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      <title>Presentation: Fixing the AI Infra Scale Problem by Stuffing 1M Sandboxes in a Single Server</title>
      <link>https://www.infoq.com/presentations/unikraft-microvm-sandboxes-cloud-scaling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agile-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/unikraft-microvm-sandboxes-cloud-scaling/en/mediumimage/felipe-huici-medium-1787813506607.jpg"/&gt;&lt;p&gt;Felipe Huici explains how Unikraft achieves millisecond cold boots, stateful scale-to-zero, and extreme density for sandboxing AI workloads. He discusses isolation primitives, Linux kernel optimizations, and snapshotting tricks, demonstrating how to maintain sub-10ms performance at scale while integrating seamlessly into Kubernetes environments with hardware-level security.&lt;/p&gt; &lt;i&gt;By Felipe Huici&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Containers</category>
      <category>Transcripts</category>
      <category>QCon London 2026</category>
      <category>Cloud Security</category>
      <category>Virtualization</category>
      <category>Agents</category>
      <category>Kubernetes</category>
      <category>Platform Engineering</category>
      <category>Cloud</category>
      <category>Virtual Machines</category>
      <category>Artificial Intelligence</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
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      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 09 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/unikraft-microvm-sandboxes-cloud-scaling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agile-presentations</guid>
      <dc:creator>Felipe Huici</dc:creator>
      <dc:date>2026-09-09T11:00:00Z</dc:date>
      <dc:identifier>/presentations/unikraft-microvm-sandboxes-cloud-scaling/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Platform Engineering in the Age of AI</title>
      <link>https://www.infoq.com/presentations/ai-platform-engineering-roundtable/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agile-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-platform-engineering-roundtable/en/mediumimage/medium-1788861349861.jpg"/&gt;&lt;p&gt;The panelists explain how platform teams adapt to support AI-assisted engineering, highlighting which capabilities belong in the platform. They discuss trade-offs between standardization and developer autonomy, while sharing strategies to manage AI tooling, security guardrails, and shifting workflows.&lt;/p&gt; &lt;i&gt;By Stéphane Di Cesare, Davide de Paolis, Stephen Cihak, Camila Macedo, Renato Losio&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Internal Developer Portal</category>
      <category>InfoQ Live - August 2026</category>
      <category>Platform Engineering</category>
      <category>Developer Experience</category>
      <category>Artificial Intelligence</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 08 Sep 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-platform-engineering-roundtable/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agile-presentations</guid>
      <dc:creator>Stéphane Di Cesare, Davide de Paolis, Stephen Cihak, Camila Macedo, Renato Losio</dc:creator>
      <dc:date>2026-09-08T14:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-platform-engineering-roundtable/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From AI Agent Demo to Production: Automated Testing and Evaluation</title>
      <link>https://www.infoq.com/presentations/ai-agent-testing-evaluation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agile-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-agent-testing-evaluation/en/mediumimage/zhou-yu-medium-1787813732120.jpeg"/&gt;&lt;p&gt;Zhou Yu discusses why AI agents stall in demo phase and shares how simulation-driven testing solves compliance and reliability bottlenecks. Learn how Columbia and Arklex AI use synthetic user personas, trajectory entropy, and automated CI/CD pipelines to evaluate multi-turn agents, catch edge cases before deployment, and scale self-learning workflows in production.&lt;/p&gt; &lt;i&gt;By Zhou Yu&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Transcripts</category>
      <category>Reliability</category>
      <category>Performance</category>
      <category>Automated testing</category>
      <category>Data</category>
      <category>Agents</category>
      <category>Simulation</category>
      <category>Testing</category>
      <category>Quality</category>
      <category>Performance Evaluation</category>
      <category>QCon AI Boston 2026</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Mon, 07 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-agent-testing-evaluation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agile-presentations</guid>
      <dc:creator>Zhou Yu</dc:creator>
      <dc:date>2026-09-07T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-agent-testing-evaluation/en</dc:identifier>
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