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恰好路过,欢迎来到我的数字花园
我是 汤耀月。在这里,我记录技术探索、工程实践以及对复杂系统与人机交互的思考。
我是一名 AI 产品经理与技术工程师。享受将逻辑架构转化为可运行的系统的全过程。
我在研究与构建什么?
- AI Agent & 架构设计:专注于多智能体协作机制(Multi-Agent System)、上下文工程(Context Protocols)以及基于类似 Obsidian 动态知识图谱的生长形态知识架构。比起静态的文档检索,我更看重知识节点的自我演进与关联增长。
- 人机交互与极简工程:对 CLI/TUI(命令行与文本用户界面)有天然的偏好,同时也在探索 AI 原生的界面自动化生成与现代极简前端设计。
- 技术栈与工程落地:工程实践主要基于 TypeScript / Fastify / Python / SQLite。
探索与偏好
- 系统论与宏观历史:偏好以控制论和结构主义的视角观察复杂系统,金观涛先生的宏观历史结构分析是我重要的思考参照。
- 跑道上的自律:跑步是我重置思维的方式,长跑让我保持清醒的节奏与专注度。
- 极客主义:追求无冗余的接口、极简的界面与高效的交互体验。
“Stay structural, stay simple.”
Just passing by — welcome to my digital garden
I'm Tang Yaoyue. Here I document technical explorations, engineering practice, and thoughts on complex systems and human-computer interaction.
I'm an AI product manager and technical engineer. I enjoy the whole process of turning logical architecture into running systems.
What I'm researching & building
- AI Agent & Architecture Design: focused on multi-agent collaboration (Multi-Agent System), context engineering (Context Protocols), and knowledge architectures that grow like dynamic knowledge graphs à la Obsidian. More than static document retrieval, I value knowledge nodes that self-evolve and interlink.
- HCI & Minimalist Engineering: a natural preference for CLI/TUI, and exploring AI-native interface auto-generation and modern minimalist frontend design.
- Tech Stack & Delivery: engineering practice built mainly on TypeScript / Fastify / Python / SQLite.
Explorations & preferences
- Systems theory & macro-history: observing complex systems through cybernetics and structuralism; Jin Guantao's macro-historical structural analysis is an important reference of mine.
- Discipline on the track: running is how I reset my mind; long-distance running keeps me in a clear rhythm and focused.
- Geekism: chasing redundancy-free interfaces, minimalist UIs, and efficient interactions.
“Stay structural, stay simple.”
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从 Datawhale 秋训营到 Agent 框架,最近写下的内容。
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