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Explore how Large Language Models (LLMs) can enhance Qt-based user interface development in this keynote presentation from Qt World Summit 2025. Examine the critical factors that influence QML coding performance when using AI assistants, including their effectiveness for expert advice and code completion tasks. Compare different LLMs based on their QML coding capabilities, transparency of training data, and various deployment models to understand how these elements impact developer adoption of AI tools in Qt development workflows. Learn from Peter Schneider, Senior Product Lead for AI at Qt Group, as he analyzes the current landscape of AI assistants and their practical applications in Qt UI development, providing insights into selecting the most suitable AI tools for your development needs.
