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      <title>Stateless MCP Removes Session Affinity Requirements for AWS Server Deployments</title>
      <link>https://www.infoq.com/news/2026/09/aws-stateless-mcp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/aws-stateless-mcp/en/headerimage/generatedHeaderImage-1788807776891.jpg"/&gt;&lt;p&gt;AWS details how the latest Model Context Protocol specification removes protocol-level sessions, sticky-session requirements, and session storage for remote MCP servers. The change enables independent request routing and simpler horizontal scaling while shifting application state, retries, observability, and idempotency concerns to other layers.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Scaling</category>
      <category>Load Balancing</category>
      <category>Deployment</category>
      <category>OpenTelemetry</category>
      <category>Microservices</category>
      <category>Observability</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Architecture</category>
      <category>W3C</category>
      <category>Frameworks</category>
      <category>Serverless</category>
      <category>AWS Lambda</category>
      <category>AWS</category>
      <category>Distributed Systems</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
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      <pubDate>Fri, 25 Sep 2026 12:58:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/aws-stateless-mcp/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-25T12:58:00Z</dc:date>
      <dc:identifier>/news/2026/09/aws-stateless-mcp/en</dc:identifier>
    </item>
    <item>
      <title>DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags</title>
      <link>https://www.infoq.com/news/2026/09/doordash-feature-flag-cleanup/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/doordash-feature-flag-cleanup/en/headerimage/generatedHeaderImage-1788418529526.jpg"/&gt;&lt;p&gt;DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow combines live experimentation data through MCP, engineer approval, isolated Git worktrees, parallel agents, and automated validation. In an evaluation of 50 flags, 45 produced usable pull requests at an average of 13.8 minutes and $4.79 per cleanup.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Feature Injection</category>
      <category>A/B Testing</category>
      <category>Developer Experience</category>
      <category>Experiment Driven Development</category>
      <category>Static Analysis</category>
      <category>AI Assisted Coding</category>
      <category>Automation</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>git</category>
      <category>AI Coding</category>
      <category>Large language models</category>
      <category>github</category>
      <category>Agents</category>
      <category>Feature Toggle</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 18 Sep 2026 13:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/doordash-feature-flag-cleanup/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-18T13:50:00Z</dc:date>
      <dc:identifier>/news/2026/09/doordash-feature-flag-cleanup/en</dc:identifier>
    </item>
    <item>
      <title>Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads</title>
      <link>https://www.infoq.com/news/2026/09/dropbox-riviera-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Asynchronous Architecture</category>
      <category>Tika</category>
      <category>plugins</category>
      <category>Apache</category>
      <category>Large language models</category>
      <category>Platform Engineering</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Distributed Systems</category>
      <category>Enterprise Content Management</category>
      <category>Architecture</category>
      <category>Data Pipelines</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 16 Sep 2026 14:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/dropbox-riviera-ai-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Model+Context+Protocol+%28MCP%29-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-09-16T14:42:00Z</dc:date>
      <dc:identifier>/news/2026/09/dropbox-riviera-ai-platform/en</dc:identifier>
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