An engineering notebook on AI, systems, and everyday experiments.

观察到AI使编程从"没办法才用"变成解决问题的首选方法，同时支持个性化的实战学习。认为AI对IT的深远影响体现在编程民主化和学习方式的根本变革，让更多人能高效掌握技术技能。

Observes that AI elevates programming from last resort to first-class problem-solving method and enables personalized, hands-on learning. Argues AI's impact on IT is democratization of programming and transformation of how we acquire technical skills.

记录将AI接入天文摄影机器人系统的实验。探讨安全性与灵活性的权衡，通过Python类封装、AST解析和沙箱机制，在防止恶意代码的同时让AI安全地控制望远镜设备。

Documents an experiment connecting AI to astrophotography robotics. Explores the security-flexibility tradeoff, using Python with class encapsulation, AST parsing, and sandboxing to safely let AI control telescope equipment while preventing malicious code execution.

天文摄影自动对焦算法思考：用信息熵代替星点拟合描述对焦质量，加权曲线拟合优先考虑合焦点附近数据，实现稳定精确的自动对焦。

Apple Vision Pro深度体验评测：分析其作为VR设备的真实定位，探讨适合与不适合的使用场景，以及在日常工作和创作中的实用价值。

A two-week deep dive into Apple Vision Pro reveals it's fundamentally a VR device, not AR. Excels at hands-free scenarios like lying down, exercising, or multitasking with multiple windows, but falls short for office work and VR viewing due to limitations in text density and format support.

A real-world case study of building a complete astronomical observatory notification system in 8 hours using AI assistance. Explores how GPT-4 and Copilot can dramatically boost software engineering productivity across monitoring, server, iOS, and design tasks.

以远程天文台监控系统为例，分享如何在8小时内用AI完成原本需要团队数天的全栈开发。探讨GPT-4和Copilot如何跨越监控端、服务器端、模型训练和iOS客户端提升软件工程效率。

用二维坐标系（浓度×口味）分析浓缩咖啡的变量控制，阐述研磨、烘焙、水温、压力、粉碗等参数如何影响最终口感，总结好设备的一致性、能力范围和精度要求。