@trq212: the most common failure case I see is when people are working outside their domain of expertise and don't know how to b…
Summary
一条关于 vibe coding 的讨论推文，指出非专业领域人士使用 AI 编码时最常见的失败原因是提示词不够精确，导致大量无效迭代，并引用了一个耗费 40 亿 token 才做出国际象棋网页应用的极端案例。
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the most common failure case I see is when people are working outside their domain of expertise and don’t know how to be precise with their prompts and plans, so they have to spend a lot of turns iterating imprecisely
Brian Lui (@brianluidog): I think programmers kind of underestimate their vibe coding advantage versus non-programmers. I know a guy who spent 4 billion tokens to make a chess webapp.
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