Speaker

As we have entered the era of AI-Augmented Programming (AAP), developers stand at the threshold of a profound shift in software creation and maintenance.

This talk delves into the emerging paradigm where Java and Large Language Models (LLMs) are leveraged to enhance and automate various stages of the development lifecycle.

We'll explore how Java and LLMs are reshaping Integrated Development Environments (IDEs) and transforming developer workflows.

The presentation will showcase the integration of both local LLMs (using llama3.java and jlama) and cloud-based models (such as Claude and ChatGPT) using Jetbrains IDEA. Demonstrating their practical applications in coding assistance, debugging, and even generating entire projects from high-level prompts.

We'll delve into proven architectural patterns for building production-ready AI agents, moving beyond basic prompt engineering to focus on the essential components of robust systems. These include multi-phase reasoning with distinct planning and execution stages, structured prompt management with version control, and the adoption of incremental development practices. Through real-world code examples, we'll demonstrate how these patterns enable the creation of maintainable and reliable agents. This talk is perfect for developers and architects aiming to implement AI systems capable of consistently handling complex workflows. As part of the session, I'll showcase a live demo where AI agents generate and deploy a fully functional web application using prompts alone.