As an organizer of Devoxx Belgium, I am passionate about conducting research and development (R&D) that leads to new features in Devoxx-related applications like the CFP web app. In recent years, I have been exploring and experimenting with cutting-edge technologies such as large language models (LLMs), convolutional neural networks (CNNs), and other artificial intelligence (AI) tools. Recently I've been working on the DevoxxGenie IntelliJ plugin which allows you to talk to LLM's both locally and remotely.
As we enter 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 demo the integration of both local and remote LLMs, demonstrating their practical applications in coding assistance, debugging, and even generating entire projects from high-level prompts.
We’ll also explore a new and exciting approach named Test-Driven Generation (TDG), which uses LLMs to align testing and code generation for a streamlined, quality-driven development process.
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