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      <title>Inkitt Builds a One-Shot PR Creator with Resumable Agent Orchestration</title>
      <link>https://www.infoq.com/news/2026/11/inkitt-one-shot-pr-creator-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Architecture-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Inkitt built a one-shot pull request creator that automates small, low-risk code changes from task intake to draft PR creation. Its event-driven orchestrator persists workflow state, coordinates short-lived coding agent containers, bounds retries, and enforces permission restrictions while retaining human review and approval before changes can be merged.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Continuous Integration</category>
      <category>Agents</category>
      <category>AI Coding</category>
      <category>Orchestration</category>
      <category>Event Driven Architecture</category>
      <category>Continuous Delivery</category>
      <category>AI Architecture</category>
      <category>Productivity</category>
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      <category>Architecture &amp; Design</category>
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      <pubDate>Wed, 04 Nov 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/inkitt-one-shot-pr-creator-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Architecture-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-11-04T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/11/inkitt-one-shot-pr-creator-agent/en</dc:identifier>
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    <item>
      <title>DoorDash Cuts Grocery Reorder Latency from 16 to 2 Seconds with AI Agents</title>
      <link>https://www.infoq.com/news/2026/10/doordash-ai-grocery-reorder/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Architecture-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;DoorDash reduced grocery reorder latency from 16 to 2 seconds by precomputing recurring purchase needs using batch LLM inference and deterministic validation. Live catalog resolution keeps product selections current, while an editable shopping interface avoids unnecessary model calls. The company reports that shopping list views doubled and the flow’s order rate increased by approximately 34%&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Low Latency</category>
      <category>Orchestration</category>
      <category>Data Catalog</category>
      <category>Model Inference</category>
      <category>AI Architecture</category>
      <category>API Gateway</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 30 Oct 2026 13:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/doordash-ai-grocery-reorder/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Architecture-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-30T13:31:00Z</dc:date>
      <dc:identifier>/news/2026/10/doordash-ai-grocery-reorder/en</dc:identifier>
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    <item>
      <title>Production AI and Engineering Team Design: InfoQ’s November Certification Cohorts</title>
      <link>https://www.infoq.com/news/2026/10/online-cohorts-nov-certification/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Architecture-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/online-cohorts-nov-certification/en/headerimage/InfoQ-Nov-Cohorts-v3-1793013188536.jpg"/&gt;&lt;p&gt;A preview of three November InfoQ online certification cohorts covering production AI systems, retrieval and agent design, engineering team flow, AI roles, and measurement, facilitated by Adi Polak, Lan Chu, and Olimpiu Pop.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>InfoQ Certification Program</category>
      <category>AI Architecture</category>
      <category>Artificial Intelligence</category>
      <category>AI Engineering Certification</category>
      <category>AI Certification</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/online-cohorts-nov-certification/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Architecture-news</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-10-26T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/online-cohorts-nov-certification/en</dc:identifier>
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