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      <title>Presentation: Keeping the Mainline Green across Diverse Language Monorepos</title>
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      <description>&lt;img src="https://res.infoq.com/presentations/mergequeue/en/mediumimage/dhruva-juloori-medium-1790247259869.jpeg"/&gt;&lt;p&gt;Dhruva Juloori discusses how Uber maintains green mainlines across massive monorepos handling 65,000+ monthly changes. He explains how SubmitQueue uses binary speculation trees, conflict analysis, and machine learning models to predict build success and execution times. Juloori shares how bypassing large diffs slashed CI resource usage by 53% while accelerating PR landing times by 37%.&lt;/p&gt; &lt;i&gt;By Dhruva Juloori&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Continuous Integration</category>
      <category>QCon San Francisco 2025</category>
      <category>Uber</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 01 Oct 2026 09:33:00 GMT</pubDate>
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      <dc:creator>Dhruva Juloori</dc:creator>
      <dc:date>2026-10-01T09:33:00Z</dc:date>
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