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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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Siemens PAVE360 | Built with Qt

Siemens PAVE360 | Built with Qt

Siemens Technologies and Qt Group work together on a virtualized HMI platform, enabling the OEMs and...

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Webinar: Accelerating Robotics Development with Qt Robotics Framework

Webinar: Accelerating Robotics Development with Qt Robotics Framework

Qt Robotics Framework (QRF) introduces a fast, reliable way to connect Qt‑based applications (QML an...

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Avilus | Built with Qt

Avilus | Built with Qt

Avilus is a manufacturer and certified operator of a new class of dual-use drones. Their unmanned ai...

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Remarkable | Built with Qt

Remarkable | Built with Qt

Remarkable uses Qt for its cross-platform capabilities, modularity, and flexibility. The UI is furth...

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