Raw LLM Responses

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Comment
There's many angles you can take here. I'll take just one. Understanding existing code takes SIGNIFICANTLY longer than writing code. Even if AI can write the millions of lines of code required for a large-scale system in a single prompt, who's going to validate that the code does what it claims it does and confirm that it doesn't have critical bugs? Writing code is by far the least time consuming part of my job at FAANG. Our AI-based code completion already fails more than it succeeds. Even if we get to a world where AI can do most of the coding, it'll probably have to look like this: 1. SWEs work to understand requirements and translate that into prompts for AI 2. AI sends SWEs digestible pull requests that we thoroughly review, heavily tweak and approve. I don't see it going much further than that anytime soon. If John Doe wants to create a new solo project app, I think that'll become a lot easier since scope is small and stakes are low. Maybe we'll need a few less L3s at FAANG+, but I think most of us who work at scale are safe for at least the next 5-10 years.
youtube AI Jobs 2024-04-09T10:3… ♥ 132
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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