<?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/d2a23225e15d428ab82805bc08b379ed&quot; frameborder=&quot;0&quot; width=&quot;3038&quot; height=&quot;2278&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>2278</height><width>3038</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>2278</thumbnail_height><thumbnail_width>3038</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/d2a23225e15d428ab82805bc08b379ed-f18f8e949961af3f.gif</thumbnail_url><duration>735.988333</duration><title>Landlord Ratings App Code Review</title><description>This Loom presents a code review of a landlord ratings web application built in Ruby on Rails. The author explains that the app supports user sign-in and sign-up, landlord search, and displaying landlord reviews, and that it was originally created about three years ago for a computer engineering internship in Chicago. They discuss software design and engineering improvements needed for organization, security, authentication logic, comments, naming consistency, and UI cleanup. For algorithms and data structures, they describe enhancing search filtering beyond landlord name and city to include neighborhood, rating, and review category, and they highlight a fully modeled Rails database schema using Active Records for landlords, ratings, reviews, and related user data.</description></oembed>