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      <title>Article: InfoQ Culture and Methods Trends Report - 2026</title>
      <link>https://www.infoq.com/articles/culture-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/culture-trends-2026/en/headerimage/graph-trends-report-2026-cm-1785761407624.jpg"/&gt;&lt;p&gt;This report summarizes how the InfoQ Culture and Methods editorial team sees the ongoing and emergent trends in the culture and methods space in 2026.&lt;/p&gt; &lt;i&gt;By Shane Hastie, Ben Linders, Vanessa Formicola, Shawna Martell, Rafiq Gemmail, Craig Smith, Phillip Mortimer, Yinka Omole&lt;/i&gt;</description>
      <category>Ethics</category>
      <category>Psychological Safety</category>
      <category>Teamwork</category>
      <category>Collaboration</category>
      <category>Artificial Intelligence</category>
      <category>InfoQ Trends Report 2026</category>
      <category>Platform Engineering</category>
      <category>Culture &amp; Methods</category>
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      <pubDate>Fri, 07 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/culture-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-articles</guid>
      <dc:creator>Shane Hastie, Ben Linders, Vanessa Formicola, Shawna Martell, Rafiq Gemmail, Craig Smith, Phillip Mortimer, Yinka Omole</dc:creator>
      <dc:date>2026-08-07T09:00:00Z</dc:date>
      <dc:identifier>/articles/culture-trends-2026/en</dc:identifier>
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      <title>Article: Runtime-Agnostic AI Workflows: A Pattern for Production Durability and Fast Eval Iteration</title>
      <link>https://www.infoq.com/articles/ai-workflow-pattern/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/ai-workflow-pattern/en/headerimage/header-1785766770921.jpg"/&gt;&lt;p&gt;AI workflows have two needs that trade off directly. Running reliably in production requires persisting and distributing every step so it survives crashes, deploys, and restarts. But that same machinery is what makes runs too heavy for the fast, throwaway loop you need to check an LLM's output quality. The properties that buy durability are the ones that kill iteration speed.&lt;/p&gt; &lt;i&gt;By Mateus Moury&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Thu, 06 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-workflow-pattern/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-articles</guid>
      <dc:creator>Mateus Moury</dc:creator>
      <dc:date>2026-08-06T09:00:00Z</dc:date>
      <dc:identifier>/articles/ai-workflow-pattern/en</dc:identifier>
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      <title>Article: Securing MCP in Production: Defense-in-Depth beyond the Gateway</title>
      <link>https://www.infoq.com/articles/securing-mcp-production-gateway/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/securing-mcp-production-gateway/en/headerimage/securing-mcp-production-gateway-header-1784884301110.jpg"/&gt;&lt;p&gt;This article presents a defense-in-depth approach for securing Model Context Protocol (MCP) deployments in production. It outlines four architectural control layers: safe execution, management infrastructure, outbound trust, and semantic integrity, arguing that production security requires enforcement beyond the gateway at the earliest trustworthy control points.&lt;/p&gt; &lt;i&gt;By Nik Kale&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Security</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Wed, 29 Jul 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/securing-mcp-production-gateway/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-articles</guid>
      <dc:creator>Nik Kale</dc:creator>
      <dc:date>2026-07-29T09:00:00Z</dc:date>
      <dc:identifier>/articles/securing-mcp-production-gateway/en</dc:identifier>
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