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      <title>Rootly Drops Small PR Rule as Agentic AI Changes Code Review Economics</title>
      <link>https://www.infoq.com/news/2026/08/rootly-small-pr-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Code+Reviews-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/rootly-small-pr-agentic-ai/en/headerimage/generatedHeaderImage-1786029342014.jpg"/&gt;&lt;p&gt;Incident management platform provider Rootly has published an account of its decision to drop its long-standing small pull request rule, arguing that the practice no longer serves its purpose now that AI agents generate most of its code. The company describes a shift from measuring PR size to assessing blast radius, with feature flags and rollback capability taking precedence over line counts.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
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      <pubDate>Fri, 07 Aug 2026 08:00:00 GMT</pubDate>
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      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-08-07T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/rootly-small-pr-agentic-ai/en</dc:identifier>
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      <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=Code+Reviews-news</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>Productivity</category>
      <category>Artificial Intelligence</category>
      <category>Threat Modeling</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Code Reviews</category>
      <category>Software Development</category>
      <category>Application Security</category>
      <category>DevSecOps</category>
      <category>Security</category>
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      <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=Code+Reviews-news</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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