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.
Oh, here is more
On-Demand Webinar: Designing for Real-World Devices: Why Is It a Field of Its Own and How Qt Is Tackling the Most Complex Design Challenge
In this keynote, we discuss UX design for real-world devices and why we believe it needs solutions t...
Watch VideoOn-Demand Webinar: Modern, Performant UIs to Rust and C#: Qt Bridges Technology Preview Is Here!
Qt Bridges brings Qt to the languages your team already writes. This session covers the project and ...
Watch VideoOn-Demand Webinar: How Medical Software Teams Break The Regulatory Bottleneck
Every medical device you ship needs a decade of security updates, maintenance, and regulatory upkeep...
Watch VideoQtWS26: Customer Voices SAUTER
Qt World Summit 2026 Customer Voices Interview with SAUTER
Watch Video