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      <title>AWS Introduces Strands Decider 2B and Strands Box for AI Agent Development</title>
      <link>https://www.infoq.com/news/2026/10/aws-strands-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/aws-strands-agents/en/headerimage/generatedHeaderImage-1792079603910.jpg"/&gt;&lt;p&gt;AWS has introduced two open-source projects for AI agent development: Strands Decider 2B, a small model designed to make decisions within agent workflows, and Strands Box, a sandbox for controlling agent execution. Both projects address different aspects of building agents that use tools, execute code, and interact with external systems.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Typesafe</category>
      <category>AWS</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 16 Oct 2026 10:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/aws-strands-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-10-16T10:47:00Z</dc:date>
      <dc:identifier>/news/2026/10/aws-strands-agents/en</dc:identifier>
    </item>
    <item>
      <title>Optimizing Software Workflow: Exploring Fundamental Impacts in Technology</title>
      <link>https://www.infoq.com/news/2026/10/optimize-software-workflow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/optimize-software-workflow/en/headerimage/header-1791282094936.jpg"/&gt;&lt;p&gt;Software only has value when shipped; faster release cadence matters. Development, deployment, and operations require different thinking, metrics, and investments. There are four impacts in tech: product success, compute capacity, engineering capacity, and strategic innovation. The biggest expense is people. AI shifts engineers toward deeper problem understanding, not fewer engineers.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Capacity Planning</category>
      <category>Metrics</category>
      <category>Measurement</category>
      <category>Software Engineering</category>
      <category>Agile Conferences</category>
      <category>Applied Research</category>
      <category>Planning</category>
      <category>Artificial Intelligence</category>
      <category>Delivering Value</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 15 Oct 2026 11:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/optimize-software-workflow/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-10-15T11:33:00Z</dc:date>
      <dc:identifier>/news/2026/10/optimize-software-workflow/en</dc:identifier>
    </item>
    <item>
      <title>Production Patterns for Agents, Evals, and LLM Costs: QCon AI New York 2026</title>
      <link>https://www.infoq.com/news/2026/10/qcon-ai-newyork-2026-sessionsv2/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/qcon-ai-newyork-2026-sessionsv2/en/headerimage/qcon-ai-new-york-2026-1791875885339.jpg"/&gt;&lt;p&gt;Once AI is in production, code arrives faster than it can be reviewed, token costs rise, evals have to be good enough to act on, and agents need permissions and guardrails. QCon AI New York 2026 (December 15-16) has confirmed sessions from engineers sharing how they handle these constraints.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>QCon AI New York 2026</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 13 Oct 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/qcon-ai-newyork-2026-sessionsv2/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-10-13T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/qcon-ai-newyork-2026-sessionsv2/en</dc:identifier>
    </item>
    <item>
      <title>AI in Production: What Breaks, What Works, and Who Approves it? | InfoQ Webinar</title>
      <link>https://www.infoq.com/news/2026/10/infoq-ai-webinar/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/infoq-ai-webinar/en/headerimage/InfoQ-Webinar-oct-2026-1791382183088.jpg"/&gt;&lt;p&gt;On October 14, InfoQ will host a free 60-minute panel with five practitioners on running AI in production. They'll discuss agent autonomy and human approval, how to verify AI-generated changes, sensitive-data exposure, and production RAG. Registrants can submit questions and will receive the recording.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Enterprise</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Security</category>
      <category>AI Engineering Certification</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 07 Oct 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/infoq-ai-webinar/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Artificial+Intelligence-news</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-10-07T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/infoq-ai-webinar/en</dc:identifier>
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