LJC Meetup at Neo4j - Smarter Context, Safer Code: Graphs and AI in Action

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About this event

LJC Meet-ups is a new series of events, aimed at giving all Community members an opportunity to present at an LJC event.

We're excited to invite you to our next Meetup, co-hosted with neo4j!
Join fellow graph enthusiasts, Neo4j developers, and members of the Java community as we explore how graphs, knowledge graphs, and context engineering can unlock smarter applications and better answers.

We’ll also uncover how AI-generated code can be weaponized, exposing hidden vulnerabilities in the software we trust.
Whether you’re curious about building with graph-powered AI or safeguarding your projects from new threats, this meetup will give you insights you can put into practice.

Session 1: AI in Your IDE: Supercharging Java Coding with GitHub Copilot by Ashu Swami

Learn how GitHub Copilot is transforming the Java development workflow inside IntelliJ IDEA. This session highlights Copilot+ibk's hidden gems, from crafting custom instructions and generating intelligent commit messages to performing AI-powered code reviews.

Through live demos, learn how to integrate these features into your daily development to boost productivity, improve code quality, and code with greater ease and confidence. See how AI can truly become your coding partner in the IDE.

BIO:
Ashu Swami is an Oracle Certified Java Professional and holds multiple AWS certifications with over 18 years of experience in software development. She currently works as a Principal Application Engineer at Discover Financial Services, UK, specialising in Java, Spring Boot, RESTful Microservices, and AWS cloud solutions. Ashu has a strong background in the finance and insurance domains, delivering scalable and secure and high-performance enterprise applications. Ashu is a big AI tools enthusiast, passionate about leveraging AI and Cloud technologies to enhance Software delivery and quality.

Session 2: WhatsThat? Using graphs and AI to make sense of your friends WhatsApp group by Martin O'Hanlon

Communication, messaging, and memory are complicated. How are you supposed to keep up with it all? It's difficult for you to keep up with the constant stream of messages you get. How can we expect an LLM to do the same? Let's look at how we can use graphs and AI to summarise the complex streams of messages you get in that oddly titled WhatsApp group.

We look forward to connecting with the community to exchange ideas on graphs, tech, and AI - join the discussion!

Please register on Eventbrite to join this event.