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      <title>How Grab Improved Mobile App Stability by Safely Handling Surge in AI-Generated Code Changes</title>
      <link>https://www.infoq.com/news/2026/11/grab-ai-generated-code-safety/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Static+Analysis</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/grab-ai-generated-code-safety/en/headerimage/momentic-postgres-clickhouse-1794048104353.jpeg"/&gt;&lt;p&gt;The growing adoption of AI coding assistants has accelerated development and increased the volume of code changes per release, bringing more opportunities for defects and crashes, says Grab. To address these challenges, they implemented a layered defense strategy to prevent, detect, and contain crashes throughout the development and release lifecycle.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Static Analysis</category>
      <category>iOS</category>
      <category>Runtime Analytics</category>
      <category>Feature Toggle</category>
      <category>Continuous Improvement</category>
      <category>Android</category>
      <category>Mobile</category>
      <category>Testing</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
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      <pubDate>Sat, 07 Nov 2026 11:00:00 GMT</pubDate>
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      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-11-07T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/grab-ai-generated-code-safety/en</dc:identifier>
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