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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=JIT-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>
      <category>Unit Testing</category>
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      <pubDate>Tue, 06 Jan 2026 15:00:00 GMT</pubDate>
      <guid>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=JIT-news</guid>
      <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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    <item>
      <title>Google Boosts  ART Compile Times by 18% without Compromising Code Quality</title>
      <link>https://www.infoq.com/news/2025/12/android-art-jit-aot-improvement/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=JIT-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2025/12/android-art-jit-aot-improvement/en/headerimage/android-art-jit-aot-imrpvements-1767124486330.jpeg"/&gt;&lt;p&gt;Google's Android Runtime (ART) team has achieved a 18% reduction in compile times for Android code without compromising code quality or increasing peak memory usage, delivering significant performance improvements for both just-in-time (JIT) and ahead-of-time (AOT) compilation.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Google</category>
      <category>JIT</category>
      <category>Mobile</category>
      <category>Performance</category>
      <category>AOT</category>
      <category>Android</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 30 Dec 2025 23:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2025/12/android-art-jit-aot-improvement/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=JIT-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2025-12-30T23:45:00Z</dc:date>
      <dc:identifier>/news/2025/12/android-art-jit-aot-improvement/en</dc:identifier>
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