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    <title>InfoQ - QCon AI 2025</title>
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      <title>Presentation: Getting Rid of LeetCode Interviews in the World of AI</title>
      <link>https://www.infoq.com/presentations/ai-lead-interview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-lead-interview/en/mediumimage/daniel-medium-1784808762941.jpeg"/&gt;&lt;p&gt;Daniel Doubrovkine explains why traditional LeetCode whiteboard interviews fail to evaluate senior engineering talent. He discusses his own experience bombing basic algorithm tests despite decades of leadership, and shares actionable frameworks for redefining the interview loop. Discover how evaluating human judgment, system design, and hands-on AI collaboration yields far better hiring signals.&lt;/p&gt; &lt;i&gt;By Daniel Doubrovkine&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>interviewing</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <category>presentation</category>
      <pubDate>Wed, 29 Jul 2026 10:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-lead-interview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</guid>
      <dc:creator>Daniel Doubrovkine</dc:creator>
      <dc:date>2026-07-29T10:25:00Z</dc:date>
      <dc:identifier>/presentations/ai-lead-interview/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Autonomous Data Products for the Autonomous Era: Rethinking Data Architecture for GenAI</title>
      <link>https://www.infoq.com/presentations/ai-framework-data-infrastructure/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-framework-data-infrastructure/en/mediumimage/medium-1784107102579.jpeg"/&gt;&lt;p&gt;Jörg Schad explains how to tame the complex "data management hairball" to build scalable, safe architectures for AI. He shares how autonomous data products act like containers for data, encapsulating pipelines, schemas, and metadata. Discover how progressive tool discovery via protocols like MCP limits context rot, enforces governance policies, and ensures reliable, multi-modal access.&lt;/p&gt; &lt;i&gt;By Jörg Schad&lt;/i&gt;</description>
      <category>Data</category>
      <category>Infrastructure</category>
      <category>QCon AI 2025</category>
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      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 24 Jul 2026 13:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-framework-data-infrastructure/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</guid>
      <dc:creator>Jörg Schad</dc:creator>
      <dc:date>2026-07-24T13:30:00Z</dc:date>
      <dc:identifier>/presentations/ai-framework-data-infrastructure/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Copy-Paste to Composition: Building Agents Like Real Software</title>
      <link>https://www.infoq.com/presentations/agent-software-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</link>
      <description>&lt;img src="https://res.infoq.com/presentations/agent-software-engineering/en/mediumimage/jake-medium-1784183841742.jpeg"/&gt;&lt;p&gt;Jake Mannix discusses moving AI agents past chaotic "1970s BASIC" architectures. He shares how implementing an intermediate protocol layer allows engineering leaders to build versioned, encapsulated "virtual tools." This design enables interface mapping, dynamic schema projection, and runtime taint tracking to proactively eliminate data exfiltration risks without slowing velocity.&lt;/p&gt; &lt;i&gt;By Jake Mannix&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 22 Jul 2026 11:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/agent-software-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</guid>
      <dc:creator>Jake Mannix</dc:creator>
      <dc:date>2026-07-22T11:57:00Z</dc:date>
      <dc:identifier>/presentations/agent-software-engineering/en</dc:identifier>
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