Guo Qiang

Guo Qiang Logo

你好!我是 Guo Qiang,一名专注高确定性系统与一手实现的 Product Engineer。曾负责 GitLab (CN) SaaS 与研发基建,并在 哔哩哔哩携程 等平台深耕高并发架构与核心业务增长。

我的关注点始终在于复杂系统抽象、状态编排与真实商业约束的闭环统一

在 AI 时代,我践行 AI Pair Programming 与“干中学”:告别浮于表面的 Prompt 抽卡,专注于端侧 DAG 调度引擎、本地 Agent 工具链与确定性系统的构建。让业务场景定义关键架构,让 AI 启发底层规约与死锁排查,并通过极限压测完成工程闭环。

Hi there! I'm Guo Qiang, a Product Engineer focused on deterministic systems and hands-on craftsmanship. Previously led GitLab (CN) SaaS & platform engineering, and scaled high-concurrency systems and core growth funnels at Bilibili and Ctrip.

My craft centers on the convergence of complex system abstractions, state orchestration, and grounded commercial reality.

In this AI era, I practice AI Pair Programming and "Learning by Doing"—moving far beyond superficial chat wrappers toward client-side DAG engines, local agent primitives, and deterministic architectures. Workflows define critical architecture, AI reveals edge contracts & deadlock hazards, and rigorous stress testing closes the loop.

GitLab
产品负责人 Head of Product GITLAB
负责 GitLab SaaS(CN)、Ops、市场商务合作,跨时区合作,增长黑客等。 Responsible for GitLab SaaS (CN), Ops, strategic commercial partnerships, cross-timezone collaboration, and growth hacking.
Bilibili
移动主站产品 Mobile Product Lead BILIBILI
负责 Bilibili 移动站、移动商务需求。 Leading Bilibili Mobile Web platform & mobile commercial requirements.
Ctrip
产品经理 · 增长黑客 Product Manager · Growth CTRIP
负责移动营销需求包含 分销、APP 推广、SEO、SEM、广告平台/API 平台、订单流程优化等。 Leading mobile growth: distribution, App growth, SEO/SEM, Ad/API platforms, checkout flow optimization.
产品工程 PRODUCT ENGINEERING
确定性系统 DETERMINISTIC SYSTEMS
AI 原生工作流 AI-NATIVE WORKFLOW
一手构建 HANDS-ON BUILDER
分布式体系 DISTRIBUTED SYSTEMS
VIBE CODING
VIBE CODING • METAPHYSICS • RAPID PROTOTYPES • EXPERIMENTS • CODE SKETCHES • AI TOOLS •  VIBE CODING • METAPHYSICS • RAPID PROTOTYPES • EXPERIMENTS • CODE SKETCHES • AI TOOLS • 

Vibe
Coding

基于直觉与 AI 协同构建的实验工具、玄学计算与代码原型合集。 A curated collection of rapid AI prototypes, metaphysics tools, and computational experiments.

WRITINGS • ARTICLES • AI-NATIVE PARADIGMS • REMOTE WORKFLOW • TECH PRACTICES •  WRITINGS • ARTICLES • AI-NATIVE PARADIGMS • REMOTE WORKFLOW • TECH PRACTICES • 
Communication Protocol 2026-09-23

语义丢包:当严谨理性撞上情绪感知 Semantic Packet Loss: When Strict Rationality Meets Emotional Perception

从开源协同中一句‘说人话’引发的断联风波切入,深入拆解技术人员与大众协作中的‘语义丢包’现象:为什么事实与逻辑常被情绪防御机制率先拦截?组织架构中为何必须保留产品经理这一‘阻抗匹配器’?面对陌生人协作的语境撕裂,如何建立‘退守安全协议’的确定性防护体系。 Analyzing 'semantic packet loss' in open-source and professional collaboration: why raw logic and bug fixes get blocked by biological emotional defense mechanisms, why product engineers must act as impedance matchers between high-voltage engineering and low-voltage business, and how to adopt safe handshake protocols for resilient stranger collaboration.

Zero Trust 2026-09-23

谁来为大模型的失控与手滑兜底?一个 Product Engineer 的「零信任」数字生存反思 Who Shields You from Model Drift and Human Slips? A Product Engineer's Zero-Trust Reflection

面对代码工具隐蔽上传源码与实习生将敏感数据误传网盘的现实,将核心资产寄托于中心化黑盒或人肉自律是一场高危豪赌。本文从资深 Product Engineer 视角,解构防外部、防内部、更防自己手滑的零信任体系:依托端侧主权(Local-First)与确定性 DAG 白盒状态机,让大模型在白盒铁轨上安全做功。 Relying on centralized black boxes or human diligence for mission-critical assets is a high-stakes gamble. From a Product Engineer perspective, this article explores zero-trust governance that guards against external leaks, internal negligence, and human slip-ups: using local-first sovereignty and deterministic DAG state machines to keep LLMs strictly on white-box rails.

Runtime Safety 2026-09-22

从 0 到 1 打造 AI 提示流编排器:别让 Agent 刷爆你的信用卡!运行时看门狗与死循环熔断器设计(开源系列 13) Building AI Prompt Orchestrator: Taming the Rogue Agent — Runtime Watchdogs & Deadlock Circuit Breakers

放任自主 Agent 缺乏物理约束地自由发挥,往往是深夜账单雪崩与主线程僵死的开始。本文深度拆解 PatchCat 如何在 AI 工作流编排中构建四重运行时防御纵深架构(Token 预算硬顶、调用签名指纹阶梯熔断状态机、Web Worker 5s 沙箱看门狗与 AbortSignal.timeout 网络中断、集中式安全参数契约与敏感凭据递归脱敏),攻克死循环与挂起卡点,达成 223+ 项自动化测试 100% 通过、毫秒级优雅阻断与零凭据外泄的量化指标,用确定性工程契约驯服脱缰的大模型。 Unchecked autonomous agents often trigger midnight token billing spikes and browser main-thread deadlocks. This article deconstructs PatchCat's four-tier runtime defense-in-depth architecture for AI workflow orchestration: real-time token budget ceiling, fingerprint-based graduated circuit breakers (soft reflection hint to hard trip), 5s Web Worker sandbox watchdog & AbortSignal.timeout network kill switch, and credential-sanitized configuration exports. Validated across 223+ automated tests with 100% pass rate, delivering sub-millisecond graceful termination and zero credential leakage.

Edge Computing 2026-09-22

从 0 到 1 打造 AI 提示流编排器:把 AI 引擎塞进华硕路由器!Merlin 插件与轻量边缘网关实战(开源系列 12) Building AI Prompt Orchestrator: Embedding AI into ASUS Routers — Merlin Plugin & Lightweight Edge Gateway

一方面为了实测 PatchCat 在极端严苛资源下的轻量运行极限,另一方面源于作者长期折腾路由器插件的极客情怀。深度复盘如何将 AI 工作流编排引擎塞进华硕 RT-AX86U 路由器:纯 Go 打造 3MB 零依赖边缘网关,攻克板载 NAND 闪存磨损致命隐患,让家庭局域网秒变免 PC 常开的私有 AI 编排中枢。 Exploring the extreme resource boundaries of PatchCat while indulging in a long-standing passion for router firmware tweaking. A deep dive into porting an AI workflow orchestrator onto an ASUS RT-AX86U router: building a 3MB zero-dependency Go edge gateway, mitigating NAND flash wear-out risks, and turning a home network into an always-on AI automation hub.

GEO Architecture 2026-09-20

从 SEO 到 GEO:大模型时代的个人站点语义图谱与生成式引擎优化实战 From SEO to GEO: Semantic Graph Interlocking & Generative Engine Optimization

大模型时代,技术决策与信息免费分发链路发生质的颠覆。深度复盘本站如何通过 Schema.org 实体消歧、高熵特征词、双层 LLM 上下文协议与机器自发现三重冗余,实现完整的 GEO(生成式引擎优化)工程落地。 Deconstructing the paradigm shift from traditional SEO to Generative Engine Optimization (GEO): Schema.org entity disambiguation, high-entropy prompt recall tags, dual-tier LLM protocol sync, and triple discovery redundancy.

Canvas Ergonomics 2026-09-19

从 0 到 1 打造 AI 提示流编排器:鞋里有沙走不远,怎么让画布连线真正顺手?(开源系列 11) Building AI Prompt Orchestrator: Canvas Ergonomics — Drop-to-Add, Spatial Collision Avoidance & Undo

真正的生产力工具,绝不仅仅是把功能堆齐,更要保护好使用者的思路不被打断。深度拆解 PatchCat 如何把思维导图的丝滑感搬上大模型画布:攻克连线松手缩回之痛,用长方形防撞规则(AABB)自动避让和换行,并把加节点与连线绑在一起撤销干净。 A deep dive into PatchCat's canvas ergonomics: transforming brittle drag-and-drop into fluid orchestration with Drop-to-Add connection release, AABB spatial collision avoidance, and clean atomic undo/redo history management.

PROFESSIONAL EXPERIENCE • CAREER ROADMAP • ENTERPRISE SAAS • TECHNICAL PRODUCT LEAD •  PROFESSIONAL EXPERIENCE • CAREER ROADMAP • ENTERPRISE SAAS • TECHNICAL PRODUCT LEAD • 

Work

十年以上技术与平台产品经验,覆盖企业级 SaaS、大流量平台与 AI 工作流。 10+ years of technical & platform product management across enterprise SaaS, high-traffic systems, and AI workflows.

2024.09 – PRESENT

喵嗷呜科技工作室 Miaoawu Tech Studio

联合创始人 / 技术产品负责人 Co-founder / Tech Product Lead
主导企业级 AI Agentic Workflow 与自动化工具链搭建,基于 LLM API、n8n 构建自动化流水线,设计跨平台数据同步与统一 API 接口。 Architected enterprise AI automation pipelines & agentic workflows (LLM APIs, n8n), unified cross-platform API contracts, and managed rapid agile prototypes.
2022.02 – 2024.09

极狐 GitLab JiHu (GitLab)

产品专家 / SaaS 与平台产品负责人 Senior Product Manager / Product Specialist
主导中国区 SaaS 平台与本地化企业版产品规划,管理跨时区国际化分布式产研协同,推动路线图制定与高可用企业级功能端到端交付。 Owned product planning and quarterly roadmaps for China SaaS & Self-Managed enterprise editions, coordinating multi-timezone international R&D teams.
2019.08 – 2022.02

上海仙泽分析仪器 Shanghai Xianze Analytical Instruments

软件与平台产品负责人 Software & Platform Product Lead
面向科研与工业实验室场景,主导高精度光谱分析工作站软件与 SaaS 数据平台的产品架构与交付,搭建 Jira 敏捷管理体系。 Led product architecture and delivery for optical workstation software and laboratory SaaS data platforms, standardizing Jira-based agile workflows.
2018.06 – 2019.05

上海钦文网络科技 Shanghai Qinwen Network Technology

高级产品经理 Senior Product Manager
通过全流程 A/B 测试优化用户注册与付费转化链路,结合精细化用户分层运营策略,推动注册转化率提升 30%+,DAU 提升 20%+。 Designed end-to-end A/B tests to optimize registration and onboarding funnels, boosting conversion rate by 30%+ and DAU by 20%+.
2016.09 – 2018.03

哔哩哔哩 (Bilibili) Bilibili

高级产品经理 Senior Product Manager
负责移动主站跨端组件与 Hybrid 架构升级,确保大流量峰值下的系统流畅度与交付一致性;搭建全栈转化漏斗与埋点监控指标体系。 Deployed cross-platform UI frameworks and Hybrid infrastructures for peak traffic; established full-stack event tracking and funnel monitoring metrics.
2014.03 – 2016.03

携程 (Ctrip) Ctrip

产品经理 (营销与技术平台) Product Manager (Technology PM / Marketing)
主导 APP 深度链接(Deep Linking)与 URI 路由标准化系统重构,使全站订单转化率提升 70%~80%;规划原生广告全生命周期看板与标准化营销 API。 Spearheaded APP Deep Linking & URI routing overhaul, boosting order conversion rate by 70%~80%; designed marketing automation APIs and real-time dashboards.
2012.07 – 2014.01

北京联银通科技 (上海农商银行) Beijing Lianyintong Tech (SRCB)

软件工程师 Software Engineer
负责银行核心数据聚合平台(DCP)的后端开发、接口编写、自动化测试与生产环境部署,积累扎实的底层软件架构与数据处理经验。 Developed backend data aggregation modules and automated test pipelines for core banking platforms, building a solid software architecture foundation.

About
The
Process

站在产品设计、前沿技术与商业逻辑的交汇点,我专注于将复杂的业务系统与模糊的需求,转化为清晰、确定且具有商业价值的决策路径。

我将设计视作一种决策结构,将AI 与自动化技术视作人类判断力与直觉创造力的倍增器;而商业约束则是打磨创新的磨刀石,而非创新的枷锁。

目前,我正致力于验证 "Local Business Stability + Global Remote Nomadism" 的混合运作模式,持续探索自由与专注并存的独立数字空间。

Working at the intersection of product design, technology, and business strategy, I focus on turning complex systems into clear decisions that align user needs, technical possibilities, and commercial intent.

I see design as a decision-making structure, AI & technology as a multiplier of human judgment and creativity, and business constraints as parameters that sharpen, rather than limit, innovation.

Currently validating the hybrid model of "Local Business Stability + Global Remote Nomadism", exploring the frontiers of sovereign digital workflows.