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    <item>
      <title>Presentation: Powering the Future: Building Your GenAI Infrastructure Stack</title>
      <link>https://www.infoq.com/presentations/infrastructure-ai-agent-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/infrastructure-ai-agent-development/en/mediumimage/MerrinKurian-medium-1778662210003.jpeg"/&gt;&lt;p&gt;Merrin Kurian shares the architectural blueprints and organizational processes behind Intuit’s AI transformation. She explains the "fixed, flexible, free" framework used to scale GenOS across 8,000 developers, enabling 3,500+ production experiments. She discusses critical agent failure modes, the "LLM-as-a-judge" evaluation strategy, and how to build "tool-ready" APIs for the future.&lt;/p&gt; &lt;i&gt;By Merrin Kurian&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Infrastructure</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 19 May 2026 12:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/infrastructure-ai-agent-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</guid>
      <dc:creator>Merrin Kurian</dc:creator>
      <dc:date>2026-05-19T12:43:00Z</dc:date>
      <dc:identifier>/presentations/infrastructure-ai-agent-development/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Product Thinking for Cloud Native Engineers</title>
      <link>https://www.infoq.com/presentations/product-cloud-native/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/product-cloud-native/en/mediumimage/CatMorrisStephaneDiCesare-medium-1778661429675.jpg"/&gt;&lt;p&gt;Stéphane Di Cesare and Cat Morris share how engineers can move from being a "cost center" to a value driver using product discovery. They explain the "Double Diamond" framework and why identifying user problems must precede building solutions. Learn to choose the right metrics, build customer empathy through shadowing, and use business context to maximize the impact of your technical work.&lt;/p&gt; &lt;i&gt;By Cat Morris, Stéphane Di Cesare&lt;/i&gt;</description>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Emerging Technologies</category>
      <category>Cloud Native Architecture</category>
      <category>Cloud</category>
      <category>Transcripts</category>
      <category>Project Management</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Mon, 18 May 2026 10:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/product-cloud-native/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</guid>
      <dc:creator>Cat Morris, Stéphane Di Cesare</dc:creator>
      <dc:date>2026-05-18T10:06:00Z</dc:date>
      <dc:identifier>/presentations/product-cloud-native/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Using AI as a Thinking Partner for Large-Scale Engineering Systems</title>
      <link>https://www.infoq.com/presentations/ai-large-scale-engineering-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-large-scale-engineering-systems/en/mediumimage/medium-1778069080461.jpeg"/&gt;&lt;p&gt;Julie Qiu explains how AI serves as a "thinking partner" for engineering leaders. She discusses five distinct roles - Archaeologist, Experimenter, Critic, Author, and Reviewer - to manage the cognitive load of 400+ repositories. She shares how AI provides the "RAM" needed to synthesize legacy context, pressure-test designs, and accelerate high-level architectural decisions.&lt;/p&gt; &lt;i&gt;By Julie Qiu&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Scalability</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 15 May 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-large-scale-engineering-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</guid>
      <dc:creator>Julie Qiu</dc:creator>
      <dc:date>2026-05-15T13:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-large-scale-engineering-systems/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Accelerating LLM-Driven Developer Productivity at Zoox</title>
      <link>https://www.infoq.com/presentations/ai-software-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-software-development/en/mediumimage/medium-1778065503665.jpg"/&gt;&lt;p&gt;Amit Navindgi discusses the systematic shift at Zoox from fragmented documentation to an AI-driven ecosystem. He explains how they built "Cortex," a secure platform integrating RAG, multi-modal LLMs, and contributor-friendly agent APIs.  He shares practical strategies for driving adoption through AI champions and hackathons, emphasizing the move from deterministic workflows to autonomous agents.&lt;/p&gt; &lt;i&gt;By Amit Navindgi&lt;/i&gt;</description>
      <category>Software Development</category>
      <category>QCon San Francisco 2025</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Thu, 14 May 2026 13:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-software-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</guid>
      <dc:creator>Amit Navindgi</dc:creator>
      <dc:date>2026-05-14T13:05:00Z</dc:date>
      <dc:identifier>/presentations/ai-software-development/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: What I Learned Building Multi-Agent Systems from Scratch</title>
      <link>https://www.infoq.com/presentations/multi-agent-system-lessons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/multi-agent-system-lessons/en/mediumimage/medium-1778068150406.jpeg"/&gt;&lt;p&gt;Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.&lt;/p&gt; &lt;i&gt;By Paulo Arruda&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI 2025</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 13 May 2026 12:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/multi-agent-system-lessons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</guid>
      <dc:creator>Paulo Arruda</dc:creator>
      <dc:date>2026-05-13T12:01:00Z</dc:date>
      <dc:identifier>/presentations/multi-agent-system-lessons/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Beyond Coding: How Senior ICs Grow Influence and Drive Impact</title>
      <link>https://www.infoq.com/presentations/lessons-building-engineering-team/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/lessons-building-engineering-team/en/mediumimage/medium-1778064119173.jpg"/&gt;&lt;p&gt;Netflix’s Kasia Trapszo discusses the transition from writing code to scaling organizations. She shares lessons on building trust through technical clarity, aligning teams to solve the "right" problems, and using intentional documentation to scale your judgment. Learn how to move beyond individual output to create a lasting architectural legacy that empowers others to make better decisions.&lt;/p&gt; &lt;i&gt;By Kasia Trapszo&lt;/i&gt;</description>
      <category>Team Performance</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Team Leader</category>
      <category>Staff Plus</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 12 May 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/lessons-building-engineering-team/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</guid>
      <dc:creator>Kasia Trapszo</dc:creator>
      <dc:date>2026-05-12T13:00:00Z</dc:date>
      <dc:identifier>/presentations/lessons-building-engineering-team/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Evolution of a Backend for a Streaming Application</title>
      <link>https://www.infoq.com/presentations/streaming-application-aws-infrastructure/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/streaming-application-aws-infrastructure/en/mediumimage/medium-1778061840987.jpg"/&gt;&lt;p&gt;Daniele Frasca explains the architectural evolution of Joyn, a German streaming giant. He discusses moving from fragile single-node setups to resilient serverless architectures using AWS. He shares insights on the Hub and Spoke pattern for data consistency, cell-based isolation to reduce blast radius, and cost-optimization strategies for achieving affordable multi-region active-active setups.&lt;/p&gt; &lt;i&gt;By Daniele Frasca&lt;/i&gt;</description>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>AWS</category>
      <category>Case Study</category>
      <category>Cloud</category>
      <category>Transcripts</category>
      <category>Infrastructure</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 11 May 2026 11:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/streaming-application-aws-infrastructure/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-presentations</guid>
      <dc:creator>Daniele Frasca</dc:creator>
      <dc:date>2026-05-11T11:45:00Z</dc:date>
      <dc:identifier>/presentations/streaming-application-aws-infrastructure/en</dc:identifier>
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