<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/7b32b02d330c488eae3aa03ba5b2516c&quot; frameborder=&quot;0&quot; width=&quot;1338&quot; height=&quot;1003&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1003</height><width>1338</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1003</thumbnail_height><thumbnail_width>1338</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/7b32b02d330c488eae3aa03ba5b2516c-00001.gif</thumbnail_url><duration>300.067</duration><title>Exploring the Potential of AI in Understanding Android Architecture</title><description>Hey, this is Till from Appviewer.io. In this video, I discuss how large language models (LLMs) can help us understand code architecture before we start coding. I explain the importance of building a mental model and mapping new requirements to existing models. I showcase an example of an architecture diagram in an Android sample app and discuss the potential for automating its creation using LLMs. I also present a quick prototype that demonstrates how LLMs can generate a similar diagram with additional details. Watch the video to explore the possibilities of using LLMs in understanding code architecture.</description></oembed>