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      <title>Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering</title>
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      <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>Claude</category>
      <category>QCon London 2026</category>
      <category>AI Coding</category>
      <category>Large language models</category>
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      <category>Artificial Intelligence</category>
      <category>Model Context Protocol (MCP)</category>
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      <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>
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