
Yufeng Zheng focused on maintaining the eth-ait/aitwebsite repository by addressing a critical issue with the Machine Perception course materials. He identified and fixed broken links to exercise instructions and solutions, updating the URLs to reference the 2025 academic year resources. Using HTML and web development skills, Yufeng ensured that students could reliably access the latest course content with minimal disruption. His targeted patch was low-risk and validated for accessibility, reducing potential support requests and supporting smooth course delivery. The work demonstrated attention to repository health and user experience, though it was limited in scope to a single, essential bug fix.

May 2025 monthly summary for eth-ait/aitwebsite focusing on bug fix to course materials links for the Machine Perception course. Delivered a targeted fix to ensure students access the latest 2025 materials with minimal disruption.
May 2025 monthly summary for eth-ait/aitwebsite focusing on bug fix to course materials links for the Machine Perception course. Delivered a targeted fix to ensure students access the latest 2025 materials with minimal disruption.
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