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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>Google Releases Gemini 4 Argon for Robotics Control, Simulation, and Policy Improvement</title>
      <link>https://www.infoq.com/news/2026/11/google-gemini-argon/?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/2026/11/google-gemini-argon/en/headerimage/generatedHeaderImage-1794224974378.jpg"/&gt;&lt;p&gt;Google has released Gemini 4 Argon framing it as a general-purpose physical-reasoning model for robot control, Real2Sim scene construction, multimodal labeling of robot video, and iterative policy improvement, rather than as a single end-effector policy.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Robotics</category>
      <category>Google</category>
      <category>Artificial Intelligence</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 09 Nov 2026 15:44:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/google-gemini-argon/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-11-09T15:44:00Z</dc:date>
      <dc:identifier>/news/2026/11/google-gemini-argon/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Develops Public Certificate Authority for Post-Quantum Web Security</title>
      <link>https://www.infoq.com/news/2026/11/cloudflare-merkle-certificates/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Cloudflare is developing a public certificate authority for Merkle Tree Certificates (MTCs) to reduce the bandwidth overhead of post-quantum cryptography. A Chrome experiment served billions of MTCs to 50% of Chrome Beta 146 for selected domains, reporting 9% faster median performance. Wider deployment depends on browser support, transparency, and production-scale validation.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Network Security</category>
      <category>Web Browser</category>
      <category>Architecture</category>
      <category>Internet</category>
      <category>Security</category>
      <category>Cryptography</category>
      <category>Digital Signature</category>
      <category>Quantum Computing</category>
      <category>Digital Identity</category>
      <category>Chrome</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 09 Nov 2026 14:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/cloudflare-merkle-certificates/?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>2026-11-09T14:35:00Z</dc:date>
      <dc:identifier>/news/2026/11/cloudflare-merkle-certificates/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches TorchNeuron to Run PyTorch Models on AWS Trainium Without Modifications</title>
      <link>https://www.infoq.com/news/2026/11/aws-torchneuron-trainium-pytorch/?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/2026/11/aws-torchneuron-trainium-pytorch/en/headerimage/functiongemma-1794220315671.jpeg"/&gt;&lt;p&gt;At the recent PyTorch Conference North America 2026, Amazon introduced TorchNeuron, a native PyTorch backend that enables developers to run existing PyTorch code on AWS Trainium AI chips with virtually no code modifications.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>PyTorch</category>
      <category>Large language models</category>
      <category>AWS</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 09 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/aws-torchneuron-trainium-pytorch/?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>2026-11-09T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/aws-torchneuron-trainium-pytorch/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Distributed LLM Inference on Kubernetes with llm-d, Wasm, &amp; TornadoVM</title>
      <link>https://www.infoq.com/podcasts/distributed-llm-inference-kubernetes/?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/distributed-llm-inference-kubernetes/en/smallimage/infoq-podcast-500-1793797932006.jpg"/&gt;&lt;p&gt;In this episode, Edoardo Vacchi discusses the evolving landscape of WebAssembly on the backend, running Java workloads on GPUs using TornadoVM, and optimizing distributed AI inference using llm-d and vLLM on Kubernetes. Edoardo explains how llm-d manages cache locality (KV and prefix caches), request routing, and batch inference across Kubernetes clusters to maximize expensive GPU utilization.&lt;/p&gt; &lt;i&gt;By Edoardo Vacchi&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>TornadoVM</category>
      <category>WebAssembly</category>
      <category>Artificial Intelligence</category>
      <category>Kubernetes</category>
      <category>Large language models</category>
      <category>Java</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Mon, 09 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/distributed-llm-inference-kubernetes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Edoardo Vacchi</dc:creator>
      <dc:date>2026-11-09T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/distributed-llm-inference-kubernetes/en</dc:identifier>
    </item>
    <item>
      <title>Article: Agentic AI Architecture: Current Challenges and Future Opportunities</title>
      <link>https://www.infoq.com/articles/agentic-ai-architecture-challenges-opportunities/?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/agentic-ai-architecture-challenges-opportunities/en/headerimage/agentic-ai-architecture-challenges-opportunities-header-1793709540690.jpg"/&gt;&lt;p&gt;Agentic AI architecture extends microservices and cloud-native architectures with AI agents that work with context, memory, and protocols such as MCP and A2A. The article covers bounded-context integration, task-dependent coordination strategies, new security risks, and observability needs. It expects gradual adoption alongside existing architectures, with platforms absorbing common components.&lt;/p&gt; &lt;i&gt;By Rafał Gancarz&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Context Engineering</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Large language models</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 09 Nov 2026 10:52:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agentic-ai-architecture-challenges-opportunities/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Rafał Gancarz</dc:creator>
      <dc:date>2026-11-09T10:52:00Z</dc:date>
      <dc:identifier>/articles/agentic-ai-architecture-challenges-opportunities/en</dc:identifier>
    </item>
    <item>
      <title>Pinterest Replaces Journey Clustering with 4B Qwen3 LLM, Reports Improved Engagement</title>
      <link>https://www.infoq.com/news/2026/11/pinterest-journey/?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/2026/11/pinterest-journey/en/headerimage/generatedHeaderImage-1793998579474.jpg"/&gt;&lt;p&gt;Pinterest has moved its user-journey inference system from a multi-stage clustering pipeline to a fine-tuned 4-billion-parameter language model, reporting a 1.1% improvement in email click-through and 1.3% higher push opens.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Model Inference</category>
      <category>Generative AI</category>
      <category>Large language models</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 09 Nov 2026 07:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/pinterest-journey/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-11-09T07:25:00Z</dc:date>
      <dc:identifier>/news/2026/11/pinterest-journey/en</dc:identifier>
    </item>
    <item>
      <title>Tokio Releases Topcoat: A Batteries-Included Full-Stack Rust Framework</title>
      <link>https://www.infoq.com/news/2026/11/topcoat-rust-framework/?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/2026/11/topcoat-rust-framework/en/headerimage/generatedHeaderImage-1793983973654.jpg"/&gt;&lt;p&gt;Topcoat is an open-source, server-rendered full-stack web framework for Rust from the Tokio team, now public at version 0.9. It uses Rust expressions translated to JavaScript for reactivity instead of WebAssembly. It targets typical database-driven apps. Releases are unstable, and authentication and background jobs remain on the roadmap.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Rust</category>
      <category>Django</category>
      <category>Frameworks</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 09 Nov 2026 06:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/topcoat-rust-framework/?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>2026-11-09T06:42:00Z</dc:date>
      <dc:identifier>/news/2026/11/topcoat-rust-framework/en</dc:identifier>
    </item>
    <item>
      <title>Entire's Git Forge Rethinks Git Collaboration for Coding Agents</title>
      <link>https://www.infoq.com/news/2026/11/entire-git-forge-coding-agents/?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/2026/11/entire-git-forge-coding-agents/en/headerimage/entire-git-forge-agents-1794134163813.jpeg"/&gt;&lt;p&gt;Entire is a Git forge designed specifically for collaboration between human developers and AI coding agents. Its premise is that traditional software development infrastructure, particularly the pull request (PR) model, is not well suited to an environment where AI agents generate, review, and iterate on code at high speed.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>GitLab</category>
      <category>AI coding agents</category>
      <category>Source Control</category>
      <category>github</category>
      <category>Large language models</category>
      <category>git</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 08 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/entire-git-forge-coding-agents/?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>2026-11-08T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/entire-git-forge-coding-agents/en</dc:identifier>
    </item>
    <item>
      <title>Google Cloud Adds Self-Managed VMware Cloud Foundation on Bare Metal</title>
      <link>https://www.infoq.com/news/2026/11/google-cloud-self-managed-vmware/?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/2026/11/google-cloud-self-managed-vmware/en/headerimage/generatedHeaderImage-1793604325753.jpg"/&gt;&lt;p&gt;Google Cloud has made a self-managed VMware solution generally available, running VMware Cloud Foundation 9.x on dedicated Z3 bare metal with root access across ESXi, vCenter and NSX in 22 regions. It sits beside the Google-managed VMware Engine and matches customer-operated offerings from AWS and Oracle, shifting lifecycle, patching and Broadcom licensing back to the customer.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Hardware</category>
      <category>Cloud</category>
      <category>Google Cloud</category>
      <category>Cloud Computing</category>
      <category>Infrastructure</category>
      <category>VMWare</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 08 Nov 2026 07:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/google-cloud-self-managed-vmware/?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>2026-11-08T07:16:00Z</dc:date>
      <dc:identifier>/news/2026/11/google-cloud-self-managed-vmware/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Scales D1 Control Plane to Millions of Databases</title>
      <link>https://www.infoq.com/news/2026/11/cloudflare-d1-control-plane/?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/2026/11/cloudflare-d1-control-plane/en/headerimage/generatedHeaderImage-1792577891694.jpg"/&gt;&lt;p&gt;In a recent article, Cloudflare shared the redesign of the control plane of its D1 serverless SQL database to support millions of databases, avoiding centralized bottlenecks, implementing retries and idempotency, and using eventual consistency.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Serverless</category>
      <category>Relational Databases</category>
      <category>Performance &amp; Scalability</category>
      <category>SQLite</category>
      <category>Edge Computing</category>
      <category>Postgres</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 08 Nov 2026 06:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/cloudflare-d1-control-plane/?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>2026-11-08T06:34:00Z</dc:date>
      <dc:identifier>/news/2026/11/cloudflare-d1-control-plane/en</dc:identifier>
    </item>
    <item>
      <title>How Grab Improved Mobile App Stability by Safely Handling Surge in AI-Generated Code Changes</title>
      <link>https://www.infoq.com/news/2026/11/grab-ai-generated-code-safety/?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/2026/11/grab-ai-generated-code-safety/en/headerimage/momentic-postgres-clickhouse-1794048104353.jpeg"/&gt;&lt;p&gt;The growing adoption of AI coding assistants has accelerated development and increased the volume of code changes per release, bringing more opportunities for defects and crashes, says Grab. To address these challenges, they implemented a layered defense strategy to prevent, detect, and contain crashes throughout the development and release lifecycle.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Static Analysis</category>
      <category>iOS</category>
      <category>Runtime Analytics</category>
      <category>Feature Toggle</category>
      <category>Continuous Improvement</category>
      <category>Android</category>
      <category>Mobile</category>
      <category>Testing</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 07 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/grab-ai-generated-code-safety/?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>2026-11-07T11:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/grab-ai-generated-code-safety/en</dc:identifier>
    </item>
    <item>
      <title>Open Source pg_vectorsearch Brings More Scalable Vector Search to PostgreSQL</title>
      <link>https://www.infoq.com/news/2026/11/postgresql-vector-search/?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/2026/11/postgresql-vector-search/en/headerimage/generatedHeaderImage-1792331528868.jpg"/&gt;&lt;p&gt;Tiger Data has released pg_vectorsearch, an open source PostgreSQL extension for vector similarity search, currently in alpha. Its PRISM index uses data partitioning and compression instead of the graph-based approach used by pgvector’s HNSW index, reducing memory requirements and index build times.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Database</category>
      <category>Relational Databases</category>
      <category>vector databases</category>
      <category>Open Source</category>
      <category>Postgres</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 07 Nov 2026 09:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/postgresql-vector-search/?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>2026-11-07T09:49:00Z</dc:date>
      <dc:identifier>/news/2026/11/postgresql-vector-search/en</dc:identifier>
    </item>
    <item>
      <title>Varlock Releases Bumpy: a File-Based Versioning Alternative to Changesets</title>
      <link>https://www.infoq.com/news/2026/11/bumpy-changesets-alternative/?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/2026/11/bumpy-changesets-alternative/en/headerimage/generatedHeaderImage-1793973539308.jpg"/&gt;&lt;p&gt;Bumpy is an MIT-licensed, TypeScript tool for version management and changelogs in monorepos. It follows the changesets workflow, using markdown bump files, and adds support for workspace and catalog protocols, custom publish commands, and branch-based prereleases. Changesets v3, released in August 2026, closed many earlier gaps, though differences remain.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 07 Nov 2026 06:54:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/bumpy-changesets-alternative/?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>2026-11-07T06:54:00Z</dc:date>
      <dc:identifier>/news/2026/11/bumpy-changesets-alternative/en</dc:identifier>
    </item>
    <item>
      <title>Yelp Combines Native and Server-Driven UI for its AI Assistant</title>
      <link>https://www.infoq.com/news/2026/11/yelp-assistant-hybrid-ui/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Yelp combines native mobile controls with server-driven conversation rendering in its AI Assistant using the CHAOS framework. The architecture separates view configuration from conversation data, supports backend-driven chat interactions, and enables faster UI updates without new app releases. Yelp also discusses cross-platform challenges and reuse for its Biz Ask Anything pilot.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Mobile Development</category>
      <category>ChatBots</category>
      <category>AI Architecture</category>
      <category>Cross Platform</category>
      <category>Event Driven Architecture</category>
      <category>Large language models</category>
      <category>Server-side rendering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 06 Nov 2026 14:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/yelp-assistant-hybrid-ui/?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>2026-11-06T14:25:00Z</dc:date>
      <dc:identifier>/news/2026/11/yelp-assistant-hybrid-ui/en</dc:identifier>
    </item>
    <item>
      <title>GitLab 19.5 Makes Agentic Development a Governed Part of the DevOps Platform</title>
      <link>https://www.infoq.com/news/2026/11/gitlab-19-5-agentic-platform/?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/2026/11/gitlab-19-5-agentic-platform/en/headerimage/generatedHeaderImage-1793095997884.jpg"/&gt;&lt;p&gt;GitLab 19.5, released on October 15, puts agentic software development and governance at the centre of the platform, making its GitLab MCP server generally available while expanding how external AI agents can interact with GitLab.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>GitLab</category>
      <category>AI coding agents</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Agents</category>
      <category>Agentic Development Lifecycle</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 06 Nov 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/gitlab-19-5-agentic-platform/?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>2026-11-06T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/gitlab-19-5-agentic-platform/en</dc:identifier>
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