Monthly Meetup: Build AI agents & agentic workflows with LangChain4J-CDI Agentic

Agenda:

• 17:00 - Doors Open for Drinks and Snacks and Mingle
• 18:00 - Introduction
• 18:15 - Speaker 1: Aphiwe Vuba - Concurrency Without the Complexity: Unleashing Virtual Threads (Project Loom)
• 19:00 - Small break
• 19:15 - Speaker 2: Buhake Sindi - Create Agentic AI workflows and orchestration using LangChain4J-CDI
• 20:00 - 20:30 - More mingling and close.

Venue: Entelect
We ask that you do not RSVP Yes if you are not sure you will be able to attend. We would not want somebody to loose out on the opportunity seeing that seats are limited.

Important Notes:
Parking is available at their visitor's parking. Turn right at the bottom of Short Street.

Details:
Speaker: Aphiwe Viba
Talk: Concurrency Without the Complexity: Unleashing Virtual Threads (Project Loom)

Abstract:
For years, scaling Java applications to handle massive, high-throughput traffic meant making a brutal choice: burn through expensive OS threads, or rewrite your entire codebase using complex, hard-to-debug asynchronous and reactive frameworks.

That era is officially over. With the arrival of Virtual Threads (Project Loom), Java introduces a lightweight, concurrency model that gives you the best of both worlds, millions of threads running on a single JVM using simple, synchronous, easy-to-read imperative code.

In this talk, we will demystify how virtual threads work under the hood, explore how they handle blocking I/O, and look at practical strategies for integrating them into your applications. Say goodbye to callback hell and complex reactive plumbing, and hello to effortless scale.

Speaker
Aphiwe Viba is a software engineer in training and a student at WeThinkCode.

Social media links:
LinkedIn: https://www.linkedin.com/in/aphiwe-ashly-vuba-11a576283/
GitHub: https://github.com/AshlyVuba

***
Details:
Speaker: Buhake Sindi
Talk: Create Agentic AI workflows and orechestration using LangChain4J-CDI

Abstract:
Java developers are now familiar with AI, and with the introduction of Anthropic's Agentic patterns, it's now simpler to build AI agents and orchestrate AI workflows using LangChain4J (a now popular, widely accepted AI library in Java).

Now, with LangChain4J-CDI, a subproject of LangChain4J - powered by CDI, it introduces LangChain4J Agentic.
Developers can build AI Agents, and orchestrate Agentic workflows by just annotating their AI services, just the same way you would an existing AI service.
All developers have to do is just inject it on their existing business service.

In this talk, we'll walk through all the Agentic patterns that LangChain4J provides, how to declaratively build your AI agents and workflows and let LangChain4J build your agents and orchestrations automatically.

Speaker
Buhake Sindi brings over 19 years of experience as a Senior Solutions Architect & Developer, specialising in Java Enterprise technology stacks. His extensive background in coding, design, and problem-solving is complemented by his role as a skilled DevOps Engineer, with 10+ years of hands-on experience in optimising and automating deployments. Buhake excels in translating project requirements into technical specifications and delivering robust, scalable solutions. His passion for technology and ability to communicate complex concepts clearly have made him a sought-after technical speaker and writer. Buhake's dedication to mentoring and guiding developers positions him as an influential advocate for cutting-edge development practices in corporate environments.

Social media links:
LinkedIn: https://www.linkedin.com/in/buhake-sindi/
GitHub: https://github.com/TheEliteGentleman

***
Social media links:
Twitter/X: @jozijug
Facebook: https://www.facebook.com/groups/jozijug/

The Jozi Java User Group (Jozi-JUG) is dedicated to a harassment-free experience for everyone. Our anti-harassment policy can be found here (https://github.com/Jozi-JUG/constitution/blob/master/anti_harassment_policy.txt)