Quarkus at the Great International Developer Summit (GIDS) in 2025

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Event Description: Join the sixteenth annual edition of the Great International Software Developer Summit, GIDS 2025, April 25-28 in Bangalore, India. The four-day program includes an eclectic mix of technical talks, conversations and experiences, featuring some of the most talented and influential figures in the industries.

Date: April 22-25, 2025
Location: Bangalore, India
Event Type: In Person

https://developersummit.com/

Sessions

Supercharge Agentic AI Apps: A DevEx-Driven Approach to Cloud-Native Scaffolding
Speaker(s): Daniel Oh
Day/Time: Tuesday, April 22nd
Abstract: Agentic AI is revolutionizing how we create intelligent agents that can interact with the real world. However, building and deploying these systems often comes with significant complexity and time investment. This demo-driven session introduces a cloud-native scaffolding approach, leveraging software templates to streamline and simplify the development of agentic AI projects. The result? A more efficient and developer-friendly experience.

Through live demonstrations, attendees will see firsthand how this innovative scaffolding framework:

• Accelerates the development lifecycle of agentic AI applications.
• Provides automated code generation and pre-configured infrastructure.
• Seamlessly integrates with popular AI libraries, reducing overhead and complexity.

Key features and tools will be highlighted, showing how developers can save time while creating scalable and robust intelligent agents. By the end of the session, participants will have a clear understanding of how to adopt cloud-native scaffolding to revolutionize their development process and practical skills to drive innovation in their projects.

Target Audience: This session is ideal for AI Developers and Cloud Engineers aiming to optimize their workflows for building agentic AI applications. Software Architects interested in simplifying agent deployment strategies and DevOps Engineers focused on automating and scaling AI applications in cloud environments will also find significant value in this approach.

Scaling AI with Java: Building Production-Ready LLM Applications
Speaker(s): Daniel Oh
Day/Time: Wednesday, April 23rd
Abstract: Large Language Models (LLMs) are transforming industries with their powerful capabilities. Java, as a versatile and widely adopted programming language, provides a robust platform for building scalable and production-ready LLM applications. This session delves into the unique challenges and opportunities of leveraging Java to develop AI systems that meet real-world demands.

Key topics will include:

• Performance Optimization: Techniques for enhancing model inference speed and efficiency.
• Resource Management: Strategies to handle large datasets and computational resource constraints.
• System Integration: Best practices for incorporating LLM applications into existing Java-based ecosystems.
• Reliability and Scalability: Ensuring that LLM deployments are robust and can handle increasing workloads.
• Fine-Tuning and Evaluation: Methods for optimizing models to deliver exceptional accuracy and performance.

Attendees will gain practical insights into designing, architecting, and deploying production-ready LLM applications using Java. Whether it's managing computational resources or optimizing data pipelines, this session will provide a roadmap for creating AI systems that solve complex problems while driving innovation.

By the end of this talk, participants will have the tools and knowledge to build scalable, efficient, and reliable LLM systems tailored to their organizational needs. Whether you are an experienced Java developer or exploring AI for the first time, this session offers valuable guidance for your journey into LLM development.

Target Audience: This session is tailored for Java Developers, AI Engineers, and Software Architects looking to implement or optimize LLM applications. Tech Leads and Innovation Managers interested in deploying scalable AI solutions in production environments will also benefit from the strategies and insights shared.