<?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/ae710891c9044069a9017ee98ce657c5&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ae710891c9044069a9017ee98ce657c5-42da4732c0e54428.gif</thumbnail_url><duration>587.5</duration><title>AI for Large Codebases</title><description>Hi everyone, in this video, I delve into the potential of AI for large codebases, addressing misconceptions and showcasing the importance of AI in reading and working with extensive codebases. I demonstrate a chat-oriented programming approach to tackle issues within a codebase, emphasizing the significance of context and problem-solving strategies. Join me as I explore the integration of traditional software engineering skills with AI solutions to enhance code understanding and debugging.</description></oembed>