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      <title>Podcast: Culture &amp; Methods Trends 2026: The Human Side of AI Engineering</title>
      <link>https://www.infoq.com/podcasts/infoq-culture-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/infoq-culture-trends-2026/en/smallimage/infoQ-trends-report-podcast-logo-big-1785405371110.jpg"/&gt;&lt;p&gt;This is the Engineering Culture Trends Report for 2026.  Featuring a panel of QCon speakers and InfoQ contributors, they discussed AI adoption maturity and risk, the transformation of engineering team structures and roles, and the human dimensions of software development that must not be lost in 2026.&lt;/p&gt; &lt;i&gt;By Ben Linders, Rafiq Gemmail, Craig Smith, Vanessa Formicola, Shawna Martell, Phillip Mortimer, Yinka Omole&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>Psychological Safety</category>
      <category>Collaboration</category>
      <category>Quality</category>
      <category>Teamwork</category>
      <category>Green Software</category>
      <category>Observability</category>
      <category>Platform Engineering</category>
      <category>Productivity</category>
      <category>Testing</category>
      <category>InfoQ Trends Report 2026</category>
      <category>Software Development</category>
      <category>Engineering Culture Podcast</category>
      <category>Developer Experience</category>
      <category>Training / Certification</category>
      <category>Accessibility</category>
      <category>Careers</category>
      <category>Agile Education</category>
      <category>Technology</category>
      <category>InfoQ Trends Report</category>
      <category>Culture &amp; Methods</category>
      <category>podcast</category>
      <pubDate>Fri, 07 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/infoq-culture-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development</guid>
      <dc:creator>Ben Linders, Rafiq Gemmail, Craig Smith, Vanessa Formicola, Shawna Martell, Phillip Mortimer, Yinka Omole</dc:creator>
      <dc:date>2026-08-07T09:00:00Z</dc:date>
      <dc:identifier>/podcasts/infoq-culture-trends-2026/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Five Stages of AI Maturity in Engineering Organizations - Where and Why Teams Get Stuck</title>
      <link>https://www.infoq.com/presentations/ai-sdlc-maturity-framework-bottlenecks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-sdlc-maturity-framework-bottlenecks/en/mediumimage/LizzieMatusov-medium-1785314207748.jpeg"/&gt;&lt;p&gt;Quotient CEO Lizzie Matusov explains why soaring AI spend often fails to improve software delivery. She presents a research-backed AI maturity framework designed to help engineering leaders move beyond vanity metrics like token usage, align organizational AI adoption, and address critical bottlenecks across the software development life cycle to deliver measurable business outcomes.&lt;/p&gt; &lt;i&gt;By Lizzie Matusov&lt;/i&gt;</description>
      <category>QCon AI Boston 2026</category>
      <category>Productivity</category>
      <category>Metrics</category>
      <category>Software Engineering</category>
      <category>Software Development Lifecycle</category>
      <category>Frameworks</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 04 Aug 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-sdlc-maturity-framework-bottlenecks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development</guid>
      <dc:creator>Lizzie Matusov</dc:creator>
      <dc:date>2026-08-04T16:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-sdlc-maturity-framework-bottlenecks/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Integrates MCP and Dash to Close the Gap between Security Design and Code Review</title>
      <link>https://www.infoq.com/news/2026/07/dropbox-mcp-ai-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/dropbox-mcp-ai-code-review/en/headerimage/generatedHeaderImage-1785008611092.jpg"/&gt;&lt;p&gt;Dropbox has integrated Model Context Protocol (MCP) with its internal knowledge platform, Dash, to surface security design context during AI assisted code reviews. The system retrieves threat models and security requirements for pull requests, helping reviewers validate implementation against design intent. An InfoQ Q&amp;A explores the architecture and key lessons learned.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Threat Modeling</category>
      <category>Productivity</category>
      <category>Artificial Intelligence</category>
      <category>Code Reviews</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Software Development</category>
      <category>Application Security</category>
      <category>DevSecOps</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 31 Jul 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/dropbox-mcp-ai-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-07-31T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/07/dropbox-mcp-ai-code-review/en</dc:identifier>
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