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      <title>Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering</title>
      <link>https://www.infoq.com/presentations/architecture-context-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Coding-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/architecture-context-engineering/en/mediumimage/partick-baruch-medium-1786008501700.jpg"/&gt;&lt;p&gt;Baruch Sadogursky and Patrick Debois discuss why coding agents fail due to bloated context windows and stuffed prompts. They explain practical context engineering fixes, including lazy-loaded skills, versioned context artifacts, externalized memory banks, and LLM-as-a-judge evals. Software architects &amp; engineering leaders will learn how to turn raw markdown files into reliable agentic workflows.&lt;/p&gt; &lt;i&gt;By Patrick Debois, Baruch Sadogursky&lt;/i&gt;</description>
      <category>QCon London 2026</category>
      <category>Claude</category>
      <category>AI Coding</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Model Context Protocol (MCP)</category>
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      <category>Prompt Engineering</category>
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      <category>presentation</category>
      <pubDate>Fri, 14 Aug 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Patrick Debois, Baruch Sadogursky</dc:creator>
      <dc:date>2026-08-14T11:00:00Z</dc:date>
      <dc:identifier>/presentations/architecture-context-engineering/en</dc:identifier>
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      <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=AI+Coding-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>QCon London 2026</category>
      <category>AI Coding</category>
      <category>Continuous Improvement</category>
      <category>migration</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Standardization</category>
      <category>Continuous Delivery</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
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      <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=AI+Coding-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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