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// NOTES / WORKING VIEWS

判断与想法Notes

这里放不需要写成长文章、但值得留下来的判断、碎碎念和产品想法。它们来自正在做的项目,也允许随着新证据被修订。Judgements, loose thoughts and product ideas that do not need a full article but are worth keeping. They come from projects in progress, and may be revised as new evidence arrives.

04
公开短笔记Public notes
12
关联主题Linked topics
REVISION
允许更新观点Views may change
// WORKING VIEWS

从项目里长出来的判断Views grown out of projects

短笔记不是定论;关联项目用于说明它从哪里来Short notes are not final; linked projects show where they came from
01 / 判断Judgment#

代码生成,不等于软件交付Code generation is not software delivery

AI 把“写出代码”变便宜之后,需求边界、验收、测试、审批、部署和恢复反而变得更重要。Once AI makes writing code cheap, requirement boundaries, acceptance, testing, approval, deployment, and recovery matter more, not less.

我不太关心 Agent 一次能生成多少文件,更关心它做错时能不能停、能不能回滚、下一个人能不能理解发生了什么。I care less about how many files an agent can generate in one pass than about whether it can stop when it is wrong, roll back, and let the next person understand what happened.

真正的工程价值,是把概率性的生成能力装进可观察、可治理的交付系统。The real engineering value lies in fitting probabilistic generation into an observable, governable delivery system.

#AI CodingAI Coding#交付Delivery#AgentAgent
02 / 观点View#

原型最重要的说明,不是“很强”,而是边界The most important thing about a prototype is not "powerful" but its limits

把 MVP、公开原型和稳定工具混在一起展示,会让所有成果都失去可信度。Showing MVPs, public prototypes, and stable tools as if they were the same thing makes every result lose credibility.

我更愿意明确写出没有 CI、没有数据集、只支持单机,或者尚未做过真实场景验证。I would rather state plainly that something has no CI, no dataset, runs on a single machine only, or has never been tested in a real setting.

限制不是减分项。对技术工作来说,知道结论在哪些条件下不成立,本身就是能力。Limitations are not a deduction. For technical work, knowing under what conditions a conclusion fails is itself a capability.

#开源Open source#验证Validation#产品Product
03 / 研究判断Research judgment#

Agent 越能干,越需要最小权限The more capable an agent, the more it needs least privilege

工具调用、浏览、文件写入和长期记忆放大了能力,也放大了提示注入与误操作的影响。Tool calls, browsing, file writes, and long-term memory magnify capability and, with it, the impact of prompt injection and mistakes.

“模型会不会被注入”很重要,但更重要的问题是:被注入以后,它到底拿得到什么、改得了什么。Whether a model can be injected matters, but the more important question is what it can actually reach and change once it has been.

因此我会把能力装配、审批、输出过滤、备份恢复看成同一套 Agent 安全边界。So I treat capability assembly, approval, output filtering, and backup and recovery as one agent security boundary.

#Agent SecurityAgent Security#MCPMCP#最小权限Least privilege
04 / 产品想法Product idea#

好的 AI 工具,不应该替你放弃判断A good AI tool should not ask you to give up judgment

如果一个工具只帮人更快地产生结果,却没有帮助理解为什么,它也在制造新的脆弱性。If a tool only helps people produce results faster without helping them understand why, it is creating new fragility.

我更喜欢把复杂工程问题翻译成用户能理解、能选择、能亲手完成的小步骤。I prefer translating complex engineering problems into small steps users can understand, choose between, and complete themselves.

工具可以给建议和护栏,但关键判断应该逐渐回到使用者自己手里。A tool can offer suggestions and guardrails, but the key judgments should gradually return to the person using it.

#AI 产品AI products#学习Learning#工程思维Engineering thinking