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    <title>InfoQ - Transcripts - Presentations</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Transcripts Presentations feed</description>
    <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-presentations</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=Transcripts-presentations</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-presentations</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>QCon AI Boston 2026</category>
      <category>Architecture</category>
      <category>Zero Trust</category>
      <category>Observability</category>
      <category>DevSecOps</category>
      <category>Compliance</category>
      <category>OWASP</category>
      <category>AI Security</category>
      <category>Logging</category>
      <category>Software Supply Chain</category>
      <category>Transcripts</category>
      <category>Cloud Security</category>
      <category>Agents</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</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-presentations</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-presentations</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>Code Quality</category>
      <category>Architecture</category>
      <category>AI Architecture</category>
      <category>Transcripts</category>
      <category>Management</category>
      <category>Agents</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-presentations</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-presentations</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=Transcripts-presentations</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=Transcripts-presentations</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=Transcripts-presentations</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>
    </item>
    <item>
      <title>Presentation: Wrangling Telemetry at Scale: a Guide to Self-Hosted Observability</title>
      <link>https://www.infoq.com/presentations/self-hosted-observability-stack-tradeoffs/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/self-hosted-observability-stack-tradeoffs/en/mediumimage/colin-douch-medium-1791450600829.jpeg"/&gt;&lt;p&gt;Colin Douch shares battle-tested strategies for building and scaling self-hosted observability stacks. He explains how to effectively correlate metrics, structured logs, and distributed traces using open-source tooling like Prometheus, VictoriaMetrics, and Jaeger, while navigating the engineering trade-offs of avoiding SaaS vendor lock-in.&lt;/p&gt; &lt;i&gt;By Colin Douch&lt;/i&gt;</description>
      <category>Telemetry</category>
      <category>Open Source</category>
      <category>Prometheus</category>
      <category>Metrics</category>
      <category>Transcripts</category>
      <category>Observability</category>
      <category>Distributed Tracing</category>
      <category>Site Reliability Engineering</category>
      <category>QCon London 2026</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Wed, 28 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/self-hosted-observability-stack-tradeoffs/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts-presentations</guid>
      <dc:creator>Colin Douch</dc:creator>
      <dc:date>2026-10-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/self-hosted-observability-stack-tradeoffs/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Serving LLMs at Scale: the Hidden KV Cache Advantage</title>
      <link>https://www.infoq.com/presentations/llm-inference-kv-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/llm-inference-kv-cache/en/mediumimage/medium-1792066105733.jpeg"/&gt;&lt;p&gt;Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, leveraging tiered storage, reducing tail latency, and implementing disaggregated prefill and decode architectures to improve overall fleet performance, cost economics, and availability.&lt;/p&gt; &lt;i&gt;By Khawaja Shams&lt;/i&gt;</description>
      <category>Optimization</category>
      <category>GPU</category>
      <category>QCon AI Boston 2026</category>
      <category>Distributed Systems</category>
      <category>Transcripts</category>
      <category>Valkey</category>
      <category>Caching</category>
      <category>Large language models</category>
      <category>Redis</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 27 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/llm-inference-kv-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts-presentations</guid>
      <dc:creator>Khawaja Shams</dc:creator>
      <dc:date>2026-10-27T11:00:00Z</dc:date>
      <dc:identifier>/presentations/llm-inference-kv-cache/en</dc:identifier>
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