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这项由加州大学伯克利分校、多伦多大学圣乔治校区、卡内基梅隆大学及滑铁卢大学等多所机构研究人员共同完成的研究，发表于2026年7月1日的HiLD 2026（第四届高维学习动态研讨会），论文编号为arXiv:2607.01283v1。有兴趣深入了解原始研究的读者，可通过该编号在arXiv平台查阅完整论文。

AI 辅助开发的关键不在 AI 本身的能力，而在于人为 AI 建立的约束体系——通过 Skills 技能包注入领域知识、AGENTS.md 沉淀项目规范、飞轮效应让错误只犯一次，将模糊目标转化为 AI 可精确执行的高质量指令，从提出需求到代码合入，甚至本篇分享也是AI生成。