Two Weeks of Self-Hosting CJK Fonts: From Lighthouse to CLReq

The process of turning a Chinese blog's font optimization into a two-week project: self-hosting Source Han Sans, frequency-bucketed slicing, a build-time replacement for Heti. Along the way, the metric distortion of Lighthouse, the seventy-year gap behind CLReq, the non-overlapping CJK gaps of three browser engines — the conclusion is that the real difficulty isn't the fonts.

My Digital Legacy Architecture: A Personal Manifesto for Weathering Technological Tides

Faced with platform lock-in and technical churn, I set out to design a personal knowledge-base architecture that could survive for decades. This article shares a four-layer blueprint—built on composability, data ownership, and total decoupling—that I chose after ten years of “digital nomadism” to create a truly free and controllable online home.

8 Hours and 2,000 Lines of Code: A Blog-Category Tool’s Runaway Journey

What was meant to be a five-minute script to fix category typos on a blog ballooned into a 2,000-line TypeScript project with layered architecture and production-grade features. This deep dive retraces that episode of overengineering and explores how to turn the passion for technology—and the process itself—into valuable knowledge assets.

A Title in Rainbow Gradient

When AI becomes a coding partner, developers split into two completely different collaboration modes: the “delegator,” who gives AI complete trust, and the “conductor,” who pursues ultimate control. This article delves into these two modes' conflicts, trade-offs, and outcomes through a real website-building story.

AI’s “Smell Test”: From Outcome Supervision to Process Supervision—How Do We Teach Machines to Truly Think?

Terence Tao’s “smell test” pinpoints the core dilemma of today’s AI: superb at imitation yet short on genuine reasoning. This article explores how the scarcity of process data has become a bottleneck and follows the journey of process supervision from an expensive theory to a generative, self‑evolving practice—illuminating a pathway toward truly thinking machines.