AI keeps getting smarter, but there’s one thing that makes a huge difference in how well it actually works: context.
In this session, Stephen Chin — author of GraphRAG: The Definitive Guide and VP of Developer Relations at Neo4j — will walk us through how context engineering helps AI understand information more reliably. He’ll also show how graph technologies play a key role in building AI systems that can really “connect the dots.”
In the second half, Cassandra Chin — author of Raising Young Coders from Apress — will share her tips for helping kids discover how fun technology can be. Drawing from years of running workshops around the world, she’ll talk about practical ideas you can use with your own kids or any young learners around you.
From the tech behind smarter AI to the approaches that help grow the next generation of creators, this event offers a relaxed but inspiring look at the future of technology.
Join us for a fun and insightful evening!

Schedule

time	detail
19:00～19:05	Opening
19:05～19:55	Context Engineering: Connecting the Dots with Graphs
19:55～20:05	Break
20:05～20:50	Raising Young Coders
20:50～21:00	Closing

Context Engineering: Connecting the Dots with Graphs

AI systems need more than intelligence; they need context. Without it, even the most advanced models can misinterpret information, lose track of details, or arrive at conclusions that don’t hold up. Context engineering is emerging as a discipline that shapes how AI perceives, recalls, and reasons about information.
This talk will explore how context provides the foundation for reasoning, problem solving, and explainability in AI. We will look at techniques such as connected memory, contextual retrieval, and graph-based knowledge representation that give large language models a more reliable way to connect information and draw logical conclusions.
Attendees will come away with a practical understanding of how to design effective context pipelines that align AI with real-world knowledge and user intent, and why context engineering is becoming a central part of building trustworthy and impactful AI systems.

Stephen Chin
Stephen Chin is VP of Developer Relations at Neo4j, conference chair of the LF AI & Data Foundation, and author of numerous titles including the upcoming GraphRAG: The Definitive Guide for O'Reilly. He has given keynotes and main stage talks at numerous conferences around the world including AI Engineer Summit, AI DevSummit, Devoxx, DevNexus, JNation, JavaOne, Shift, Joker, swampUP, and GIDS. Stephen is an avid motorcyclist who has done evangelism tours in Europe, Japan, and Brazil, interviewing developers in their natural habitat. When he is not traveling, he enjoys teaching kids how to do AI, embedded, and robot programming together with his daughters.

Raising Young Coders

Teaching kids programming at a young age is really important to improve diversity in the field of computer science. Studies show that after middle school most students have already made up their mind about a career in computers, so having a positive introduction to computers at a young age is really important. I wrote a book on Raising Young Coders published with Apress to teach tech and non-tech parents how they can inspire their kids to love technology. I also teach workshops for underprivileged kids around the world at events like CNCF Kids Day and want programming to be fun and engaging just like how I learned to program. I will share some of the techniques I use to get kids excited about technology, which you can use to teach your own kids or others.

Cassandra Chin
Cassandra Chin has given keynotes at Devnexus, Devoxx Belgium, and Devoxx Morocco. Her latest book, Raising Young Coders, is published by Apress and helps parents to inspire their kids to love technology. She has been teaching technology kids workshops at international conferences since she was 13 years old and is passionate about helping allow women, minorities, and underprivileged students to learn about technology. Her books have been featured at international events like Kubecon + CloudNativeCon and in popular technology shows like the CUBE and Techstrong TV.