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      <title>How Datadog Used Claude and Cursor for Test-Driven Production Migration</title>
      <link>https://www.infoq.com/news/2026/07/datadog-ai-production-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=FoundationDB-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/07/datadog-ai-production-migration/en/headerimage/datadog-ai-refactoring-1783667933483.jpeg"/&gt;&lt;p&gt;In a recent article, Datadog engineer Arnold Wakim shared what worked, what didn't, and the lessons they learned while evolving a critical production system using AI to overcome hard limits in its storage backend and significantly improve performance.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Performance &amp; Scalability</category>
      <category>Refactoring</category>
      <category>Claude</category>
      <category>Postgres</category>
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      <category>Large language models</category>
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      <pubDate>Fri, 10 Jul 2026 08:00:00 GMT</pubDate>
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      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-07-10T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/datadog-ai-production-migration/en</dc:identifier>
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