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    <title>InfoQ - QCon AI Boston 2026</title>
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    <description>InfoQ QCon AI Boston 2026 feed</description>
    <item>
      <title>Presentation: Beyond the Prototype: Scaling Framework Agnostic AI Agent Infrastructure with Ray</title>
      <link>https://www.infoq.com/presentations/scale-llm-agents-production-ray/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+Boston+2026</link>
      <description>&lt;img src="https://res.infoq.com/presentations/scale-llm-agents-production-ray/en/mediumimage/medium-1792065446239.jpg"/&gt;&lt;p&gt;The speakers discuss transitioning AI agents from local FastAPI prototypes to resilient production systems on Kubernetes using Ray. They share operational insights on RayCluster topology, stateful memory handling, auto-scaling on dynamic traffic, and robust control plane designs, while highlighting critical guardrails, multi-region setups, and LLM-as-a-judge evaluation pipelines.&lt;/p&gt; &lt;i&gt;By Deepak Mohanakumar Chandramouli, Bhumik Vinodkumar Thakkar&lt;/i&gt;</description>
      <category>Scalability</category>
      <category>Large language models</category>
      <category>Machine Learning</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 20 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/scale-llm-agents-production-ray/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+Boston+2026</guid>
      <dc:creator>Deepak Mohanakumar Chandramouli, Bhumik Vinodkumar Thakkar</dc:creator>
      <dc:date>2026-10-20T11:00:00Z</dc:date>
      <dc:identifier>/presentations/scale-llm-agents-production-ray/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: What 25 Trillion Tokens Reveal about How Developers Actually Adopt AI Agents</title>
      <link>https://www.infoq.com/presentations/agentic-ai-developer-trust-adoption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+Boston+2026</link>
      <description>&lt;img src="https://res.infoq.com/presentations/agentic-ai-developer-trust-adoption/en/mediumimage/brendan-oleary-medium-1791452159106.jpeg"/&gt;&lt;p&gt;Brendan O'Leary discusses how real-world AI adoption depends on building trust rather than chasing model benchmarks. Drawing from 40 trillion tokens of usage data, he explains the four rungs of the AI adoption ladder and analyzes key failure points in context construction, multi-model routing, and feedback loops to help engineering leaders successfully scale agentic workflows.&lt;/p&gt; &lt;i&gt;By Brendan O’Leary&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Code Reviews</category>
      <category>Agents</category>
      <category>AI Coding</category>
      <category>Adoption</category>
      <category>Context Engineering</category>
      <category>Transcripts</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 15 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/agentic-ai-developer-trust-adoption/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+Boston+2026</guid>
      <dc:creator>Brendan O’Leary</dc:creator>
      <dc:date>2026-10-15T11:00:00Z</dc:date>
      <dc:identifier>/presentations/agentic-ai-developer-trust-adoption/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: You Can't Trust Your AI Bill. And Neither Can I</title>
      <link>https://www.infoq.com/presentations/ai-cloud-cost-economics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+Boston+2026</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-cloud-cost-economics/en/mediumimage/erik-peterson-medium-1791451373591.jpg"/&gt;&lt;p&gt;Erik Peterson discusses why AI spend is eclipsing cloud bills, triggering a major software engineering cost crisis. He explains tokenmaxxing, unit economics, forced developer promotions, and why fully autonomous AI will write, deploy, and govern code by 2028.&lt;/p&gt; &lt;i&gt;By Erik Peterson&lt;/i&gt;</description>
      <category>FinOps</category>
      <category>Cost Optimization</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Productivity</category>
      <category>Cloud Computing</category>
      <category>Generative AI</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Mon, 12 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-cloud-cost-economics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=QCon+AI+Boston+2026</guid>
      <dc:creator>Erik Peterson</dc:creator>
      <dc:date>2026-10-12T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-cloud-cost-economics/en</dc:identifier>
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