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    <title>InfoQ - QCon AI 2025</title>
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    <description>InfoQ QCon AI 2025 feed</description>
    <item>
      <title>Presentation: Leadership in AI-Assisted Engineering</title>
      <link>https://www.infoq.com/presentations/ai-assisted-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/ai-assisted-engineering/en/mediumimage/justin-medium-1777371783790.jpg"/&gt;&lt;p&gt;Justin Reock discusses the reality of AI’s impact on engineering, moving past anecdotes to hard data from DORA and DX research.  He explains the "GenAI Divide" - where 95% of pilots fail - and shares how leaders can use the SPACE and Core 4 frameworks to measure true ROI.  He explains how to balance speed with quality, reduce developer fear, and apply agentic solutions across the entire SDLC.&lt;/p&gt; &lt;i&gt;By Justin Reock&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Leadership</category>
      <category>QCon AI 2025</category>
      <category>Software Development</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 08 May 2026 12:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-assisted-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</guid>
      <dc:creator>Justin Reock</dc:creator>
      <dc:date>2026-05-08T12:40:00Z</dc:date>
      <dc:identifier>/presentations/ai-assisted-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: AI-First Software Delivery: Balancing Innovation with Proven Practices</title>
      <link>https://www.infoq.com/presentations/ai-first-practices/?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-first-practices/en/mediumimage/medium-1777371216610.jpeg"/&gt;&lt;p&gt;Wes Reisz discusses the shift toward AI-first software delivery, emphasizing that agentic workflows are not one-size-fits-all.  He explains a strategic two-by-two model based on code longevity and automated verification to decide between supervised and unsupervised agents.  He shares the RIPER-5 framework - Research, Innovate, Plan, Execute, Review - to amplify engineering discipline.&lt;/p&gt; &lt;i&gt;By Wes Reisz&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Best Practices</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 06 May 2026 11:12:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-first-practices/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</guid>
      <dc:creator>Wes Reisz</dc:creator>
      <dc:date>2026-05-06T11:12:00Z</dc:date>
      <dc:identifier>/presentations/ai-first-practices/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Next Generation of AI Products</title>
      <link>https://www.infoq.com/presentations/ai-products/?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-products/en/mediumimage/hilary-mason-medium-1776947360498.jpeg"/&gt;&lt;p&gt;Hilary Mason shares her journey from academia to building AI products at scale.  She discusses the shift from discrete engineering to probabilistic mindsets, explaining why managing "human considerations" is the hardest part of the stack.  She explains the "existential crisis" for engineers, arguing that great architecture today is about context management, systems thinking, and good taste.&lt;/p&gt; &lt;i&gt;By Hilary Mason&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Innovation</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 01 May 2026 09:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-products/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</guid>
      <dc:creator>Hilary Mason</dc:creator>
      <dc:date>2026-05-01T09:23:00Z</dc:date>
      <dc:identifier>/presentations/ai-products/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Agents, Architecture, &amp; Amnesia: Becoming AI-Native without Losing our Minds</title>
      <link>https://www.infoq.com/presentations/ai-autonomy-continuum/?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-autonomy-continuum/en/mediumimage/tracy-bannon-medium-1776946730433.jpeg"/&gt;&lt;p&gt;Tracy Bannon shares a cautionary tale of "The Sorcerer’s Apprentice" to illustrate the risks of unbridled AI autonomy. She discusses the shift from bots to autonomous agents, explaining how reckless speed leads to "Architectural Amnesia." She provides a concrete framework for "Minimum Viable Governance," focusing on identity, delegation, and ADRs to manage debt at machine speed across the SDLC.&lt;/p&gt; &lt;i&gt;By Tracy Bannon&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Keynote</category>
      <category>Software Development</category>
      <category>QCon AI 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 29 Apr 2026 14:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-autonomy-continuum/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+2025</guid>
      <dc:creator>Tracy Bannon</dc:creator>
      <dc:date>2026-04-29T14:15:00Z</dc:date>
      <dc:identifier>/presentations/ai-autonomy-continuum/en</dc:identifier>
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