Comment by llmslave
14 days ago
My senior SWE job at FAANG has essentially turned into prompting Opus 4.5.
There is almost no reason to delegate the work, especially low level grunt work.
People disputing this are either in denial, or lacking the skill set to leverage AI.
One or two more Opus releases from anthropic and this field is cooked
What kind of work do you do that is simple enough that can be accomplished solely through prompting?
The golden handcuff type where you update documentation with new UI elements.
: )
distributed systems, log diving, deployments, etc
What kind of work do you do that CANT BE divided enough into tasks that can be accomplished mostly through prompting?
any sort of web tech based development.
Frontend, backend, animations, design, infra, distributed systems engineering, networking.
It's a troll account called llmslave made a couple months ago. Odds are low it's even a human.
It all depends on how you prompt. and the prompt system you’ve setup.. when done well, you just “steer” the code /system. Quite amazing to see it come together. But there are multiple layers to this.
> lacking the skill set to leverage AI
It possible that your job is simply not that difficult to begin with?
yes, but so are most jobs like mine
What job is so difficult that LLMs cant allow an experienced user an order of magnitude gain in efficiency?
An order of magnitude, really? An experienced user with an LLM is going to accomplish in 2026 what would have otherwise taken until 2036?
2 replies →
The problem is many users are not experienced. And the more they rely on AI to do their work, the less likely they are to ever become experienced.
An inexperienced junior engineer delegating all their work to an LLM is an absolute recipe for disaster, both for the coworkers and product. Code reviews take at least 3x as long. They cannot justify their decisions because the decisions aren't theirs. I've seen it first hand.
1 reply →
Unfortunatelly, i have the same experience.
It seems you've registered this account a couple of months ago only to basically repeat this opinion over and over (sprinkled with some anti-science opinions on top).
Really weird.
the world has changed, have you caught up?
It hasn't really.
Now people can just search stack overflow quicker for the wrong answer, and even more confidently than ever before.
2 replies →
The best part about your account is the people who don't understand the satire and unironically agree with you :D
username checks out
great engineering effort was spent to make software at FAANG built on clear service oriented modular architectures, and thus easy to develop for. Add to that good organization of process where engineers spend most of their time doing actual dev work.
Enterprise software is different beast - large fragile [quasi]monoliths, good luck for [current] AI to make a meaningful fixes and/or feature development in it. And even if AI manages to speed up actual development multiple times, the impact would be still small as actual development takes relatively small share of overall work in enterprise software. Of course it will come here too, just somewhat later than at places like FAANG.