“AI 氛围编码”让真实公司内部的原型设计变得更糟了吗？
4 分•作者: arapkuliev•6 个月前
我一直听到有人说，现在原型设计已经“解决了”——直接用 Cursor、Claude、Lovable 等工具就行了。<p>但当我与真实组织（医疗保健、受监管行业，甚至是大型非科技公司）内部的人交流时，我看到的却恰恰相反：<p>想法从来不缺。人们总是有很多想要测试的东西——新的工作流程、内部工具、面向患者的流程、决策支持用户界面。<p>瓶颈不在于创造力，而在于：
– 专注于维护的内部 IT 团队
– 已经超负荷的工程师
– 仍然需要时间、背景知识和所有权的 AI 工具
– 对于“仅仅是原型”来说，速度太慢或过于笨重的机构/自由职业者<p>我的看法是：AI 并没有消除原型设计问题，而是把它转移给了那些最没有时间处理这个问题的人。<p>很好奇这是否符合你的经验：
– 你是否真的持续进行原型设计，还是大多是一次性的？
– AI 工具是否完全取代了你对外部帮助的需求？
– 如果你能在几天（而不是几个月）内获得逼真的原型，你会多久使用一次？<p>我真的想了解我是否看到了一个真实的模式——或者只是一个有偏见的视角。
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I keep hearing that prototyping is “solved” now — just use Cursor, Claude, Lovable, etc.<p>But when I talk to people inside real organizations (healthcare, regulated industries, even large non-tech companies), I keep seeing the opposite:<p>There’s no shortage of ideas. There’s a constant backlog of things people want to test — new workflows, internal tools, patient-facing flows, decision support UIs.<p>The bottleneck isn’t creativity. It’s:
– internal IT teams focused on maintenance
– engineers already overloaded
– AI tools that still require time, context, and ownership
– agencies/freelancers that are too slow or heavyweight for “just a prototype”<p>My hot take: AI didn’t eliminate the prototyping problem — it shifted it to the people who have the least time to deal with it.<p>Curious how this matches your experience:
– Do you actually prototype continuously, or is it mostly one-off?
– Have AI tools fully replaced the need for external help for you?
– If you could get realistic prototypes in days (not months), how often would you use that?<p>Genuinely trying to understand whether I’m seeing a real pattern — or just a biased slice of the world.