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    <item>
      <title>Presentation: AI Works, Pull Requests Don’t: How AI Is Breaking the SDLC and What To Do About It</title>
      <link>https://www.infoq.com/presentations/ai-sdlc-pull-request/?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/ai-sdlc-pull-request/en/mediumimage/michael-webster-medium-1781688909041.jpeg"/&gt;&lt;p&gt;Michael Webster discusses the rise of headless AI agents and their impact on software delivery pipelines. He shares how massive, AI-generated pull requests create a severe bottleneck for human reviewers and introduce persistent technical debt. Learn how engineering leaders can leverage test impact analysis and automated validation pipelines to verify agentic output without sacrificing stability.&lt;/p&gt; &lt;i&gt;By Michael Webster&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Software Development Lifecycle</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Fri, 26 Jun 2026 14:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-sdlc-pull-request/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Michael Webster</dc:creator>
      <dc:date>2026-06-26T14:17:00Z</dc:date>
      <dc:identifier>/presentations/ai-sdlc-pull-request/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Rust at the Core - Accelerating Polyglot SDK Development</title>
      <link>https://www.infoq.com/presentations/rust-polyglot-sdk/?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/rust-polyglot-sdk/en/mediumimage/spencer-judge-medium-1781688097548.jpeg"/&gt;&lt;p&gt;Spencer Judge discusses the architectural pattern of building a shared core in Rust with language-specific layers on top. Drawing from his work on Temporal's SDKs, he shares lessons on navigating FFI boundaries, bridging async concepts, and managing memory safely. He explains the limitations of native extensions and how emerging tech like WebAssembly can streamline cross-language architecture.&lt;/p&gt; &lt;i&gt;By Spencer Judge&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Rust</category>
      <category>Transcripts</category>
      <category>SDK</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 25 Jun 2026 10:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rust-polyglot-sdk/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Spencer Judge</dc:creator>
      <dc:date>2026-06-25T10:23:00Z</dc:date>
      <dc:identifier>/presentations/rust-polyglot-sdk/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Rules for Understanding Language Models</title>
      <link>https://www.infoq.com/presentations/5-principles-llm-behavior/?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/5-principles-llm-behavior/en/mediumimage/naomi-saphra-medium-1781688751052.jpg"/&gt;&lt;p&gt;Naomi Saphra discusses 5 rules governing language model behavior, breaking down why LLMs act like populations rather than individuals. She explains how tokenization creates strange semantic blind spots and highlights the mechanics of sycophancy, showing how models leverage subtle data associations to match user biases and demographics - even guessing political views based on favorite sports teams.&lt;/p&gt; &lt;i&gt;By Naomi Saphra&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Large language models</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 24 Jun 2026 11:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/5-principles-llm-behavior/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Naomi Saphra</dc:creator>
      <dc:date>2026-06-24T11:25:00Z</dc:date>
      <dc:identifier>/presentations/5-principles-llm-behavior/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Time It Wasn't DNS</title>
      <link>https://www.infoq.com/presentations/incident-dns/?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/incident-dns/en/mediumimage/sean-klein-medium-1781687984845.jpeg"/&gt;&lt;p&gt;Sean Klein discusses why "human error" is a dangerous myth in complex systems. Sharing the inside story of Azure’s 2023 global WAN outage, he explains how modern incident analysis looks past the "Five Whys" to uncover systemic issues. Learn how engineering leaders can move away from blame, improve Standard Operating Procedures, and design resilient systems that actively protect their engineers.&lt;/p&gt; &lt;i&gt;By Sean Klein&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Incident Response</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 23 Jun 2026 13:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/incident-dns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Sean Klein</dc:creator>
      <dc:date>2026-06-23T13:05:00Z</dc:date>
      <dc:identifier>/presentations/incident-dns/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Challenging Google Analytics: Building a Scalable, Cost-Effective User Tracking Service</title>
      <link>https://www.infoq.com/presentations/mobile-user-tracking-service/?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/mobile-user-tracking-service/en/mediumimage/alina-krasavina-medium-1781688348523.jpg"/&gt;&lt;p&gt;Alina Krasavina explains how Delivery Hero successfully deprecated Google Analytics and migrated to an internal user tracking platform. She discusses how a simplistic, highly scalable architecture allowed them to handle 10 times more load while capturing 97% of tracking data.&lt;/p&gt; &lt;i&gt;By Alina Krasavina&lt;/i&gt;</description>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Data Analytics</category>
      <category>Transcripts</category>
      <category>Cross Platform</category>
      <category>Mobile</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 22 Jun 2026 15:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/mobile-user-tracking-service/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Alina Krasavina</dc:creator>
      <dc:date>2026-06-22T15:07:00Z</dc:date>
      <dc:identifier>/presentations/mobile-user-tracking-service/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Write-Ahead Intent Log: a Foundation for Efficient CDC at Scale</title>
      <link>https://www.infoq.com/presentations/write-ahead-intent-log/?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/write-ahead-intent-log/en/mediumimage/vinay-chella-akshat-goel-medium-1781177310280.jpg"/&gt;&lt;p&gt;Vinay Chella and Akshat Goel discuss the challenges of running traditional CDC across heterogeneous databases during peak order traffic. They explain how Debezium hit limits under high load and share how they built Write-Ahead Intent Log (WAIL) - a custom architecture that utilizes a dumb producer proxy and a smart consumer pattern to cleanly separate the intent from the state payload.&lt;/p&gt; &lt;i&gt;By Vinay Chella, Akshat Goel&lt;/i&gt;</description>
      <category>Platform Engineering</category>
      <category>Data Access</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Thu, 18 Jun 2026 13:13:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/write-ahead-intent-log/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Vinay Chella, Akshat Goel</dc:creator>
      <dc:date>2026-06-18T13:13:00Z</dc:date>
      <dc:identifier>/presentations/write-ahead-intent-log/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Hype to Strong Foundations: What the Rise, Fall and Resurgence of Agents Can Teach Us about Outlasting the Cycle</title>
      <link>https://www.infoq.com/presentations/llm-compound-ai-systems/?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/llm-compound-ai-systems/en/mediumimage/medium-1781082183297.jpg"/&gt;&lt;p&gt;Aditya Kumarakrishnan explains how to move past the "amnesia phase" of AI. He shares a blueprint for engineering leaders to build modular agent frameworks using CoALA, leverage decades of process science for scalable workflows, and "terraform" legacy environments into robust, event-sourced artifacts capable of handling unpredictable, cross-functional agent demands.&lt;/p&gt; &lt;i&gt;By Aditya Kumarakrishnan&lt;/i&gt;</description>
      <category>Model</category>
      <category>QCon AI 2025</category>
      <category>Large language models</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 17 Jun 2026 11:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/llm-compound-ai-systems/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Aditya Kumarakrishnan</dc:creator>
      <dc:date>2026-06-17T11:04:00Z</dc:date>
      <dc:identifier>/presentations/llm-compound-ai-systems/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Automating the Web with MCP: Infra that Doesn’t Break</title>
      <link>https://www.infoq.com/presentations/parallel-agents-production/?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/parallel-agents-production/en/mediumimage/paul-klein-medium-1781168002415.jpeg"/&gt;&lt;p&gt;Paul Klein discusses the distributed systems challenges of scaling cloud-hosted browser infra for AI agents.  He explains how to manage bursty, stateful multi-tenancy and secure Chromium environments against remote code execution using Firecracker.  He also shares how to leverage the Model Context Protocol (MCP) to turn complex websites into accessible agentic tools.&lt;/p&gt; &lt;i&gt;By Paul Klein&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Infrastructure</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Agents</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 16 Jun 2026 13:13:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/parallel-agents-production/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Paul Klein</dc:creator>
      <dc:date>2026-06-16T13:13:00Z</dc:date>
      <dc:identifier>/presentations/parallel-agents-production/en</dc:identifier>
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