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Using AI Assistants for Qt UI Development

QML coding performance of Large Language Models (LLMs) has a direct impact on the adoption of AI assistants for Qt-based UI development. The presentation will compare different factors influencing the developer’s choice for LLMs including QML coding performance for expert advice and code completion, transparency of training data, and different deployment models.

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Maximize ROI and Streamline Development with Qt

Modern development demands agility, performance, and a seamless user experience across platforms and...

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Webinar: Accelerating Industrial AI Applications

Artificial intelligence is redefining industrial automation—driving the evolution toward modular, so...

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Data Modul - Qt World Summit 2025

Learn how Qt helps Data Modul save time and costs for the creation of Industry-grade displays and HM...

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Harman - Qt World Summit 2025

Learn how Harman uses Qt Framework for Automotive HMI development and as an accelerator to unlock co...

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