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    <title>InfoQ - Leadership</title>
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      <title>Presentation: The Socio-Technical Staff+ Engineer: Architecture, Culture and Organisational Change</title>
      <link>https://www.infoq.com/presentations/sociotechnical-staff-engineer-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Leadership</link>
      <description>&lt;img src="https://res.infoq.com/presentations/sociotechnical-staff-engineer-architecture/en/mediumimage/medium-1792066457983.jpg"/&gt;&lt;p&gt;Vanessa Formicola shares how technical leaders can move beyond "wishful architecture" by practicing holistic socio-technical engineering. She discusses why engineering leaders must account for organizational maturity, reward structures, geopolitical climate, and team dynamics, framing the staff-plus role as designing the conditions for technology to thrive rather than just picking tools.&lt;/p&gt; &lt;i&gt;By Vanessa Formicola&lt;/i&gt;</description>
      <category>Strategy</category>
      <category>Sociotechnical Architecture</category>
      <category>Leadership</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Staff Plus</category>
      <category>Management</category>
      <category>Culture</category>
      <category>QCon London 2026</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Fri, 06 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/sociotechnical-staff-engineer-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Leadership</guid>
      <dc:creator>Vanessa Formicola</dc:creator>
      <dc:date>2026-11-06T11:00:00Z</dc:date>
      <dc:identifier>/presentations/sociotechnical-staff-engineer-architecture/en</dc:identifier>
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    <item>
      <title>Presentation: Beyond the Harness: Canvas for AI Agents</title>
      <link>https://www.infoq.com/presentations/canvas-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Leadership</link>
      <description>&lt;img src="https://res.infoq.com/presentations/canvas-ai-agents/en/mediumimage/nimisha-asthagiri-medium-1792655073821.jpg"/&gt;&lt;p&gt;Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift detection, and decision records to scale software development resiliently.&lt;/p&gt; &lt;i&gt;By Nimisha Asthagiri&lt;/i&gt;</description>
      <category>QCon AI Boston 2026</category>
      <category>Leadership</category>
      <category>Metrics</category>
      <category>AI Harness</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Context Engineering</category>
      <category>Agents</category>
      <category>Evolutionary Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 03 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/canvas-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Leadership</guid>
      <dc:creator>Nimisha Asthagiri</dc:creator>
      <dc:date>2026-11-03T11:00:00Z</dc:date>
      <dc:identifier>/presentations/canvas-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Ladder is Missing Rungs: Engineering Progression When AI Ate the Middle</title>
      <link>https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Leadership</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-software-engineering-pipeline/en/mediumimage/alasdair-allan-medium-1791451156021.jpeg"/&gt;&lt;p&gt;Alasdair Allan discusses empirical research from METR and Anthropic on AI coding adoption. He explains the "supervision paradox," where reliance on AI tools disrupts junior skill development, risks institutional context loss, and threatens the long-term engineering pipeline needed to oversee autonomous systems effectively.&lt;/p&gt; &lt;i&gt;By Alasdair Allan&lt;/i&gt;</description>
      <category>Careers</category>
      <category>Leadership</category>
      <category>Code Reviews</category>
      <category>Productivity</category>
      <category>Transcripts</category>
      <category>Context Engineering</category>
      <category>Anthropic</category>
      <category>Claude</category>
      <category>AI Coding</category>
      <category>QCon London 2026</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 30 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-software-engineering-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Leadership</guid>
      <dc:creator>Alasdair Allan</dc:creator>
      <dc:date>2026-10-30T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-software-engineering-pipeline/en</dc:identifier>
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