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      <title>Presentation: Producing the World's Cheapest Tokens: A How-to Guide</title>
      <link>https://www.infoq.com/presentations/ai-token-price/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-token-price/en/mediumimage/meryem-arik-medium-1785844873071.jpg"/&gt;&lt;p&gt;Meryem Arik discusses strategies for designing low-cost LLM inference architectures for high-volume, non-real-time workloads. She explains how software architects and engineering leaders can achieve order-of-magnitude cost reductions by making critical trade-offs across hardware, inference runtimes, speculative decoding, and smart queue reordering.&lt;/p&gt; &lt;i&gt;By Meryem Arik&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon San Francisco 2025</category>
      <category>Performance &amp; Scalability</category>
      <category>Platform Engineering</category>
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      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 11 Aug 2026 10:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-token-price/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-presentations</guid>
      <dc:creator>Meryem Arik</dc:creator>
      <dc:date>2026-08-11T10:05:00Z</dc:date>
      <dc:identifier>/presentations/ai-token-price/en</dc:identifier>
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    <item>
      <title>Presentation: Leveraging Adversary Emulation for GenAI Red Teaming</title>
      <link>https://www.infoq.com/presentations/emulation-genai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/emulation-genai/en/mediumimage/KennedyTorkura-medium-1785396173788.jpeg"/&gt;&lt;p&gt;Kennedy Torkura discusses practical GenAI red teaming techniques to safeguard LLMs and knowledge bases against security threats like data poisoning and LLMjacking on AWS. He explains how engineering leaders and architects can bridge traditional cloud security with MITRE ATLAS frameworks to proactively identify vulnerabilities, implement guardrails, and secure production AI applications.&lt;/p&gt; &lt;i&gt;By Kennedy Torkura&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Mon, 10 Aug 2026 09:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/emulation-genai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-presentations</guid>
      <dc:creator>Kennedy Torkura</dc:creator>
      <dc:date>2026-08-10T09:32:00Z</dc:date>
      <dc:identifier>/presentations/emulation-genai/en</dc:identifier>
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    <item>
      <title>Presentation: Keeping ChatGPT Fast as AI Development Accelerates</title>
      <link>https://www.infoq.com/presentations/openai-performance-engineering-agentic-coding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/openai-performance-engineering-agentic-coding/en/mediumimage/MartinSpier-medium-1785314358072.jpeg"/&gt;&lt;p&gt;Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs of rapid shipping beyond GPUs, and shares how deploying always-on AI agents automates profiling, regression detection, and continuous optimization to maintain product speed and scalability at massive global scale.&lt;/p&gt; &lt;i&gt;By Martin Spier&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Workflow / BPM</category>
      <category>ChatGPT</category>
      <category>OpenAI</category>
      <category>Performance &amp; Scalability</category>
      <category>Observability</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Sat, 08 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/openai-performance-engineering-agentic-coding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-presentations</guid>
      <dc:creator>Martin Spier</dc:creator>
      <dc:date>2026-08-08T09:00:00Z</dc:date>
      <dc:identifier>/presentations/openai-performance-engineering-agentic-coding/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Rewriting All of Spotify's Code Base, All the Time</title>
      <link>https://www.infoq.com/presentations/spotify-ai-codebase-migration-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/spotify-ai-codebase-migration-agent/en/mediumimage/medium-1784809804876.jpg"/&gt;&lt;p&gt;Jo Kelly-Fenton and Aleksandar Mitic explain how Spotify created "Honk," an AI coding agent, to handle complex fleet-wide codebase migrations. They share key architectural insights on decoupling CI verification runtimes from AI agents, dealing with automated pull request bottlenecks, and driving aggressive standardization across thousands of engineering repositories.&lt;/p&gt; &lt;i&gt;By Jo Kelly-Fenton, Aleksandar Mitic&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Continuous Delivery</category>
      <category>Standardization</category>
      <category>Continuous Improvement</category>
      <category>Large language models</category>
      <category>migration</category>
      <category>AI Coding</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Fri, 07 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/spotify-ai-codebase-migration-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-presentations</guid>
      <dc:creator>Jo Kelly-Fenton, Aleksandar Mitic</dc:creator>
      <dc:date>2026-08-07T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spotify-ai-codebase-migration-agent/en</dc:identifier>
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