Observes that when code cost approaches zero, building disposable tools for one-off decisions becomes optimal. Argues AI Native means adopting new strategies enabled by collapsed information costs—shifting from intuition-driven to high-resolution, data-driven decisions.
Articles by grapeot
超越DRY:AI原生软件工程的思考
提出用户生成软件需要新的范式。软件公司不再交付成品,而是交付"生成内核"——包括核心套件、引导知识和杠杆工具集,专为AI使用而设计,最大化表达范围、意图保真和生成效率。
Beyond DRY: Thoughts on AI-Native Software Engineering
Proposes that User-Generated Software requires a new paradigm. Instead of finished products, companies deliver "Generative Kernels"—core kits, guiding knowledge, and leverage tools designed for AI to use, maximizing expressive range, intent fidelity, and generation efficiency.
用一次摸鱼经历详解AI管理实战
分享3分钟语音prompt如何让AI完成资深科学家一整天的工作量。详解招聘、任务委托、入职培训、过程指导和产品验收五大管理环节如何释放AI的全部潜力。
A Deep Dive into AI Management from a Slacking-Off Session
Shares how a 3-minute voice prompt led to AI completing a senior scientist's full-day work. Details five management principles—hiring, task delegation, onboarding, process guidance, and product acceptance—that unlock AI's full potential.