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      <title>Podcast: Platform Engineering for AI: Scaling Agents and MCP at LinkedIn</title>
      <link>https://www.infoq.com/podcasts/platform-engineering-scaling-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Conferences-podcasts</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/platform-engineering-scaling-agents/en/smallimage/the-infoq-podcast-logo-thumbnail-1764940700066.jpg"/&gt;&lt;p&gt;QCon AI New York Chair Wes Reisz talks with LinkedIn’s Karthik Ramgopal and Prince Valluri about enabling AI agents at enterprise scale. They discuss how platform teams orchestrate secure, multi-agentic systems, the role of MCP, the use of foreground and background agents, improving developer experience, and reducing toil.&lt;/p&gt; &lt;i&gt;By Karthik Ramgopal, Prince Valluri&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Model Context Protocol (MCP)</category>
      <category>The InfoQ Podcast</category>
      <category>Developer Experience</category>
      <category>Generative AI</category>
      <category>Large language models</category>
      <category>Code Generation</category>
      <category>Platform Engineering</category>
      <category>QCon AI 2025</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Wed, 10 Dec 2025 09:00:00 GMT</pubDate>
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      <dc:creator>Karthik Ramgopal, Prince Valluri</dc:creator>
      <dc:date>2025-12-10T09:00:00Z</dc:date>
      <dc:identifier>/podcasts/platform-engineering-scaling-agents/en</dc:identifier>
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