Yeah, I totally agree, and you're 100% right. But the amount of integrations I've personally done and have instructed my team to do implies this one will be around for a while. At some point spending too much time on code that could be easily generated will be a negative point on your performance.
I've heard exactly the same stories from my friends in larger tech companies as well. Every all hands there's a push for more AI integration, getting staff to use AI tools and etc., with the big expectation that development will get faster.
> At some point spending too much time on code that could be easily generated will be a negative point on your performance.
If we take the premise at face value, then this is a time
management question, and that’s a part of pretty
much every performance evaluation everywhere. You’re not rewarded for writing some throwaway internal tooling that’s needed ASAP in assembly or with a handcrafted native UI, even if it’s strictly better once done. Instead you bash it out in a day’s worth of Electron shitfuckery and keep the wheels moving, even if it makes you sick.
Hyperbole aside, hopefully the point is clear: better is a business decision as much as a technical one, and if an LLM can (one day) do the 80% of the Pareto distribution, then you’d better be working on the other 20% when management come knocking. If I run a cafe, I need my baristas making coffee when the orders are stacking up, not polishing the machine.
Caveats for critical code, maintenance, technical debt, etc. of course. Good engineers know when to push back, but also, crucially, when it doesn’t serve a purpose to do so.
I don't think AI is an exception. In organizations where there were top-down mandates for Agile, or OOP, or Test-Driven Development, or you-name-it, those who didn't take up the mandate with zeal were likely to find themselves out of favor.
It's not necessarily top down. I genuinely don't know a single person in my organization who doesn't use LLMs one way or another. Obviously with different degrees of applications, but literally everyone does. And we haven't had a real "EVERYONE MUST USE AI!", just people suggesting and asking for specific model usages, access to apps like Cursor and so on.
(I know it because I'm in charge of maintaining all processes around LLM keys, their usages, Cursor stuff and etc.)
No, right now the only thing higher ups ask from me is general percentage usages for different types of model/software usages (Anthropic/OpenAI/Cursor and etc.), so we can reassess subscriptions to cut costs wherever it's needed. But to be fair, they have access to the same dashboards as I do, so if they want to, they can look for it.
I've heard exactly the same stories from my friends in larger tech companies as well. Every all hands there's a push for more AI integration, getting staff to use AI tools and etc., with the big expectation that development will get faster.