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In this mini-series, we investigate what the state of the art is for AI-assisted software development. We will start out with looking at Qt Creator, and the newly released Qt AI Assistant.

In this episode, we explore how to host and run your own Ollama models on a dedicated server, from setup to integration. We discuss the difficulty of self-hosting, how Ollama works, its scalability, and the available model repository. You’ll also see a live demo, watch Jan interact directly with a model, and learn how to connect Qt Creator to your own hosted model.

When coding using AI, there are so many options to choose from, including just typing your questions into ChatGPT and using the model for continuous code completions and suggestions. However, the underlying issue is understanding what options are better - should you use a general purpose model or one specifically trained to your language? Should you host them locally, in server farms, or with the providers?

In this episode, Jan walks us through a normal setup of Qt AI Assistant for Qt Creator using ChatGPT's models.

The "Locator" in Qt Creator offers an extensive set of commands that make programming easier. In this video we show a subset of its features, hidden behind the Ctrl+K shortcut.

Qt Creator provides a lot of useful features, many of which are easily accessible by keyboard shortcuts. This video demonstrates a few shortcuts around code navigation, editing and program execution.

Success lies in using continuous integration and continuous deployment to catch errors early and maintain quality across all platforms. These are critical aspects.