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
- Where
- Shibuya, Japan·In person
- Region
- Kanto (Tokyo)
- Organizer
- Tokyo AI
- Language
- EN
- Source
- Luma
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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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