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    <title>InfoQ - Claude</title>
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    <description>InfoQ Claude feed</description>
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      <title>Study Finds AI-generated Code Fails to Boost Productivity Due to Downstream Bottlenecks</title>
      <link>https://www.infoq.com/news/2026/10/jellyfish-ai-productivity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Claude</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/jellyfish-ai-productivity/en/headerimage/claude-built-c-compiler-1792676797236.jpeg"/&gt;&lt;p&gt;A recent Harvard study of 718 firms, using the Jellyfish analytics platform, finds that although AI coding assistants and agents increase code volume, this does not translate into a corresponding increase in completed work, partly because AI-generated code increases the workload in later stages of development, particularly code review.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>copilot</category>
      <category>Claude</category>
      <category>Productivity</category>
      <category>AI coding agents</category>
      <category>github</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 22 Oct 2026 14:00:00 GMT</pubDate>
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      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-10-22T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/jellyfish-ai-productivity/en</dc:identifier>
    </item>
    <item>
      <title>Reverse Engineer Anything Project Brings AI Agents to Binary Analysis</title>
      <link>https://www.infoq.com/news/2026/10/reverse-engineer-anything/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Claude</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/reverse-engineer-anything/en/headerimage/generatedHeaderImage-1791736473714.jpg"/&gt;&lt;p&gt;Reverse Engineer Anything (REA) is an open-source project with over 200K GitHub stars that connects coding agents such as Claude Code and Codex to reverse-engineering tools like Ghidra, Hopper, and IDA. The project lets developers inspect compiled binaries, trace function calls, and investigate how applications implement specific features.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>Reverse Engineering</category>
      <category>Static Analysis</category>
      <category>Agents</category>
      <category>Licensing</category>
      <category>Claude</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 17 Oct 2026 06:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/reverse-engineer-anything/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Claude</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-10-17T06:28:00Z</dc:date>
      <dc:identifier>/news/2026/10/reverse-engineer-anything/en</dc:identifier>
    </item>
    <item>
      <title>Spotify More Than Doubled Monthly Code Changes as AI Accelerated Development</title>
      <link>https://www.infoq.com/news/2026/10/spotify-ai-quality-controls/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Claude</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Spotify reports that AI-assisted development more than doubled monthly merged changes, prompting a review of quality and reliability controls across its engineering organization. The company describes changes to testing, observability, rollback capacity, workload prioritization, and automated maintenance as it adapts to higher software change volume.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Incident Response</category>
      <category>Observability</category>
      <category>Automation</category>
      <category>AI Assisted Coding</category>
      <category>Code Quality</category>
      <category>Productivity</category>
      <category>Continuous Deployment</category>
      <category>Developer Experience</category>
      <category>Continuous Integration</category>
      <category>Automated testing</category>
      <category>AI Coding</category>
      <category>Claude</category>
      <category>Software Development</category>
      <category>AI Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 12 Oct 2026 13:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/spotify-ai-quality-controls/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Claude</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-12T13:57:00Z</dc:date>
      <dc:identifier>/news/2026/10/spotify-ai-quality-controls/en</dc:identifier>
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