About Me

I’m a software engineer who has spent over a decade building and maintaining large-scale distributed systems. I care about making things work reliably at scale — and understanding why they sometimes don’t.

In recent years, I’ve become increasingly interested in how AI changes the way we build software, make decisions, and understand the world around us.

我是一名软件工程师，十年以上的时间都在构建和维护大规模分布式系统。我关心如何让系统在大规模下可靠运行——以及理解它们为什么有时候会出问题。

近几年，我越来越关注 AI 如何改变我们构建软件、做出决策、理解世界的方式。

What I’m Exploring 在探索什么

• Backend Engineering — distributed systems, scalability, and the hard problems that only show up in production.
• AI Applications — not the hype, but the practical side: how AI fits into real products and workflows.
• Running — the most honest feedback loop. No shortcuts, no hacks. You either put in the miles or you don’t.
• Investing — understanding markets as complex adaptive systems. Building rules to manage risk and emotion.
• Psychology — why we make irrational decisions under pressure. Cognitive biases, emotional regulation, self-awareness.
• Reading — the cheapest way to learn from people smarter than me. Books on systems thinking, decision-making, and human behavior.

These topics look unrelated on the surface, but they share a common thread: they’re all about understanding complex systems — whether built with code, driven by markets, or wired into the human brain. The skills transfer. Pattern recognition in distributed systems helps me read market structure. The emotional discipline from running helps me follow trading rules. Psychology explains why good engineers still make bad decisions.

这些话题表面上看起来互不相关，但有一条共同的线索：它们都是在理解复杂系统——无论是用代码构建的、被市场驱动的，还是写进人类大脑的。这些技能是可迁移的。分布式系统中的模式识别帮助我理解市场结构，跑步带来的情绪纪律帮助我遵守交易规则，心理学解释了为什么优秀的工程师仍然会做出糟糕的决定。

My Philosophy 我的理念

I don’t have a manifesto. But a few ideas keep showing up in how I work and think:

• Lifelong Learning — the world changes too fast for any fixed skillset to stay relevant. The ability to learn is the only durable advantage.
• Long-term Thinking — most good outcomes come from patience and compounding, not from optimizing for next week.
• Systems Thinking — individual events are noisy. The system that produces them is the signal.
• Continuous Improvement — small, consistent iterations beat grand plans. Ship, learn, adjust.
• Curiosity — the willingness to ask “why does this work?” even when you’re not required to.

我没有什么宣言。但有几个想法一直出现在我的工作和思考中：

• 终身学习 ——世界变化太快，任何固定的技能组合都无法持续有效。学习能力是唯一持久的优势。
• 长期思维 ——大多数好的结果来自耐心和复利，而不是为下周做优化。
• 系统思维 ——单个事件是噪音，产生它们的系统才是信号。
• 持续改进 ——小而稳定的迭代胜过宏大的计划。交付、学习、调整。
• 好奇心 ——即使没人要求，也愿意问"这为什么能用？"

Why This Website Exists 为什么有这个网站

This is a Digital Garden — a place where ideas are planted, tended, and sometimes pruned. It’s not a blog with polished essays. Not every page represents a finished thought. Some notes are rough drafts, some are works in progress, and some might be wrong.

I maintain this site because writing forces clarity. When I try to explain something — a market thesis, a technical concept, a book that changed my thinking — I discover the gaps in my own understanding. The act of documenting is the act of learning.

这是一个 Digital Garden——一个播种想法、培育想法、有时也修剪想法的地方。它不是一个有精修文章的博客。不是每一页都代表一个完成的想法。有些笔记是草稿，有些还在进行中，有些可能是错的。

我维护这个站点，是因为写作迫使我思考得更清晰。当我试图解释一个市场判断、一个技术概念、一本改变了我思考方式的书时，我会发现自己理解中的漏洞。记录的过程就是学习的过程。

I don’t write because I already have the answers. I write because sharing helps me think more clearly.

我写作不是因为我已经有了答案。 我写作是因为分享帮助我思考得更清晰。