核心结论1: AI 时代的稀缺资源发生相变——过去几十年我们优化"编码能力"（稀缺），但真正的稀缺是 engineering judgment——知道"什么算好"、"风险是否理解"、"works today 是否能 trust in production"；experienced engineers 不被取代，反而被极度 leverage
关键证据: FOSE 讨论中"spent surprisingly little time talking about coding"——design/architecture/governance/learning 主导；experts 从"自己写每个 feature"翻转为"design guardrails/platforms/practices 让 thousands features 安全被构建"
核心结论2: "Citizens Build, Agents Execute, Experts Govern" 三分法——不是角色分类而是价值流动：Citizens（任何能 turn ideas into working software 的人）+ Agents（执行：write code/refactor/test/fix/iterate）+ Experts（治理：架构/安全/韧性/operability/compliance/cost）
关键证据: Rachel 自陈"I think I was talking about where value is moving, not roles"；FOSE 团队"specification design → agents work → review next morning" 模式
核心结论3: demo 阶段与 production 阶段的鸿沟不在 capability——在 judgment。同一段代码在 demo phase works，但 "is customer data protected? What happens when a dependency fails? Can someone else understand this system in two years? Will it survive an audit? Can it cope with 1000×more users?" 这些问题不出现
关键证据: Rachel 自陈 "I certainly wasn't asking them when I was building my first apps. I only cared about features!"
核心结论4: "Organisations don't run on code. They run on trust."——当 agents 可生成大量 code 时，good design matters more, not less；judgment 的杠杆是因为 decisions 的下游影响放大（千 features 共用 platforms/guardrails）
关键证据: Rachel 引用 FOSE 讨论共识
2. 质疑
关于"engineering judgment 真的稀缺"的归因：Rachel 自己也说"I'm not convinced that was ever the real scarcity"——可能从来都稀缺，只是被 coding scarcity 掩盖。AI 时代 judgment 显形而非新稀缺