Qichang Zheng郑其昌 郑其昌Qichang Zheng
I build the environment AI agents run in — and a platform for developers to orchestrate many agents working together on complex projects. 我为 AI Agent 构建运行环境，也为开发者打造在复杂项目中统筹多个 Agent 协同工作的平台。
AI Agent Platform Engineer, based in Shanghai AI Agent 平台核心开发者，现居上海
About关于
At Qiji Zhifeng in Shanghai I lead the architecture and core development of an AI agent cloud platform, and a team of 10. It is where agents are built, deployed, and run, and it is in production across several deployments. 我在上海奇绩智峰主导 AI Agent 云平台的架构设计与核心开发，并带一支 10 人团队。平台支持构建、部署和运行 AI Agent，已在多个生产环境上线。
I also built a distributed multi-agent collaboration platform on my own. All of my agents are scheduled and work together on it. 我还独立开发了一个分布式的多 Agent 协作平台，我的所有 Agent 都在这个平台上调度协作。
With it, from Sep 19 to Oct 19, 2026: about 1.18 million new lines of code including tests, 56 features shipped, over 138 billion tokens. 近一月（2026.09.19–10.19）借助它新增代码约 118 万行（含测试），上线新功能 56 项，消耗超 1,380 亿 token。
Before that I was an AI Scientist at Devz AI in the US, working on enterprise agents, a general-purpose web agent, and fine-tuned domain LLMs. 在此之前，我在美国 Devz AI 担任 AI Scientist，做企业级 Agent、通用网页智能体和垂类大模型微调。
Work作品
North Agent Cloud
A platform for building, deploying, and running AI agents.构建、部署和运行 AI Agent 的平台。
- Scheduling, sandbox isolation, egress control, credential custody, elastic scaling, end-to-end tracing.调度编排、沙箱隔离、出网管控、凭证托管、弹性伸缩、全链路追踪。
- Runtime and sandbox are decoupled: long, low-load LLM calls and short, high-load tool execution scale separately. Lazy start and automatic reclamation fit about 10x more sandboxes on the same resources.运行时与沙箱分离：长时低负载的模型调用和短时高负载的工具执行各自伸缩；懒启动加自动回收，让同样的资源承载约 10 倍的沙箱。
- The platform’s own built-in features — trajectory analysis, building agents by conversation — are themselves agents running on it.平台内置的轨迹分析、对话式构建 Agent 等功能，本身就是跑在这个平台上的 Agent。
North Sandbox
A multi-tenant sandbox service compatible with the E2B protocol.兼容 E2B 协议的多租户沙箱服务。
- Per-template warm pools bring sandbox acquisition down to milliseconds.按模板预热，沙箱认领降到毫秒级。
- JuiceFS mounts object storage as the sandbox’s working directory: uploading and viewing files go straight to JuiceFS, without starting the sandbox.以 JuiceFS 将对象存储挂载为沙箱工作目录：上传、查看文件等操作直连 JuiceFS，无需启动沙箱。
North Firewall
An egress firewall built specifically for agents, which also runs on its own as a general firewall and proxy.专为 Agent 设计的出网防火墙，也能作为通用的防火墙和代理服务独立使用。
- A transparent, chained forward proxy: iptables intercepts egress traffic transparently, and CA injection with MITM decrypts and audits HTTPS requests.透明的链式正向代理：iptables 透明拦截出网流量，CA 注入与 MITM 解析、审计 HTTPS 请求。
- Credential isolation with Vault: credentials are injected as placeholders, so agents only ever see the placeholder and the exposure surface shrinks to a single gateway.凭证隔离 Vault：凭证以占位符注入，Agent 只接触占位符，泄露面收敛到单一网关。
Agent Team
A distributed platform for running many coding agents in parallel, across machines.分布式调度多 Agent 并行协作的工程平台。
- Schedules and migrates Claude Code and Codex agents across machines, each in its own git worktree and Kubernetes namespace, with message routing between them. In the month to Oct 19, a median of 12 agents ran each day, 35 at peak.跨多台机器调度和迁移 Claude Code / Codex，各自独立的 worktree 和 K8s 命名空间，Agent 之间由平台路由通讯；近一月每天运行 Agent 中位 12 个、峰值 35 个。
- Minute-level patrol and custom Stop hooks catch the failure modes of long-running work, like an agent that says it will keep going and then stops. Nothing counts as done until a second agent has tried to prove it broken.分钟级巡检和自研 Stop hook 治理长程任务的典型失效——比如说了要继续却停下；每项改动都要经另一个 Agent 端到端对抗验证，证伪不了才算完成。
- 2,500+ commits, about 690k lines. Since it went live, my merged pull requests went from about 41 to about 237 a month, and features shipped from 14 to 66.2500+ 次提交、约 69 万行；上线后我个人月均合入 PR 从约 41 个增至约 237 个，交付功能从 14 项增至 66 项。
- Found that macOS VMs never gave freed memory back to the host, and fixed it in libkrun (2.8k stars); merged upstream.定位 macOS 虚拟机内存不归还宿主的问题，为 libkrun（2.8k star）实现空闲页归还和批量回收，已合入上游。
Experience经历
- 2026.03 — now2026.03 — 至今 Qiji Zhifeng奇绩智峰 AI Tech LeadAI 技术负责人
- 2024.08 — 2026.03 Devz AI (US)Devz AI（美国） AI Scientist
Earlier: Prudential Financial, Machine Learning Engineer (Capstone), and Shannon Investment, NLP Engineer, 2023–2024. 更早：Prudential Financial 机器学习工程师（Capstone 项目）、Shannon Investment NLP 工程师，2023–2024。
Education教育
- 2022 — 2024 University of Chicago芝加哥大学 MA in Computational Social Science计算社会科学硕士
- 2018 — 2022 Xi’an Jiaotong-Liverpool University西交利物浦大学 BSc in Economics and Finance经济与金融学士
Get in touch联系我
Shanghai, China中国上海, ， local time 当地时间