[vJUG CONNECT] Agentic Memory & Structured AI: Scaling Smarter Java Development 2025

📅 Date: Tuesday, October 14, 2025
⏰ Time: 8:45 PM – 10:15 PM EEST
📍 Location:
? Virtual: YouTube Live Stream
? In-person (London): Tessl HQ – register via the LJC Meetup Page

ℹ️ About the Event

The Virtual Java User Group (vJUG) is joining forces with the London Java Community (LJC) for an exciting hybrid edition of vJUG Connect!
This session brings together Java developers from around the globe for an evening filled with cutting-edge AI topics, live demos, and deep technical insight into how Agentic AI and structured prompting are transforming the way we build and scale Java applications.

Expect a combination of structured coding strategies, LangChain4j demos, and agentic thinking frameworks — plus great discussions, community vibes, and pizza (if you’re in London ?).

📢 Agenda

🚀 Session Highlights

1️⃣ Spec Driven Development – Simon Maple (Tessl)
Discover how Spec Driven Development (SDD) replaces chaotic prompting with structured, human-readable specs to enable scalable and testable AI-assisted coding.
Learn through a Spring PetClinic case study how SDD improves collaboration, prevents spec drift, and supports smooth iteration across teams.

ℹ️ About Simon:
Founder of Virtual JUG, Java Champion, Duke’s Choice Award winner, and longtime community leader. Formerly at Snyk, ZeroTurnaround, and IBM.

2️⃣ Using LangChain4j to Make Your Java Apps Smarter – Holly Cummins (IBM/Quarkus)
LangChain4j is emerging as the standard framework for LLM integration in Java.
In this demo-driven talk, Holly explores features like type-safe object mapping, stateful agents, RAG, guard rails, and fault tolerance, showing how Java developers can embed LLMs into real-world enterprise apps.

ℹ️ About Holly:
Senior Principal Software Engineer on the Quarkus team at Red Hat, Java Champion, speaker, and sustainability advocate. hollycummins.com | @holly_cummins

3️⃣ Agentic Memory: Ripples of the Matrix – Andreas Kollegger (Neo4j)
A thought-provoking exploration of memory in AI agents — across time, space, and collaboration.
Understand how multi-agent systems with shared or competitive goals evolve over time, creating emergent “ripples” in digital ecosystems.

ℹ️ About Andreas:
Lead for GenAI Innovation at Neo4j, combining graph technology and AI to model intelligent, context-aware systems.

✨ Join the Global Community

🚀 Join the vJUG Slack to connect with developers, ask questions during live sessions, and network with Java enthusiasts worldwide:
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