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      <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=Software+Development-presentations</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>Leadership</category>
      <category>Artificial Intelligence</category>
      <category>Software Development</category>
      <category>QCon AI 2025</category>
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      <category>AI, ML &amp; Data Engineering</category>
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      <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=Software+Development-presentations</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>
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      <title>Presentation: Engineering at AI Speed: Lessons from the First Agentically Accelerated Software Project</title>
      <link>https://www.infoq.com/presentations/engineering-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/engineering-ai/en/mediumimage/medium-1777370739830.jpg"/&gt;&lt;p&gt;Adam Wolff discusses the evolution of Claude Code, explaining how AI shifts the SDLC bottleneck from implementation to architectural decision-making. He shares three "war stories" to show why dogfooding and rapid unshipping are vital. He explains that when coding costs drop to zero, the speed of learning becomes the only competitive advantage.&lt;/p&gt; &lt;i&gt;By Adam Wolff&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Software Development</category>
      <category>Transcripts</category>
      <category>QCon San Francisco 2025</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Thu, 07 May 2026 14:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/engineering-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development-presentations</guid>
      <dc:creator>Adam Wolff</dc:creator>
      <dc:date>2026-05-07T14:07:00Z</dc:date>
      <dc:identifier>/presentations/engineering-ai/en</dc:identifier>
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