplicate the core functionality and offer it for less.
FAANG used to over-employ not just due to ZIRP, but also in the fear that their engineers would build competing products. These companies enjoy healthy margins. Unemployed engineers can duplicate the core functionality and offer it for less.
FAANG used to over-employ not just due to ZIRP, but also in the fear that their engineers would build competing products. These companies enjoy healthy margins. Unemployed engineers can duplicate the core functionality and offer it for less.
FAANG used to over-employ not just due to ZIRP, but also in the fear that their engineers would build competing products. These companies enjoy healthy margins. Unemployed engineers can duplicate the core functionality and offer it for less.
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Zero interest rate policy, which makes borrowing lots of money almost free, which makes it easy to hire lots of people using said borrowed money.
> Large corps likely have some huge codebases of overengineered spagetti code, which are hardly comprehendable by LLMs. I think it's the other way around, though. Those code monstrosities aren't comprehendible by humans , especially after the wanton RIFs that have happened in the past couple years that have cut loose a lot of people who know where the bodies are buried. However, with copilot you can just figuratively…
I have never seen this work, at all, with a large codebase. Can you give a specific example of a large repo where this produced useful/coherent results?
Id be curious as well but really doubt AI could make much headway into a legacy codebase I recently spent some time on. There is tacit knowledge that AI cannot pick up on, many things are named wrong, there are patches and workarounds that barely make any sense, architecture inconsistencies and transitions in style from 20 years ago to now. Maybe if there was some documentation and explanatory notes. Without needing to fill the gaps by simply asking the prompter for more information, im inclined to suspect the same old eagerness to bullshitting that LLMs have been programed in.
I seriously wonder why this is not happening more given all the copilots available. I guess the h1bs don't have the time/appetite to do this. Wouldn't locals have enough of a vendetta to do this?
Salesforce is a sales driven org. It’s hard for engineers (and essentially impossible for H1B’s) to replace that .
True that. It I was thinking more about other products that are "lowish" scale and not ad driven. Especially SaaS products.
Let's not forget pre-2020 when the company released "Salesforce Blockchain", "NFT Cloud" and "Salesforce Web3 Platform". This is how they operate. Just one marketing hype moment after another. The actual product doesn't really matter (and in a lot of cases doesn't even launch). They just need to keep making pretty slide decks filled with meaningless buzzwords so their customers get distracted from the fact that they…
> so their customers get distracted from the fact that they are paying $500+ per user per month for a shitty web UI on top of 4 database tables. Oof, I felt that cut in my bones and I was only a customer.
FAANG used to over-employ not just due to ZIRP, but also in the fear that their engineers would build competing products. These companies enjoy healthy margins. Unemployed engineers can duplicate the core functionality and offer it for less.
I seriously wonder why this is not happening more given all the copilots available. I guess the h1bs don't have the time/appetite to do this. Wouldn't locals have enough of a vendetta to do this?