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      <title>Article: Comprehension as an Architectural Characteristic: A System That Is Not Understood Cannot Evolve Safely</title>
      <link>https://www.infoq.com/articles/system-comprehension-evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Code+Reviews</link>
      <description>&lt;img src="https://res.infoq.com/articles/system-comprehension-evolutionary-architecture/en/headerimage/header-1786087830832.jpg"/&gt;&lt;p&gt;As AI commoditizes code output, system comprehension silently decays, creating cognitive debt that threatens safe architectural evolution. This article explores why human understanding must be treated as an essential architectural characteristic, offering actionable strategies, socio-technical metrics, and design checkpoints to preserve intent across modern engineering teams.&lt;/p&gt; &lt;i&gt;By Jacobus Meintjes, Narayana Rengaswamy, Paul Katsande, Sureshbabu Bikki&lt;/i&gt;</description>
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      <pubDate>Mon, 10 Aug 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Jacobus Meintjes, Narayana Rengaswamy, Paul Katsande, Sureshbabu Bikki</dc:creator>
      <dc:date>2026-08-10T11:00:00Z</dc:date>
      <dc:identifier>/articles/system-comprehension-evolutionary-architecture/en</dc:identifier>
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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</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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      <category>Code Reviews</category>
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      <pubDate>Fri, 07 Aug 2026 08:00:00 GMT</pubDate>
      <guid>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</guid>
      <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</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>Application Security</category>
      <category>Productivity</category>
      <category>Artificial Intelligence</category>
      <category>Threat Modeling</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Code Reviews</category>
      <category>DevSecOps</category>
      <category>Software Development</category>
      <category>Security</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</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=Code+Reviews</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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