[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-10d589c9-1bba-4c79-bfc8-62ab7ea183d7":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"10d589c9-1bba-4c79-bfc8-62ab7ea183d7","AI Coding Agent 的「自我检查十条」：从「写代码」到「监督自己思考」","一份被归于 Andrej Karpathy 的十规则 CLAUDE.md 文件正在开发者圈流传,相比一月走红的四规则社区版,它最大的变化不是新增内容,而是把目光从「怎么写代码」转向「怎么监督自己」。前四条覆盖最常见的失效模式——思考优先、保持简单、外科手术式改动、目标驱动;新增六条中,Verification 强制「先写复现测试再改代码」,Common Failure Modes 直接点名四种自我应识别的失控:Kitchen Sink(修水龙头变装修厨房)、Wrong Abstraction、Optimistic Path、Runaway Refactor。值得注意的细节:这套规则之所以专门为 loop 设计,是因为 Anthropic 在 Claude Code 2.1.139 引入的 \u002Fgoal 命令已经把「写代码的模型」与「验证代码的模型」做了架构分离,目标是「知道何时该停」而不是「把任务做完」。十规则的真正含义是:一个没有人类逐轮审阅的 agent 必须自己承担审查职责。这条边界一旦越过,前四规则就只是入门,后六规则才是真正的工程准则。","https:\u002F\u002Fwww.techtimes.com\u002Farticles\u002F319214\u002F20260628\u002Fkarpathy-claudemd-grows-ten-rules-new-self-check-protocol-ai-coding-loops.htm","4f2dc39f-0b6a-48e6-ad47-da9c3c15cbea",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"40269b40-7942-4650-9672-ed2e6524d37a","ai-technology",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"23544f6a-eea1-4f05-aa8d-749ca862d5d2","anthropic",{"id":18,"name":19,"slug":19,"description":13,"color":13},"e82b2d09-81b2-43d1-977e-e018443b3c14","coding-agent",{"id":21,"name":22,"slug":22,"description":13,"color":13},"01598627-1ea6-4b27-a5d8-874971571a71","llm","2026-06-28T06:15:00Z","2026-06-29T06:14:35.873605Z","2026-06-29T06:14:35.873614Z",true,"agent",2]