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      <title>Airbnb Implements Context-Aware Identity Model to Support Privacy-First Social Features</title>
      <link>https://www.infoq.com/news/2026/05/airbnb-privacy-identity-model/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Assisted+Coding</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/airbnb-privacy-identity-model/en/headerimage/generatedHeaderImage-1777161122220.jpg"/&gt;&lt;p&gt;Airbnb has redesigned its identity system to support privacy-first social features in Experiences. The platform introduces context-specific profiles that separate global user identity from externally visible profiles, preventing cross-context linkage. The migration leveraged automated auditing, manual validation, and AI-assisted refactoring to enforce correct identity usage across services.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Access Control</category>
      <category>migration</category>
      <category>Security</category>
      <category>Social Networking</category>
      <category>Distributed Systems</category>
      <category>Authorization</category>
      <category>Data Privacy</category>
      <category>Platform Engineering</category>
      <category>AI Assisted Coding</category>
      <category>Identity Management</category>
      <category>Relationship</category>
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      <pubDate>Wed, 13 May 2026 14:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/airbnb-privacy-identity-model/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Assisted+Coding</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-13T14:46:00Z</dc:date>
      <dc:identifier>/news/2026/05/airbnb-privacy-identity-model/en</dc:identifier>
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    <item>
      <title>New DORA Report Claims Strong Engineering Foundations Drive AI Return on Investment</title>
      <link>https://www.infoq.com/news/2026/05/dora-roi-ai-assisted-dev-report/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Assisted+Coding</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/dora-roi-ai-assisted-dev-report/en/headerimage/generatedHeaderImage-1778428945703.jpg"/&gt;&lt;p&gt;Google Cloud's DORA team released a report detailing a framework for assessing the ROI of AI in software development. It emphasizes that successful AI implementation depends on organizational systems rather than just tools. The report introduces a J-Curve model for value realization. It also discusses the importance of workforce retention and process redesign for achieving long-term gains.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>ROI</category>
      <category>AI Assisted Coding</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 11 May 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/dora-roi-ai-assisted-dev-report/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Assisted+Coding</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-05-11T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/dora-roi-ai-assisted-dev-report/en</dc:identifier>
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      <title>OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows</title>
      <link>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Assisted+Coding</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/openai-websocket-responses-api/en/headerimage/generatedHeaderImage-1777845282531.jpg"/&gt;&lt;p&gt;OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic workflow performance in coding agents and real-time AI systems. The update reduces latency by up to 40 percent by replacing HTTP request-response cycles with persistent connections, improving streaming, tool execution, and multi-step orchestration in production-scale AI systems.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>OpenAI</category>
      <category>Realtime API</category>
      <category>API</category>
      <category>Workflow Foundation</category>
      <category>AI Architecture</category>
      <category>Optimization</category>
      <category>Orchestration</category>
      <category>WebSocket</category>
      <category>Large language models</category>
      <category>Low Latency</category>
      <category>Distributed Systems</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>AI Assisted Coding</category>
      <category>SDK</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 14:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=AI+Assisted+Coding</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-07T14:48:00Z</dc:date>
      <dc:identifier>/news/2026/05/openai-websocket-responses-api/en</dc:identifier>
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