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      <title>Article: The Platform Engineering Playbook for Production LLMs</title>
      <link>https://www.infoq.com/articles/platform-engineering-playbook-production-llms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/platform-engineering-playbook-production-llms/en/headerimage/platform-engineering-playbook-production-llms-header-1790763235683.jpg"/&gt;&lt;p&gt;In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one. He makes a case for a shared LLM platform with common services like prompt registry &amp; versioning, schema enforcement and token cost attribution by request.&lt;/p&gt; &lt;i&gt;By Aditya Mulik&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 05 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/platform-engineering-playbook-production-llms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-articles</guid>
      <dc:creator>Aditya Mulik</dc:creator>
      <dc:date>2026-10-05T11:00:00Z</dc:date>
      <dc:identifier>/articles/platform-engineering-playbook-production-llms/en</dc:identifier>
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      <title>Article: Five Ways to Use AI Coding Agents to Improve Your Software Architecture</title>
      <link>https://www.infoq.com/articles/ai-agents-improve-software-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/ai-agents-improve-software-architecture/en/headerimage/ai-agents-improve-software-architecture-header-1790153650841.jpg"/&gt;&lt;p&gt;Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if you don't understand them well. AI coding agents can help close that knowledge gap.&lt;/p&gt; &lt;i&gt;By Pierre Pureur, Kurt Bittner, Todd Miller&lt;/i&gt;</description>
      <category>AI coding agents</category>
      <category>Evolutionary Architecture</category>
      <category>Agents</category>
      <category>AI Coding</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 28 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-agents-improve-software-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agents-articles</guid>
      <dc:creator>Pierre Pureur, Kurt Bittner, Todd Miller</dc:creator>
      <dc:date>2026-09-28T11:00:00Z</dc:date>
      <dc:identifier>/articles/ai-agents-improve-software-architecture/en</dc:identifier>
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