@thdxr well if you don’t have good judgement and/or don’t care about your work, watever LLM spits out is pretty much what gets shipped. even if it’s marginally better than what you would have produced before it’s produced at a much higher rate so it’s worse overall due to compounding
@Porkchop_EXP@FarrellDan77378@rrockman Agreed, I’ve been to Amsterdam before moving there and that trip has been much less useful than online content for getting the picture of actual life there. Though I don’t think the difference between what’s shown to tourists and the daily life is as big in most other places
@0xblacklight They must’ve been for a while, because it sucks. Also don’t think they’re any more reliable than GH. While they may have less full scale outages, things fail and/or are very slow every day
everyone's talking about their teams like they were at the peak of efficiency and bottlenecked by ability to produce code
here's what things actually look like
- your org rarely has good ideas. ideas being expensive to implement was actually helping
- majority of workers have no reason to be super motivated, they want to do their 9-5 and get back to their life
- they're not using AI to be 10x more effective they're using it to churn out their tasks with less energy spend
- the 2 people on your team that actually tried are now flattened by the slop code everyone is producing, they will quit soon
- even when you produce work faster you're still bottlenecked by bureaucracy and the dozen other realities of shipping something real
- your CFO is like what do you mean each engineer now costs $2000 extra per month in LLM bills
@valyala@psviderski Yes, I’ve had great success with them on personal projects. However they are much less flexible/powerful than Kubernetes. I don’t think they would work as well for orgs with multiple teams and services operating at nontrivial scale
@valyala@psviderski I don’t know of a single solution that doesn’t have many issues and eventually needs third-party or even worse, first-party crutches. In my experience Kubernetes works pretty well once you get a hang of it, even for smaller companies (<100 engineers)
@valyala@psviderski Actually kube scheduler doesn’t do bin packing by default. Also it probably doesn’t make sense to use it if you’re not using something like karpenter that can perform automatic consolidation