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: CI/CD and Continuous Compliance of Embedded Software for Aerospace and Defense
Today, CI/CD for pure software products is well understood. But hardware dependencies and embedded d...
Watch Video
On-Demand Webinar: Agentic Development for Embedded Devices: From Experiment to Production
Agentic development for embedded devices is moving from experiment to production, and regulated indu...
Watch Video
CRA-ready in der industriellen Automatisierung: Von der Entwicklung bis zur Integration
Industrielle Softwareteams arbeiten unter zunehmendem Druck - knappe Budgets, CRA-Compliance-Fristen...
Watch Video
Video Podcast: Five Things From Auto China 2026 That Should Change Your SDV Roadmap
The modern in-vehicle experience starts in the architecture underneath the cockpit. The world’s bigg...
Watch Video