<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>InfoQ - Agents - Presentations</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Agents Presentations feed</description>
    <item>
      <title>Presentation: Powering the Future: Building Your GenAI Infrastructure Stack</title>
      <link>https://www.infoq.com/presentations/infrastructure-ai-agent-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/infrastructure-ai-agent-development/en/mediumimage/MerrinKurian-medium-1778662210003.jpeg"/&gt;&lt;p&gt;Merrin Kurian shares the architectural blueprints and organizational processes behind Intuit’s AI transformation. She explains the "fixed, flexible, free" framework used to scale GenOS across 8,000 developers, enabling 3,500+ production experiments. She discusses critical agent failure modes, the "LLM-as-a-judge" evaluation strategy, and how to build "tool-ready" APIs for the future.&lt;/p&gt; &lt;i&gt;By Merrin Kurian&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Artificial Intelligence</category>
      <category>Agents</category>
      <category>Infrastructure</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 19 May 2026 12:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/infrastructure-ai-agent-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-presentations</guid>
      <dc:creator>Merrin Kurian</dc:creator>
      <dc:date>2026-05-19T12:43:00Z</dc:date>
      <dc:identifier>/presentations/infrastructure-ai-agent-development/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: What I Learned Building Multi-Agent Systems from Scratch</title>
      <link>https://www.infoq.com/presentations/multi-agent-system-lessons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/multi-agent-system-lessons/en/mediumimage/medium-1778068150406.jpeg"/&gt;&lt;p&gt;Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.&lt;/p&gt; &lt;i&gt;By Paulo Arruda&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Artificial Intelligence</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 13 May 2026 12:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/multi-agent-system-lessons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-presentations</guid>
      <dc:creator>Paulo Arruda</dc:creator>
      <dc:date>2026-05-13T12:01:00Z</dc:date>
      <dc:identifier>/presentations/multi-agent-system-lessons/en</dc:identifier>
    </item>
  </channel>
</rss>
