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    <title>InfoQ - Conferences</title>
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    <item>
      <title>Presentation: Platform Teams Enabling AI - MCP/Multi-Agentic Tools across Linkedin</title>
      <link>https://www.infoq.com/presentations/ai-multi-agentic-tools/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-multi-agentic-tools/en/mediumimage/medium-1779867927919.jpg"/&gt;&lt;p&gt;LinkedIn’s Karthik Ramgopal and Prince Valluri discuss leveraging AI as a new execution model for large-scale engineering. They explain how to move beyond fragmented implementations by building platform abstractions for orchestration, structured context, and safe tooling like MCP. They share architectural insights from real-world coding, observation, and UI testing agents built at LinkedIn.&lt;/p&gt; &lt;i&gt;By Karthik Ramgopal, Prince Valluri&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Case Study</category>
      <category>Agents</category>
      <category>Artifacts &amp; Tools</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 05 Jun 2026 12:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-multi-agentic-tools/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Karthik Ramgopal, Prince Valluri</dc:creator>
      <dc:date>2026-06-05T12:23:00Z</dc:date>
      <dc:identifier>/presentations/ai-multi-agentic-tools/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Architecting a Centralized Platform for Data Deletion at Netflix</title>
      <link>https://www.infoq.com/presentations/architecting-deletion-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/architecting-deletion-system/en/mediumimage/medium-1779869686290.jpg"/&gt;&lt;p&gt;The speakers discuss the architectural challenges of executing safe data deletion across distributed datastores. Balancing durability, availability &amp;  correctness, they explain how to orchestrate multi-system deletion propagation without impacting live traffic. They share lessons on controlling tombstone accumulation, building continuous audit loops, and gaining trust with a centralized platform.&lt;/p&gt; &lt;i&gt;By Vidhya Arvind, Shawn Liu&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Platform Engineering</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Reliability</category>
      <category>Data</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 04 Jun 2026 10:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/architecting-deletion-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Vidhya Arvind, Shawn Liu</dc:creator>
      <dc:date>2026-06-04T10:26:00Z</dc:date>
      <dc:identifier>/presentations/architecting-deletion-system/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Choosing Your AI Copilot: Maximizing Developer Productivity</title>
      <link>https://www.infoq.com/presentations/choosing-ai-copilot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/choosing-ai-copilot/en/mediumimage/medium-1779867439150.jpg"/&gt;&lt;p&gt;Sepehr Khosravi discusses the evolution of developer productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains actionable techniques for senior engineers - including context engineering, custom rules, and Model Context Protocol (MCP) integrations. He shares real-world benchmarks and strategic frameworks for balancing AI adoption with clean code quality.&lt;/p&gt; &lt;i&gt;By Sepehr Khosravi&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 03 Jun 2026 11:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/choosing-ai-copilot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Sepehr Khosravi</dc:creator>
      <dc:date>2026-06-03T11:05:00Z</dc:date>
      <dc:identifier>/presentations/choosing-ai-copilot/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Human Toll of Incidents &amp; Ways to Mitigate it</title>
      <link>https://www.infoq.com/presentations/incident-response-mitigate/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/incident-response-mitigate/en/mediumimage/kyle-lexmond-medium-1779869148329.jpg"/&gt;&lt;p&gt;Kyle Lexmond explains how to handle the high-pressure environment of severe production outages. He discusses the critical distinction between mitigation and root-cause resolution, sharing personal experiences from harrowing incident rooms. He shares valuable operational strategies on overcoming cognitive overload, establishing blameless cultures, and optimizing systems for faster recovery.&lt;/p&gt; &lt;i&gt;By Kyle Lexmond&lt;/i&gt;</description>
      <category>Incident Response</category>
      <category>Best Practices</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 02 Jun 2026 12:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/incident-response-mitigate/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Kyle Lexmond</dc:creator>
      <dc:date>2026-06-02T12:50:00Z</dc:date>
      <dc:identifier>/presentations/incident-response-mitigate/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Theme Systems at Scale: How to Build Highly Customizable Software</title>
      <link>https://www.infoq.com/presentations/liquid-theme-system-dsl/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/liquid-theme-system-dsl/en/mediumimage/medium-1779863262373.jpg"/&gt;&lt;p&gt;Shopify Staff Engineer Guilherme Carreiro discusses building and scaling highly customizable platforms. Using Shopify’s Liquid theme system as a case study, he explains how to balance extreme design flexibility with low-latency performance under massive traffic. He shares insights on implementing secure domain-specific languages, native code extensions, and resilient developer tooling.&lt;/p&gt; &lt;i&gt;By Guilherme Carreiro&lt;/i&gt;</description>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Transcripts</category>
      <category>Domain Specific Languages</category>
      <category>Case Study</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 01 Jun 2026 11:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/liquid-theme-system-dsl/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Guilherme Carreiro</dc:creator>
      <dc:date>2026-06-01T11:30:00Z</dc:date>
      <dc:identifier>/presentations/liquid-theme-system-dsl/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Building Evals for AI Adoption: from Principles to Practice</title>
      <link>https://www.infoq.com/presentations/eval-ai-adoption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/eval-ai-adoption/en/mediumimage/medium-1779185675202.jpeg"/&gt;&lt;p&gt;Mallika Rao discusses the hidden risk of evaluation debt in production AI systems, drawing on her experience at Twitter, Walmart, and Netflix. She explains why traditional metrics fail modern architectures, breaks down a five-layer evaluation stack spanning infrastructure and UX, and shares a diagnostic maturity model to help engineering leaders eliminate silent semantic failures.&lt;/p&gt; &lt;i&gt;By Mallika Rao&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Adoption</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 29 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/eval-ai-adoption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Mallika Rao</dc:creator>
      <dc:date>2026-05-29T12:00:00Z</dc:date>
      <dc:identifier>/presentations/eval-ai-adoption/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Founding Engineer to CTO to CEO – at the Same Startup</title>
      <link>https://www.infoq.com/presentations/framework-best-practices-startup/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</link>
      <description>&lt;img src="https://res.infoq.com/presentations/framework-best-practices-startup/en/mediumimage/medium-1779194881438.jpeg"/&gt;&lt;p&gt;Trisha Ballakur discusses her journey from a backend software engineer to CTO and CEO, using her startup Pointz as a case study. She explains how to implement bottom-up customer discovery to find product-market fit, effectively delegate to global contractors to reduce build times, customize open-source repos like Valhalla, and apply engineering test-case models to business development.&lt;/p&gt; &lt;i&gt;By Trisha Ballakur&lt;/i&gt;</description>
      <category>Best Practices</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Startup</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Thu, 28 May 2026 12:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/framework-best-practices-startup/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences</guid>
      <dc:creator>Trisha Ballakur</dc:creator>
      <dc:date>2026-05-28T12:33:00Z</dc:date>
      <dc:identifier>/presentations/framework-best-practices-startup/en</dc:identifier>
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