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      <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=Languages-presentations</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>Code Reviews</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Context Engineering</category>
      <category>AI Coding</category>
      <category>Transcripts</category>
      <category>Adoption</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <category>Architecture &amp; Design</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=Languages-presentations</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>
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    <item>
      <title>Presentation: How Eve Online Leverages Head Based Sampling to Observe "Fun"</title>
      <link>https://www.infoq.com/presentations/eve-observability-head-sampling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Languages-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/eve-observability-head-sampling/en/mediumimage/nicholas-herring-medium-1791444748399.jpg"/&gt;&lt;p&gt;Nicholas Herring shares how EVE Online tackles distributed tracing and observability across a 20-year-old MMO architecture. He discusses leveraging head-based, dynamic exponential moving average (EMA), and deterministic sampling techniques to maintain high system fidelity, control telemetry costs, and avoid performance degradation under high-throughput real-time game simulations.&lt;/p&gt; &lt;i&gt;By Nicholas Herring&lt;/i&gt;</description>
      <category>QCon London 2026</category>
      <category>Observability</category>
      <category>Distributed Tracing</category>
      <category>Real Time</category>
      <category>Transcripts</category>
      <category>Telemetry</category>
      <category>Distributed Systems</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 13 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/eve-observability-head-sampling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Languages-presentations</guid>
      <dc:creator>Nicholas Herring</dc:creator>
      <dc:date>2026-10-13T11:00:00Z</dc:date>
      <dc:identifier>/presentations/eve-observability-head-sampling/en</dc:identifier>
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