Developed an AI-focused RSS feed generator for the Olshansk/rss-feeds repository, enabling structured access to AI-related content from the Google Developers Blog. The solution was implemented in Python, leveraging backend development and web scraping techniques to extract and organize relevant posts into a consumable RSS format. This feature enhanced content discovery for users interested in AI topics, streamlining the process of finding and subscribing to pertinent updates. The work established a scalable architecture and clear processes to support future topic-based feeds, with an emphasis on maintainability and testability. No major bugs were reported, reflecting a stable and well-structured initial release.