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    <title>InfoQ - Agentic AI Architecture</title>
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    <description>InfoQ Agentic AI Architecture feed</description>
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      <title>Uber Eats Rebuilds Search Pipeline to Cut End-to-End Latency by 50%</title>
      <link>https://www.infoq.com/news/2026/10/uber-eats-search-latency/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/uber-eats-search-latency/en/headerimage/generatedHeaderImage-1789856971928.jpg"/&gt;&lt;p&gt;Uber has rebuilt major parts of the Uber Eats search pipeline, reporting a 50% reduction in end-to-end latency. Changes include Above-the-Fold measurement, reduced retrieval work, parallel hydration, advertising data redesign, infrastructure optimizations, and an agentic coding workflow. Uber is also exploring microbatching, product-based retrieval, and HTTP multipart streaming.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Apache</category>
      <category>microbatching</category>
      <category>Search Engine</category>
      <category>Caching</category>
      <category>Uber</category>
      <category>Design Systems</category>
      <category>Apache Kafka</category>
      <category>Search</category>
      <category>Low Latency</category>
      <category>Lucene</category>
      <category>Agentic AI Architecture</category>
      <category>Optimization</category>
      <category>Rankings</category>
      <category>Go Language</category>
      <category>Performance &amp; Scalability</category>
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      <pubDate>Fri, 02 Oct 2026 14:22:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/uber-eats-search-latency/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-02T14:22:00Z</dc:date>
      <dc:identifier>/news/2026/10/uber-eats-search-latency/en</dc:identifier>
    </item>
    <item>
      <title>Google Open-Sources AX a Kubernetes Style Orchestrator for Autonomous AI Agents</title>
      <link>https://www.infoq.com/news/2026/09/google-ax-orchestrator/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/google-ax-orchestrator/en/headerimage/generatedHeaderImage-1790059907704.jpg"/&gt;&lt;p&gt;Google has open-sourced AX, an orchestrator designed for managing autonomous AI agent workloads. AX operates on a runtime, Agent Substrate, treating agents as stateful actors. It provides resource-efficient task suspension and resumption to optimise performance and reduce latency in idle phases. It features a control plane with Kubernetes-style primitives for managing agent tasks and resources.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Infrastructure</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 22 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/google-ax-orchestrator/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-22T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/google-ax-orchestrator/en</dc:identifier>
    </item>
    <item>
      <title>GitLab Duo Expands Self-Hosted AI Options through Microsoft Foundry</title>
      <link>https://www.infoq.com/news/2026/09/gitlab-microsoft-foundry/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/gitlab-microsoft-foundry/en/headerimage/generatedHeaderImage-1789544515151.jpg"/&gt;&lt;p&gt;GitLab has expanded GitLab Duo Self-Hosted to support models deployed through Microsoft Foundry, letting organizations run GitLab's AI development capabilities against models hosted in their chosen Azure environment.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>AI Development</category>
      <category>GitLab</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 22 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/gitlab-microsoft-foundry/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Agentic+AI+Architecture</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-09-22T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/gitlab-microsoft-foundry/en</dc:identifier>
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