分析AI学习者的四道流失阶梯，提出用工程化平台消除配置、实验、部署等摩擦，让学员专注于核心技能练习。介绍AI Builder Space如何通过统一API、一键部署和MCP自动化实现这一目标。
Articles in the Computing category
Why AI Education Should Go Beyond Content Creation to Engineering Infrastructure
Analyzes the four-step attrition ladder in AI learning and proposes using engineering platforms to eliminate configuration, experimentation, and deployment friction. Introduces AI Builder Space's unified API, one-click deployment, and MCP automation.
从过程确定性到结果确定性：AI 时代的另一种安全感
用Claude Code替代API调用做翻译任务：利用agentic loop实现自我纠错，用evaluation-first定义验收标准，从过程确定性转向结果确定性获得新的安全感。
From Process Certainty to Outcome Certainty: A Different Kind of Confidence in the Age of AI
Why handing translation to Claude Code works better than calling APIs directly - leveraging the agentic loop, evaluation-first mindset, and the ecosystem's runtime layer to achieve outcome certainty over process certainty.
使用Nano Banana Pro生成整套PPT：疯狂，挑战和工作流
从拼凑到整体渲染的PPT制作范式转移，以及如何用代码骨架、资产约束和延迟渲染构建解决风格混乱、幻觉和成本问题的Generative Kernel。