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    <title>InfoQ - Technical Debt - News</title>
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      <title>Technical Debt is Social; it is the Price of Learning by Doing</title>
      <link>https://www.infoq.com/news/2026/11/tech-debt-learning-doing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Technical+Debt-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/tech-debt-learning-doing/en/headerimage/header-1794404225270.jpg"/&gt;&lt;p&gt;Technical debt is not necessarily a sign of poor engineering. It can be the price of learning through software in use. As AI accelerates code production beyond our capacity to understand code and context, technical debt increasingly becomes a sociotechnical challenge.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>GOTO Conference</category>
      <category>Sociotechnical Architecture</category>
      <category>Technical Debt</category>
      <category>Artificial Intelligence</category>
      <category>learning</category>
      <category>Software Engineering</category>
      <category>Collaboration</category>
      <category>Agentic Development Lifecycle</category>
      <category>Culture &amp; Methods</category>
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      <pubDate>Thu, 12 Nov 2026 11:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/tech-debt-learning-doing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Technical+Debt-news</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-11-12T11:05:00Z</dc:date>
      <dc:identifier>/news/2026/11/tech-debt-learning-doing/en</dc:identifier>
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    <item>
      <title>Google Finds That Technical Debt Can Derail Coding Agents through "Agent Distraction"</title>
      <link>https://www.infoq.com/news/2026/11/google-agent-distraction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Technical+Debt-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/11/google-agent-distraction/en/headerimage/google-agetn-distraction-1794330388187.jpeg"/&gt;&lt;p&gt;In a recent article, Google senior staff software engineer Sam Saccone and senior staff data scientist Madhuri Garikapati highlighted the cost of agent distraction, where AI coding agents get derailed by stale technical debt, such as old TODO comments, obsolete bug references, and outdated specs, leading them to embark on unrequested "side-quests".&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>AI coding agents</category>
      <category>Technical Debt</category>
      <category>Google</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 10 Nov 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/google-agent-distraction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Technical+Debt-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-11-10T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/google-agent-distraction/en</dc:identifier>
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