<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Github on Onur Baydaş</title><link>https://onurbaydas.com/en/tags/github/</link><description>Recent content in Github on Onur Baydaş</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 17 Oct 2026 12:15:22 +0300</lastBuildDate><atom:link href="https://onurbaydas.com/en/tags/github/index.xml" rel="self" type="application/rss+xml"/><item><title>GitHub: Case-Folding Source Code at Memory Speed</title><link>https://onurbaydas.com/en/news/2026-10-17-github-case-folding-performance/</link><pubDate>Sat, 17 Oct 2026 12:15:22 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-17-github-case-folding-performance/</guid><description>GitHub discovered a method to perform case-folding in their code search engine at extremely high speeds. They can process over 45 GiB/s on a single CPU core.</description></item><item><title>Turning Giant AI-Generated Pull Requests into Reviewable Stacks</title><link>https://onurbaydas.com/en/news/2026-10-16-github-stacked-prs-ai-agents/</link><pubDate>Fri, 16 Oct 2026 00:17:33 +0300</pubDate><guid>https://onurbaydas.com/en/news/2026-10-16-github-stacked-prs-ai-agents/</guid><description>GitHub Engineering suggests decomposing large AI-generated pull requests (PRs) into smaller, reviewable parts. This approach leverages GitHub&amp;#39;s &amp;#34;stacked pull requests&amp;#34; feature to streamline the code review process.</description></item></channel></rss>