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      <title>Presentation: AI-Driven Software Delivery: Leveraging Lean, ChOP &amp; LLMs to Create More Effective Learning Experiences at QCon</title>
      <link>https://www.infoq.com/presentations/chop-rag-llm-qcon/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Lean-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/chop-rag-llm-qcon/en/mediumimage/wes-reisz-medium-1761903660830.jpg"/&gt;&lt;p&gt;Wes Reisz discusses an experiment to deliver a QCon certification using a Retrieval-Augmented Generation (RAG) architecture and supervised coding agents (Claude Sonnet/Cursor). He breaks down the 4-week serverless video transcription pipeline, RAG variations (hybrid, graph), and the process of structuring prompts for 95% AI-generated code.&lt;/p&gt; &lt;i&gt;By Wesley Reisz&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Lean</category>
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      <category>InfoQ Dev Summit Boston 2025</category>
      <category>Culture &amp; Methods</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Mon, 17 Nov 2025 13:35:00 GMT</pubDate>
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      <dc:creator>Wesley Reisz</dc:creator>
      <dc:date>2025-11-17T13:35:00Z</dc:date>
      <dc:identifier>/presentations/chop-rag-llm-qcon/en</dc:identifier>
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