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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Google Rewrites Critical C Dependencies to Rust Using AI and Differential Fuzzing</title>
      <link>https://www.infoq.com/news/2026/09/c-rust-rewrite/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/c-rust-rewrite/en/headerimage/generatedHeaderImage-1790493245314.jpg"/&gt;&lt;p&gt;Google's security team developed a method to replace legacy C code in the giflib image-processing library with Rust, targeting inherent memory vulnerabilities. They utilised an automated migration process, ensuring compatibility and zero-day vulnerability mitigation. The project successfully maintained runtime performance while demonstrating that AI translations require ongoing human oversight.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Rust</category>
      <category>Memory Safety</category>
      <category>AI Harness</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 27 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/c-rust-rewrite/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-27T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/c-rust-rewrite/en</dc:identifier>
    </item>
    <item>
      <title>Swift 6.4 Brings Subprocess 1.0, Improved Interoperability, Faster Wasm, and More</title>
      <link>https://www.infoq.com/news/2026/09/swift-6-4-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/swift-6-4-released/en/headerimage/swift-5-9-macros-1790514732520.jpeg"/&gt;&lt;p&gt;The latest release of Swift, Swift 6.4, introduces a range of language and tooling improvements, including better performance through expanded support for non-copyable values, up to 40 times faster Wasm generated code, improved interoperability with C++20 and Java, and a new Subprocess library that provides a cross-platform API for launching and interacting with external processes.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Programming Languages</category>
      <category>Apple</category>
      <category>WebAssembly</category>
      <category>Open Source</category>
      <category>Mobile</category>
      <category>C++20</category>
      <category>Swift</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 27 Sep 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/swift-6-4-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-27T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/swift-6-4-released/en</dc:identifier>
    </item>
    <item>
      <title>GKE Pod Snapshots Cut Model Load Times, and Move the Work to Snapshot Lifecycle Management</title>
      <link>https://www.infoq.com/news/2026/09/gke-pod-snapshots-benchmarks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/gke-pod-snapshots-benchmarks/en/headerimage/generatedHeaderImage-1790233005037.jpg"/&gt;&lt;p&gt;Google has published benchmarks for GKE Pod snapshots, reporting up to 89% lower startup latency and a 70B model loading in 37 seconds. The feature checkpoints CPU and GPU memory through gVisor into Cloud Storage. Practitioners have asked whether invalidation is the harder problem, since snapshots match on a spec hash, machine series, and kernel and driver versions.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Containers</category>
      <category>Cloud</category>
      <category>Performance</category>
      <category>Kubernetes</category>
      <category>Google Cloud</category>
      <category>Machine Learning</category>
      <category>Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 27 Sep 2026 06:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/gke-pod-snapshots-benchmarks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-09-27T06:46:00Z</dc:date>
      <dc:identifier>/news/2026/09/gke-pod-snapshots-benchmarks/en</dc:identifier>
    </item>
    <item>
      <title>Docker Cloud Sandboxes Provide a Consistent Sandbox Abstraction Across Laptop and Cloud</title>
      <link>https://www.infoq.com/news/2026/09/docker-cloud-sandboxes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/docker-cloud-sandboxes/en/headerimage/dreamer-4-mincraft-agent-1790438799314.jpeg"/&gt;&lt;p&gt;Docker Cloud Sandboxes provide secure, hosted execution environments for running AI coding agents on Docker-managed infrastructure. Built on hardware-enforced microVM isolation, the platform provides a consistent execution environment and unified CLI workflows for seamlessly moving workloads from local machines to the cloud.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Containers</category>
      <category>Cloud</category>
      <category>Agents</category>
      <category>AI Security</category>
      <category>Docker</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 26 Sep 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/docker-cloud-sandboxes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-26T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/docker-cloud-sandboxes/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design</title>
      <link>https://www.infoq.com/presentations/adaptive-recommendation-systems-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/adaptive-recommendation-systems-architecture/en/mediumimage/mallika-medium-1789632229433.jpeg"/&gt;&lt;p&gt;Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedback loops, retrieval freshness, multi-stage orchestration, and end-to-end latency budgeting enable systems to continuously learn and evolve in production under real-world operational constraints like latency, cost, and observability.&lt;/p&gt; &lt;i&gt;By Mallika Rao&lt;/i&gt;</description>
      <category>Data</category>
      <category>Scaling</category>
      <category>Performance</category>
      <category>Transcripts</category>
      <category>Observability</category>
      <category>QCon AI Boston 2026</category>
      <category>Machine Learning</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 26 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/adaptive-recommendation-systems-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mallika Rao</dc:creator>
      <dc:date>2026-09-26T11:00:00Z</dc:date>
      <dc:identifier>/presentations/adaptive-recommendation-systems-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Details Its Migration from WordPress to EmDash</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-emdash-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/cloudflare-emdash-migration/en/headerimage/generatedHeaderImage-1788551109664.jpg"/&gt;&lt;p&gt;Cloudflare recently documented the migration of its main blog from WordPress to EmDash, the open source content management system developed internally. The new platform is designed to improve performance and caching, and it was tested to handle traffic of up to 7000 requests per second.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>WordPress</category>
      <category>Caching</category>
      <category>migration</category>
      <category>Portal/CMS</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 26 Sep 2026 09:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-emdash-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-09-26T09:38:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-emdash-migration/en</dc:identifier>
    </item>
    <item>
      <title>Home Made CobbleDB Replaces DynamoDB at Perplexity to Cut Query Latency 5x and Reduce Cloud Storage</title>
      <link>https://www.infoq.com/news/2026/09/cobbledb-perplexity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/cobbledb-perplexity/en/headerimage/headerCobble-1790251452770.jpg"/&gt;&lt;p&gt;Perplexity has migrated its search infrastructure from Amazon DynamoDB to CobbleDB, an internally developed key-value store in Rust. This change reduced latency and costs associated with handling large document batches. The new architecture supports high query volumes more efficiently, achieving improved latency and reduced storage expenses while managing significant production traffic.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Infrastructure Optimisation</category>
      <category>Key-Value Store</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 25 Sep 2026 14:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cobbledb-perplexity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-25T14:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/cobbledb-perplexity/en</dc:identifier>
    </item>
    <item>
      <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=global</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>Deployment</category>
      <category>Scaling</category>
      <category>Load Balancing</category>
      <category>OpenTelemetry</category>
      <category>Distributed Systems</category>
      <category>AWS Lambda</category>
      <category>AWS</category>
      <category>Serverless</category>
      <category>Microservices</category>
      <category>Observability</category>
      <category>W3C</category>
      <category>Frameworks</category>
      <category>AI Architecture</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <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=global</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>Grafana Turns Cypress Test Results Into Persistent Observability Data</title>
      <link>https://www.infoq.com/news/2026/09/grafana-cypress-observability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/grafana-cypress-observability/en/headerimage/generatedHeaderImage-1789545205777.jpg"/&gt;&lt;p&gt;Grafana Labs has published a practical approach for monitoring Cypress test suites by converting test results into Prometheus metrics and sending them to Grafana Cloud.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Automated testing</category>
      <category>Observability</category>
      <category>Grafana</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 25 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/grafana-cypress-observability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-09-25T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/grafana-cypress-observability/en</dc:identifier>
    </item>
    <item>
      <title>From Agent Authorization to AI Production Evaluation: QCon AI New York 2026</title>
      <link>https://www.infoq.com/news/2026/09/qcon-ai-newyork-2026-sessions/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/qcon-ai-newyork-2026-sessions/en/headerimage/qcon-ai-new-york-2026-1790249334674.jpg"/&gt;&lt;p&gt;QCon AI New York has confirmed 23 sessions covering agent authorization, production guardrails, shared inference infrastructure, and the evaluation of AI systems after deployment.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon Software Development Conference</category>
      <category>Architecture</category>
      <category>QCon AI New York 2026</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 25 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/qcon-ai-newyork-2026-sessions/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-09-25T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/qcon-ai-newyork-2026-sessions/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: The Future of AI: From Enterprise Adoption to Open Source Sovereignty</title>
      <link>https://www.infoq.com/podcasts/enterprise-adoption-open-source-sovereignty/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/enterprise-adoption-open-source-sovereignty/en/smallimage/infoq-podcast-500-1787827393574.jpg"/&gt;&lt;p&gt;In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith, demystify the current state of AI in the enterprise. The discussion navigates the "industrial revolution" moment in AI adoption, exploring why companies are rushing toward these technologies to maintain competitive advantages while grappling with reliability, ethical considerations, and the evolving role of software engineering.&lt;/p&gt; &lt;i&gt;By Meryem Arik, Clara Higuera Cabañes, Jeff Smith&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Open Source</category>
      <category>Responsibility</category>
      <category>Generative AI</category>
      <category>Artificial Intelligence</category>
      <category>The InfoQ Podcast</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Fri, 25 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/enterprise-adoption-open-source-sovereignty/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Meryem Arik, Clara Higuera Cabañes, Jeff Smith</dc:creator>
      <dc:date>2026-09-25T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/enterprise-adoption-open-source-sovereignty/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Spritely: Infrastructure for the Future of the Internet</title>
      <link>https://www.infoq.com/presentations/spritely-decentralized-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/spritely-decentralized-architecture/en/mediumimage/cd-medium-1789633126216.jpg"/&gt;&lt;p&gt;Christine Lemmer-Webber and David Thompson explain how Spritely's architecture solves core decentralization challenges. They share insights on capability-based access control with Goblins, actor-model communication via OCapN, and petname systems. Discover how Spritely leverages Scheme, WebAssembly (Hoot), and local-first CRDTs to build secure, peer-to-peer applications without central servers.&lt;/p&gt; &lt;i&gt;By Christine Lemmer-Webber, David Thompson&lt;/i&gt;</description>
      <category>CRDT</category>
      <category>WebAssembly</category>
      <category>P2P</category>
      <category>QCon London 2026</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>Local First</category>
      <category>Actor Model</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Fri, 25 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/spritely-decentralized-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Christine Lemmer-Webber, David Thompson</dc:creator>
      <dc:date>2026-09-25T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spritely-decentralized-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Agent Harness: What It Is and Two Ways to Build One</title>
      <link>https://www.infoq.com/articles/agent-harness-build-one/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/agent-harness-build-one/en/smallimage/The-Agent-Harness-What-It-Is-and-Two-Ways-to-Build-One-thumb-1789997776393.jpg"/&gt;&lt;p&gt;This article explains the development and operational layers of an agent harness through two implementations of a finance assistant: AWS AgentCore Harness and LangChain with Envoy AI Gateway. It compares how each handles tools, memory, model access, cost control, and observability, and examines the trade-offs in operational ownership, portability, and engineering effort.&lt;/p&gt; &lt;i&gt;By Trista Pan&lt;/i&gt;</description>
      <category>AI Harness</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Fri, 25 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agent-harness-build-one/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Trista Pan</dc:creator>
      <dc:date>2026-09-25T09:00:00Z</dc:date>
      <dc:identifier>/articles/agent-harness-build-one/en</dc:identifier>
    </item>
    <item>
      <title>Vercel Labs Ships scriptc, a TypeScript-to-Native Compiler That Leaves the JavaScript Engine Behind</title>
      <link>https://www.infoq.com/news/2026/09/vercel-scriptc-node/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/vercel-scriptc-node/en/headerimage/generatedHeaderImage-1790243494065.jpg"/&gt;&lt;p&gt;Vercel Labs has introduced scriptc, an experimental compiler that converts TypeScript into small native executables without relying on Node, V8, or a JavaScript engine. It uses the TypeScript compiler for type checking and can output C or WebAssembly code. Initial benchmarks show faster startup times and lower memory usage than Node, though it experiences slower execution speeds.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>JavaScript</category>
      <category>Node.js</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 25 Sep 2026 05:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/vercel-scriptc-node/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-09-25T05:49:00Z</dc:date>
      <dc:identifier>/news/2026/09/vercel-scriptc-node/en</dc:identifier>
    </item>
    <item>
      <title>What iOS Developers Need to Change in their Apps to Prepare for the iPhone Duo</title>
      <link>https://www.infoq.com/news/2026/09/apple-iphone-duo-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/09/apple-iphone-duo-api/en/headerimage/jetbrains-ai-assistant-ga-1790273405859.jpeg"/&gt;&lt;p&gt;With the upcoming introduction of the foldable iPhone Duo, iOS developers will need to adapt their apps to ensure they work correctly across the new device's outer display, larger inner display, and partially folded states. Developers will also need to account changes to navigation and toolbars, camera behavior, and new reserved regions.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Apple</category>
      <category>Mobile</category>
      <category>SwiftUI</category>
      <category>iOS</category>
      <category>Swift</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 24 Sep 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/apple-iphone-duo-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-24T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/apple-iphone-duo-api/en</dc:identifier>
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