<?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/f4ad1749a4e94fc48f70bd23413daead&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/f4ad1749a4e94fc48f70bd23413daead-fa018d88bc3c5858.gif</thumbnail_url><duration>322.545</duration><title>Revolutionizing Code Quality: Introducing Tech-Debt Assertion for Automated Type Hinting</title><description>In this video, I introduce Tech-Debt Assertion, an autonomous agent designed to modernize legacy codebases by fixing missing type hints at scale. I demonstrate how it analyzes a Python file, identifies issues, and automatically applies fixes with just one click, transforming hours of manual work into a 30-second task. The tool scanned six files and found seven missing type hints, ultimately achieving a 100% healthy codebase. I encourage you to explore the GitHub repository for Tech-Debt Assertion and see how it can enhance your development process.</description></oembed>