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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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Webinar: How to 10x Development Speed when Building an ADAS HMI Towards Production

Webinar: How to 10x Development Speed when Building an ADAS HMI Towards Production

Surround Reality (SR) is rapidly gaining traction because it provides the situational awareness toda...

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Webinar: Safe, Smart, Seamless: Navigating HMI Hurdles in Lab Equipment

Webinar: Safe, Smart, Seamless: Navigating HMI Hurdles in Lab Equipment

This webinar is part of a two-part series that explores how medical Human–Machine Interfaces (HMIs) ...

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Webinar: Qt for MCUs vs. LVGL: A Comparative Study from Design to Deployment

Webinar: Qt for MCUs vs. LVGL: A Comparative Study from Design to Deployment

Listen to Qt Group and Spyrosoft for a practical comparison of Qt for MCUs vs. LVGL. See real-world ...

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Webinar: Leading into 2026: Insights for the Software-Defined Vehicle era

Webinar: Leading into 2026: Insights for the Software-Defined Vehicle era

The software-defined vehicle (SDV) era isn’t coming, it’s already here. But this shift is creating a...

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