Agentic AI Shanghai Meetup
Everyone can build an agent that demos. Almost nobody can keep one running.
Agentic AI Shanghai Meetup kicks off our Launch Series with the part the tutorials skip: what actually breaks when agents meet real traffic, real users, and real money — and what the people shipping them do about it.
What We'll Cover
Three builders, no slides full of promises — just the messy middle between demo and production. Then short community demos and open Q&A.
Agenda
09:00 — doors & networking
09:30 — why we're here
09:40 — AAIF, Mazin Gilbert
10:00 — TangFeihu, Performance Optimization of Open-Source Large Models for Edge Inference and Multi-Agent Collaboration in the K3 Era., Moonshot
10:20 — Richard, Ant Group
10:40 — Agentic AI, China Mobile
11:00 — Wei Zheng， openJiuwen A2X: Building the Coordination Layer for the Agentic Internet, Huawei
11:20 — Amber Wang , ShiJie Zhang (Apache RocketMQ Maintainer), Li Zhou(Rocket MQ Maintainer), Implementing Agentic Messaging Primitives at Scale：Lessons from Apache RocketMQ, Alibaba Cloud
11:40 — Panel
12:30 — wrap and social till late
Speakers
Mazin Gilbert — Executive Director, AAIF.
Angie Jones — VP, AAIF
Richard Bian — Ambassador, AAIF.
Hui Deng — Ambassador, AAIF.
**** — China Mobile
TangFeihu — Dev Rel@Moonshot AI
Wei Zhang — Huawei
Amber Wang — Alibaba Cloud
Li Zhou — Rocket MQ Maintainer, Alibaba Cloud
Who Should Come
Engineers shipping agents, and anyone who's watched a clean demo fall apart in production. No prerequisites — bring your hardest problem; you'll leave with someone who's solved it.
About AAIF
The Agentic AI Foundation (AAIF) is a community dedicated to advancing the understanding and practical application of agentic AI. We bring together engineers, researchers, founders, builders, and AI enthusiasts to explore how autonomous AI systems are designed, evaluated, and deployed.
Through reading groups, workshops, and community discussions, AAIF brings together engineers, researchers, founders, and AI enthusiasts to exchange ideas, challenge assumptions, and learn from one another.
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