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    <item>
      <title>Presentation: Batch Intelligence at Scale: Cost-Efficient Multi-Agent LLM Workflows with Built-In Resilience</title>
      <link>https://www.infoq.com/presentations/scaling-multi-agent-llm-batch/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/scaling-multi-agent-llm-batch/en/mediumimage/AdityaMulik-medium-1793278766506.jpeg"/&gt;&lt;p&gt;Aditya Mulik explains how Walmart Global Tech deployed multi-agent LLM workflows across 4,700 stores for nightly batch inventory forecasting. He discusses tackling production hurdles - schema violations, cross-department data mismatches, and network drops - via MCP grounding and loop agents, while slashing cloud inference costs from $100k+ to $10k per month shifting from PTUs to pay-as-you-go.&lt;/p&gt; &lt;i&gt;By Aditya Mulik&lt;/i&gt;</description>
      <category>Batch Processing</category>
      <category>Transcripts</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Machine Learning</category>
      <category>Resilience</category>
      <category>AI Cost Optimisation</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 10 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/scaling-multi-agent-llm-batch/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Aditya Mulik</dc:creator>
      <dc:date>2026-11-10T11:00:00Z</dc:date>
      <dc:identifier>/presentations/scaling-multi-agent-llm-batch/en</dc:identifier>
    </item>
    <item>
      <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=Transcripts</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>Culture</category>
      <category>Transcripts</category>
      <category>Staff Plus</category>
      <category>Strategy</category>
      <category>Architecture</category>
      <category>Sociotechnical Architecture</category>
      <category>Leadership</category>
      <category>Management</category>
      <category>QCon London 2026</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</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=Transcripts</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>
    </item>
    <item>
      <title>Presentation: Zero Trust Agent Systems that Pass Audits and Still Ship</title>
      <link>https://www.infoq.com/presentations/zero-trust-ai-agents-production-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/zero-trust-ai-agents-production-security/en/mediumimage/advait-patel-medium-1792655207658.jpeg"/&gt;&lt;p&gt;Advait Patel shares a playbook for securing AI agent systems in production. He discusses moving defense boundaries from the prompt to the tool layer, enforcing scoped workload identities, and mitigating prompt injection via tool outputs. He explains how to structure audit-ready observability and implement kill switches to protect critical data while keeping deployment fast and compliant.&lt;/p&gt; &lt;i&gt;By Advait Patel&lt;/i&gt;</description>
      <category>Observability</category>
      <category>Cloud Security</category>
      <category>DevSecOps</category>
      <category>Architecture</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Logging</category>
      <category>Software Supply Chain</category>
      <category>OWASP</category>
      <category>Transcripts</category>
      <category>Zero Trust</category>
      <category>AI Security</category>
      <category>Compliance</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Thu, 05 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/zero-trust-ai-agents-production-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Advait Patel</dc:creator>
      <dc:date>2026-11-05T11:00:00Z</dc:date>
      <dc:identifier>/presentations/zero-trust-ai-agents-production-security/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Panel: Who Builds the Frontend Now? (And What Breaks When They Do)</title>
      <link>https://www.infoq.com/presentations/panel-ai-frontend-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/panel-ai-frontend-architecture/en/mediumimage/medium-1792133520845.jpg"/&gt;&lt;p&gt;The panelists explain how AI tools and vibe coding reshape frontend and mobile engineering. They share insights on evolving junior developer roles, managing AI-generated code review fatigue, designing systems for autonomous agents, enforcing architectural guardrails, and navigating economic shifts in open-source software sustainability.&lt;/p&gt; &lt;i&gt;By Luca Mezzalira, James Hall, Danielle An, Ivan Zarea&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Code Quality</category>
      <category>Management</category>
      <category>QCon London 2026</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 04 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/panel-ai-frontend-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Luca Mezzalira, James Hall, Danielle An, Ivan Zarea</dc:creator>
      <dc:date>2026-11-04T11:00:00Z</dc:date>
      <dc:identifier>/presentations/panel-ai-frontend-architecture/en</dc:identifier>
    </item>
    <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=Transcripts</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>Transcripts</category>
      <category>AI Harness</category>
      <category>Architecture</category>
      <category>Metrics</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Leadership</category>
      <category>Evolutionary Architecture</category>
      <category>Context Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</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=Transcripts</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>
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