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Exploring Java OSS with LLMs: A New Way to Approach Open-Source Code Reading
Originally aired:
About the Session
Reading and understanding large Java OSS (open-source software) projects can be challenging for many developers, especially when navigating unfamiliar, vast codebases. This session introduces a new approach to OSS code reading by leveraging LLM-powered AI assistants like ChatGPT and Claude.
Large Language Models (LLMs) can assist developers by providing contextual explanations, identifying key entry points, and offering insights into how different parts of the code interact. We’ll explore practical examples using popular Java OSS projects like Spring Boot, demonstrating how AI chat assistants can accelerate comprehension and make complex codebases more accessible.
Whether you're a beginner in open-source or an experienced developer seeking to improve your code-reading strategies, this talk will show how AI tools can be invaluable companions in breaking down intimidating codebases and uncovering valuable insights. Discover how AI-guided exploration can transform the way you approach and understand Java OSS projects.
Target Audience: This session is primarily aimed at Java Developers working with or contributing to large OSS projects, as it offers innovative ways to navigate and comprehend complex codebases using AI tools. Back-end Developers and Open-Source Contributors will find value in learning how LLMs can enhance their productivity and code-reading strategies. Software Architects overseeing large-scale projects may also benefit from understanding how AI-guided code exploration can improve team efficiency and collaboration when working with open-source technologies.
Exploring Java OSS with LLMs: A New Way to Approach Open-Source Code Reading
Originally aired:
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