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      <title>Article: From Prompts to Production: a Playbook for Agentic Development</title>
      <link>https://www.infoq.com/articles/prompts-to-production-playbook-for-agentic-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/prompts-to-production-playbook-for-agentic-development/en/headerimage/prompts-to-production-playbook-header-1770374539263.jpg"/&gt;&lt;p&gt;In this article, author Abhishek Goswami shares a practitioner's playbook with development practices, that describes building agentic AI applications and scaling them in production. He also presents core architecture patterns for agentic application development.&lt;/p&gt; &lt;i&gt;By Abhishek Goswami&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Patterns and Practices</category>
      <category>Artificial Intelligence</category>
      <category>Software Development Lifecycle</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Wed, 11 Feb 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/prompts-to-production-playbook-for-agentic-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development-articles</guid>
      <dc:creator>Abhishek Goswami</dc:creator>
      <dc:date>2026-02-11T09:00:00Z</dc:date>
      <dc:identifier>/articles/prompts-to-production-playbook-for-agentic-development/en</dc:identifier>
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      <title>Article: Building LLMs in Resource-Constrained Environments: a Hands-On Perspective</title>
      <link>https://www.infoq.com/articles/building-llms-resource-constrained-environments/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development-articles</link>
      <description>&lt;img src="https://res.infoq.com/articles/building-llms-resource-constrained-environments/en/headerimage/building-llms-resource-constrained-environments-header-1770217548603.jpg"/&gt;&lt;p&gt;In this article, the author argues that infrastructure and compute limitations can drive innovation. It demonstrates how smaller, efficient models, synthetic data generation, and disciplined engineering enable the creation of impactful LLM-based AI systems despite severe resource constraints.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Software Development</category>
      <category>Agents</category>
      <category>AI Development</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 09 Feb 2026 11:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/building-llms-resource-constrained-environments/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Software+Development-articles</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-02-09T11:31:00Z</dc:date>
      <dc:identifier>/articles/building-llms-resource-constrained-environments/en</dc:identifier>
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