No surprise at all and I'd challenge you to find any backend task that LLMs don't improve working on as much they do frontend. And ignoring that the parent comment here is just ignorant since they're talking about the web like it's still 2002. I've worked professionally at every possible layer here and unless you are literally at the leading edge, SOTA, laying track as you go, backend is dramatically easier than anything that has to run in front of users. You can tolerate latency, delays and failures on the backend that real users will riot about if it happens in front of them. The frontend performance envelope starts where the backend leaves off. It does not matter in the slightest how fast your cluster of beefy identical colocated machines does anything at all if it takes more than 100ms to do anything that the user directly cares about, on their shitty browser on a shitty machine on tethered to their phone in the mountains, and the difference is trivially measurable by people who don't work in our field, so the bar is higher.
Honestly, I am also at a faang working on a tier 0 distributed system in infra and the amount of AI generated code that is shipped on this service is probably like 40%+ at this point.
I'm not surprised at all here, last time I worked in a FAANG there was an enormous amount of boilerplate (e.g. Spring), and it almost makes me weep for lost time to think how easy some of that would be now.
It’s not just boilerplate. This is a low level C++ service where latency and performance is critical (don’t want to get into too much detail since I’ll dox myself). I used to think the same thing as you: “Surely my job is safe because this system is very complex”. I used to think this would just replace front end engineers who write boilerplate react code. 95% of our codebase is not boilerplate. AI has found optimizations in how we store items, AI has alerted us to production issues (with some degree of accuracy, of course). I worry that traditional software engineering as we know it will disappear and these hybrid AI jobs will be what’s left.
