I love the new Swift Testing
framework and have been using it whenever I can. However, I still have a lot of legacy code that uses XCTest
and I want to convert it to the new framework. This includes a lot of grunt work that I was thinking I hopefully could automate with GitHub Copilot. However, when I tried to do this, I found that Copilot often would create a mingle of XCTest
and Swift Testing
code, or stubbornly stuck to XCTest
even when I asked it to use Swift Testing
.
AI
Over the past few years, we’ve seen some truly impressive advancements in AI and machine learning. I remember that 20 years ago, when I was studying Artificial Intelligence, even finding faces in images was a major challenge—something that smartphones now do effortlessly in real time. The same goes for speech recognition: once considered nearly impossible, it’s now embedded in tools like Siri, Alexa, Google Assistant, and even real-time translation apps. While voice assistants are still not perfect—as this video humorously shows—it’s clear that AI has come a long way. Today, AI opens the door to exciting new applications that were unimaginable just a few years ago. In this post, we explore key areas of AI and ML that app developers can leverage to create smarter, more engaging experiences. First, let’s look at Image Recognition…

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