<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scm on CuraDevOps</title><link>https://curadevops.metacog.co.kr/tags/scm/</link><description>Recent content in Scm on CuraDevOps</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 14 Oct 2026 15:39:00 +0000</lastBuildDate><atom:link href="https://curadevops.metacog.co.kr/tags/scm/index.xml" rel="self" type="application/rss+xml"/><item><title>GitLab: scaling Git for AI-agent-driven commit volumes</title><link>https://curadevops.metacog.co.kr/insights/2026-10-14-scaling-git-for-the-agentic-software-factory/</link><pubDate>Wed, 14 Oct 2026 15:39:00 +0000</pubDate><guid>https://curadevops.metacog.co.kr/insights/2026-10-14-scaling-git-for-the-agentic-software-factory/</guid><description>&lt;ul>
&lt;li>&lt;strong>Platform/SRE — Learn:&lt;/strong> The Anthropic data point — daily merges growing from ~2,500 to ~30,000 in four months — is a concrete signal that AI-agent workloads will stress Git infrastructure at a new order of magnitude; worth tracking for teams planning developer platform capacity, but no GA product and no action yet.&lt;/li>
&lt;li>&lt;strong>CI/CD — Learn:&lt;/strong> Extreme merge volumes have direct implications for merge-queue design and CI scheduling at scale; the architectural lessons from Anthropic&amp;rsquo;s Scion system are useful background even though nothing here is GA or requires pipeline changes now.&lt;/li>
&lt;li>&lt;strong>Leader — Learn:&lt;/strong> This is a pre-GA vendor roadmap post, but the underlying trend — AI agents requiring a fundamental rethink of SCM architecture — is a strategic signal worth tracking when evaluating long-term developer platform investments; no contract or toolchain decision needed yet.&lt;/li>
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