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From Prompt to Productivity, Agentic AI in Practice

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About this event

What to expect

Key value proposition: this Belfast JUG meetup dives into making Agentic AI practical in real Java apps, moving beyond hype to tangible productivity. Attendees will see a hands-on, developer-first walkthrough of implementing Agentic AI in Java using LangChain4J, starting from a simple example and evolving into a repeatable workflow. If you’re a Java developer, AI engineer, or software architect curious about building reliable AI-powered automation, this session offers pragmatic patterns you can apply immediately.

What to expect:

  • Practical, code-focused exploration of Agentic AI in Java with LangChain4J. The talk centers on turning prompts into structured execution and orchestrating tool calls in real apps, not just theoretical concepts.
  • A step-by-step progression from a basic example to a workflow that demonstrates when an agent adds value and when it’s unnecessary complexity.
  • Real-world patterns for tool calling and orchestration, with emphasis on repeatable outcomes and robust behavior instead of “it worked once.”
  • Discussion of how large players (e.g., Citi) are advancing internal GenAI platforms and how those ideas translate into practical engineering work today.
  • A hands-on, engineer-focused session designed to deliver actionable takeaways, with time for Q&A and live coding.

Format and audience:

  • In-person, developer-centric meetup hosted by BelfastJUG in Belfast Belfast.
  • Target audience includes Java developers, AI practitioners, and software engineers who want to build reliable AI-powered workflows.
  • Bring a laptop and be prepared to engage with live coding and practical demos. Prior exposure to Java and basic AI concepts will help, but the session aims to be accessible to motivated learners.

Topics you’ll explore:

  • Implementing Agentic AI in Java: practical approaches for reliable productivity, not hype
  • LangChain4J in action: from a simple example to a production-friendly workflow
  • From prompt to execution: structuring prompts, defining steps, and orchestrating tools
  • When an agent is useful versus when it introduces unnecessary complexity
  • Patterns for robust tool calling and workflow orchestration in real apps
  • Methods to achieve repeatable outcomes and predictable results

Registration and venue:

  • Date and time: Tue, Mar 3, 2026, 6:00 PM local time (Belfast)
  • Location: Belfast (JUG meetup venue – see the Meetup page for exact address and directions)
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