JapanTech
In person

Engineering Agentic Workflows: A Full-Stack Perspective

Three production-focused talks on engineering agentic workflows: inference loops, agent skills for full-stack dev, and real-world architecture.

When
Tue, May 12, 2026 · 18:00–21:00 JST
Where
Shibuya, Japan
Region
Kanto (Tokyo)
Organizer
Tokyo AI
Language
EN
Source
Luma
Summary
An in-depth technical evening on building production-grade agentic systems, with three back-to-back talks. Shekhar Upadhaya (Skyhost) opens with the fundamentals of inference loops and patterns for long-running agent tasks, walking through a real multi-file refactor. Kaustubh Hiware (Mercari) follows with how to use structured agent skills as building blocks for end-to-end full-stack development, including designing your own skills and self-improving memory patterns. Jeff Yang (Noeon Research) closes with a strategic framework for architecting domain-specific agents in production — comparing scaffolding, workflow patterns, and flexible harnesses, and weighing RAG vs. fine-tuning. Networking follows from 20:00 to 21:00.
About the community

A technical meetup for engineers and architects working on agentic AI, hosted by Tokyo's largest AI community (4,000+ members of engineers, researchers, investors, and PMs).

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