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    <title>InfoQ - Feedback</title>
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    <item>
      <title>Article: A Better Alternative to Reducing CI Regression Test Suite Sizes</title>
      <link>https://www.infoq.com/articles/alternative-reduce-test-suite-size/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Feedback</link>
      <description>&lt;img src="https://res.infoq.com/articles/alternative-reduce-test-suite-size/en/headerimage/alternative-reduce-test-suite-size-header-1774943323622.jpg"/&gt;&lt;p&gt;How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs.&lt;/p&gt; &lt;i&gt;By James Bornefelt Westfall&lt;/i&gt;</description>
      <category>Metrics</category>
      <category>Feedback</category>
      <category>Integration Test</category>
      <category>Testing</category>
      <category>Quality</category>
      <category>Defects</category>
      <category>Code Coverage</category>
      <category>Software Testing</category>
      <category>Regression Testing</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>article</category>
      <pubDate>Mon, 06 Apr 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/alternative-reduce-test-suite-size/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Feedback</guid>
      <dc:creator>James Bornefelt Westfall</dc:creator>
      <dc:date>2026-04-06T11:00:00Z</dc:date>
      <dc:identifier>/articles/alternative-reduce-test-suite-size/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Integrates AI to Improve Accessibility Issue Management and Automate Feedback Triage</title>
      <link>https://www.infoq.com/news/2026/04/github-ai-accessibility-workflow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Feedback</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/github-ai-accessibility-workflow/en/headerimage/intakeworkflow-1774202211278.jpeg"/&gt;&lt;p&gt;GitHub has launched a continuous AI-powered workflow to manage accessibility feedback at scale. Using GitHub Actions, Copilot, and Models APIs, the system centralizes reports, analyzes WCAG compliance, and automates triage while maintaining human validation. Teams now resolve feedback faster, improving inclusion and cross-functional collaboration.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>github</category>
      <category>AI Architecture</category>
      <category>Developer Experience</category>
      <category>AI Development</category>
      <category>Feedback</category>
      <category>Workflow / BPM</category>
      <category>Accessibility</category>
      <category>GitHub Actions</category>
      <category>copilot</category>
      <category>Inclusion</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 02 Apr 2026 14:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/github-ai-accessibility-workflow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Feedback</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-02T14:45:00Z</dc:date>
      <dc:identifier>/news/2026/04/github-ai-accessibility-workflow/en</dc:identifier>
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