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      <title>Meta Applies Mutation Testing with LLM to Improve Compliance Coverage</title>
      <link>https://www.infoq.com/news/2026/01/meta-llm-mutation-testing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Unit+Testing-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/01/meta-llm-mutation-testing/en/headerimage/generatedHeaderImage-1766109627881.jpg"/&gt;&lt;p&gt;Meta applies large language models to mutation testing through its Automated Compliance Hardening system, generating targeted mutants and tests to improve compliance coverage, reduce overhead, and detect privacy and safety risks. The approach supports scalable, LLM-driven test generation and continuous compliance across Meta’s platforms.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Regression Testing</category>
      <category>Large language models</category>
      <category>Scalability</category>
      <category>JIT</category>
      <category>Compliance</category>
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      <pubDate>Tue, 06 Jan 2026 15:00:00 GMT</pubDate>
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      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-01-06T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/01/meta-llm-mutation-testing/en</dc:identifier>
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