1) Demystify Model Context Protocol (MCP) With Spring AI 2) Java Build Tool Exp

Are you tired of unpredictable AI responses breaking your Java applications? Ready to harness the true power of LLMs in your Spring projects? This is the workshop you've been waiting for! Miya will unveil how Spring AI and the Model Context Protocol (MCP) are revolutionizing the way Java developers interact with large language models. In this hands-on session, you'll discover: - The game-changing capabilities of MCP for extracting structured data from AI responses - How Spring AI elegantly simplifies complex LLM interactions with minimal boilerplate - Practical techniques to build enterprise-grade AI features that won't break in production - Live coding demonstrations showing MCP in action with real-world use cases **What sets this workshop apart?** Unlike theoretical overviews, Miya will guide you through actual implementation patterns you can apply immediately in your projects. All workshop materials, sample code, and additional resources will be available on Miya's GitHub repository, allowing you to continue exploring after the session. Whether you're a seasoned Spring developer curious about AI integration or just starting your journey with language models, this workshop provides the perfect balance of accessible concepts and advanced techniques. Don't miss this opportunity to position yourself at the forefront of Java's AI revolution! Bring your laptop and leave with the skills to build smarter, more reliable AI-powered Spring applications.
Bio: Miya W. Longwe is a passionate Java developer, technology evangelist and philanthropist. His 20+ years’ software development career spans diverse industries from big pharma to small start-up software companies. His research interests include ML\AI engineering, event-driven microservices and test driven development.

Occasionally, Miya can be spotted with his family fishing the water of South Shore

Title: Untapped Potential in the Java Build Tool Experience
Abstract: The Java language is known to be fast, safe, and easy, but Java build tools like Maven or Gradle sometimes don't quite live up to that standard. This talk will explore what "could be": where current Java build tools fall behind modern build tools in other communities, in performance, extensibility, and ease of getting started. We will end with a demonstration of an experimental build tool "Mill" that makes use of these ideas, proving out the idea that Java build tooling has the potential to be much faster, safer, and easier than it is today.

Bio: Haoyi Li
Haoyi graduated from MIT, has built infrastructure for high-growth companies like Dropbox and Databricks, and has been a major contributor to the open source community with a focus on developer tools. Haoyi has deep experience in the JVM and related technologies, and has used it professionally to build cloud infrastructure, distributed backend systems, programming languages, high-performance web applications, and much more.