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      <title>Presentation: From Hype to Strong Foundations: What the Rise, Fall and Resurgence of Agents Can Teach Us about Outlasting the Cycle</title>
      <link>https://www.infoq.com/presentations/llm-compound-ai-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model</link>
      <description>&lt;img src="https://res.infoq.com/presentations/llm-compound-ai-systems/en/mediumimage/medium-1781082183297.jpg"/&gt;&lt;p&gt;Aditya Kumarakrishnan explains how to move past the "amnesia phase" of AI. He shares a blueprint for engineering leaders to build modular agent frameworks using CoALA, leverage decades of process science for scalable workflows, and "terraform" legacy environments into robust, event-sourced artifacts capable of handling unpredictable, cross-functional agent demands.&lt;/p&gt; &lt;i&gt;By Aditya Kumarakrishnan&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>QCon AI 2025</category>
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      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 17 Jun 2026 11:04:00 GMT</pubDate>
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      <dc:creator>Aditya Kumarakrishnan</dc:creator>
      <dc:date>2026-06-17T11:04:00Z</dc:date>
      <dc:identifier>/presentations/llm-compound-ai-systems/en</dc:identifier>
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