Raw LLM Responses

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Comment
From 2022–2024, tools like ChatGPT and Copilot boosted productivity on small coding tasks, but people mistakenly extrapolated this to “AI will do 80–90% of development,” scaring students and juniors away from CS. ​ 2024 brought viral but misleading demos (like “autonomous AI engineers”) and headlines about “25–30% of code is AI‑generated,” yet studies of 153 million lines of code showed more churn and subtle bugs when AI was heavily used, proving humans still had to rewrite and review a lot. ​ In 2025’s bad tech job market, only about 5% of 1.17 million layoffs were actually due to automation by AI; most cuts came from pandemic over‑hiring and companies using “AI” as a PR excuse to fire people and impress investors. ​ The core technical limits are: large language models are prediction machines that hallucinate instead of saying “I don’t know,” and “vibe coding” (blindly accepting AI output) creates fragile systems no serious company can trust; so instead of replacing devs, AI is becoming a powerful tool that still requires human oversight, with “context engineering” (precise problem framing, constraints, and review) as the key future‑proof skill for software engineers.
youtube AI Jobs 2026-02-12T04:5… ♥ 10
Coding Result
DimensionValue
Responsibilitynone
Reasoningconsequentialist
Policynone
Emotionindifference
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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