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      <title>Presentation: AI Native Engineering</title>
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      <description>&lt;img src="https://res.infoq.com/presentations/ai-native-engineering/en/mediumimage/medium-1778664122266.jpeg"/&gt;&lt;p&gt;Ian Thomas shares a case study on embracing AI-native engineering within Meta’s Reality Labs. He explains the "Assess and Grow" framework, a maturity model designed to move teams from manual toil to AI-integrated innovation. He discusses real-world wins - including hitting 90% code coverage in record time - while addressing senior concerns like "code slop," review fatigue, and maintaining quality.&lt;/p&gt; &lt;i&gt;By Ian Thomas&lt;/i&gt;</description>
      <category>Software Engineering</category>
      <category>QCon AI 2025</category>
      <category>Artificial Intelligence</category>
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      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Fri, 22 May 2026 09:18:00 GMT</pubDate>
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      <dc:creator>Ian Thomas</dc:creator>
      <dc:date>2026-05-22T09:18:00Z</dc:date>
      <dc:identifier>/presentations/ai-native-engineering/en</dc:identifier>
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