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I dunno. I think there are a shitload of engineers out there who are just wiring up ever more boilerplate code to some cloud services and getting paid very well to do it. These kinds of tasks will become something almost anyone can do, and it will take 10x less time. I suppose this could either lead to headcount reduction or companies will just want to build more features with the same headcount. It’s going to depend on the specific business needs per company. It’s also difficult to imagine companies continuing to pay $130,000 or more for a role that more people can do with less training. I foresee some equalization of pay scales, in the white collar world, as a result of AI tooling. I think the gravy train is probably coming to an end for all but the most talented and educated engineers. It wasn’t that long ago that one could go to a bootcamp, grind some leetcode, and pretty easily find a six figure role. I think that is gone and not coming back, and I think high paying SWE roles will increasingly be reserved for people with advanced degrees, a lot of experience, and a lot of knowledge on AI/ML systems at scale.
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Coding Result
DimensionValue
Responsibilityunclear
Reasoningunclear
Policyunclear
Emotionunclear
Coded at2026-04-25T08:33:43.502452
Raw LLM Response
[{"id":"rdc_moy31b6","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},{"id":"rdc_moyjs1f","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"rdc_moyw636","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"},{"id":"rdc_moz19f5","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},{"id":"rdc_mozpe61","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"})