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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>Inside Google’s System for Coordinated A/B Testing Across Its Global Service Fleet</title>
      <link>https://www.infoq.com/news/2026/06/google-fleet-ab-experimentation/?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/2026/06/google-fleet-ab-experimentation/en/headerimage/generatedHeaderImage-1779569949510.jpg"/&gt;&lt;p&gt;Google has shared details of its fleet wide large scale A/B experimentation system designed to standardize experiment assignment, exposure logging, and configuration propagation across distributed services. The approach enables consistent measurement across products, reduces experiment conflicts, and improves reliability of data driven decision making at scale.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Distributed Systems</category>
      <category>Data-Driven Decision Making Series</category>
      <category>Feature Toggle</category>
      <category>Infrastructure</category>
      <category>Platforms</category>
      <category>Systems Thinking</category>
      <category>Logging</category>
      <category>User Experience</category>
      <category>A/B Testing</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 03 Jun 2026 14:54:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/google-fleet-ab-experimentation/?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>2026-06-03T14:54:00Z</dc:date>
      <dc:identifier>/news/2026/06/google-fleet-ab-experimentation/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Choosing Your AI Copilot: Maximizing Developer Productivity</title>
      <link>https://www.infoq.com/presentations/choosing-ai-copilot/?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/choosing-ai-copilot/en/mediumimage/medium-1779867439150.jpg"/&gt;&lt;p&gt;Sepehr Khosravi discusses the evolution of developer productivity tools. Evaluating the strengths of tools like Cursor and Claude Code, he explains actionable techniques for senior engineers - including context engineering, custom rules, and Model Context Protocol (MCP) integrations. He shares real-world benchmarks and strategic frameworks for balancing AI adoption with clean code quality.&lt;/p&gt; &lt;i&gt;By Sepehr Khosravi&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 03 Jun 2026 11:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/choosing-ai-copilot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sepehr Khosravi</dc:creator>
      <dc:date>2026-06-03T11:05:00Z</dc:date>
      <dc:identifier>/presentations/choosing-ai-copilot/en</dc:identifier>
    </item>
    <item>
      <title>Article: Two Misconfigurations That Caused Spark OOM Failures on Kubernetes</title>
      <link>https://www.infoq.com/articles/spark-oom-kubernetes-misconfigurations/?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/spark-oom-kubernetes-misconfigurations/en/headerimage/spark-oom-kubernetes-misconfigurations-header-1780044756757.jpg"/&gt;&lt;p&gt;After migrating Spark pipelines to Azure Kubernetes Service, two infrastructure settings interacted destructively: spark.kubernetes.local.dirs.tmpfs=true backed shuffle spill with RAM instead of disk, and a hard podAffinity rule forced all executors onto one node. Together, they caused repeated OOM kills invisible to standard diagnostics.&lt;/p&gt; &lt;i&gt;By Pranav Bhasker&lt;/i&gt;</description>
      <category>Apache Spark</category>
      <category>Cloud</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Wed, 03 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/spark-oom-kubernetes-misconfigurations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Pranav Bhasker</dc:creator>
      <dc:date>2026-06-03T09:00:00Z</dc:date>
      <dc:identifier>/articles/spark-oom-kubernetes-misconfigurations/en</dc:identifier>
    </item>
    <item>
      <title>Node.js Moves to One Major Release Per Year, Starting with Node 27</title>
      <link>https://www.infoq.com/news/2026/06/nodejs-release-changes/?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/2026/06/nodejs-release-changes/en/headerimage/generatedHeaderImage-1780400494858.jpg"/&gt;&lt;p&gt;Node.js will change its release schedule starting with version 27 in October 2026, moving from two major releases per year to one. All releases will become Long-Term Support (LTS), removing the distinction between odd and even versions. An Alpha channel for early testing will also be introduced. This decision addresses maintenance challenges and aims to align with user needs.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Versioning</category>
      <category>Semantic Versioning</category>
      <category>Release Management</category>
      <category>Node.js</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 03 Jun 2026 06:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/nodejs-release-changes/?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>2026-06-03T06:40:00Z</dc:date>
      <dc:identifier>/news/2026/06/nodejs-release-changes/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Human Toll of Incidents &amp; Ways To Mitigate It</title>
      <link>https://www.infoq.com/presentations/incident-response-mitigate/?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/incident-response-mitigate/en/mediumimage/kyle-lexmond-medium-1779869148329.jpg"/&gt;&lt;p&gt;Kyle Lexmond explains how to handle the high-pressure environment of severe production outages. He discusses the critical distinction between mitigation and root-cause resolution, sharing personal experiences from harrowing incident rooms. He shares valuable operational strategies on overcoming cognitive overload, establishing blameless cultures, and optimizing systems for faster recovery.&lt;/p&gt; &lt;i&gt;By Kyle Lexmond&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>QCon San Francisco 2025</category>
      <category>Best Practices</category>
      <category>Incident Response</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 02 Jun 2026 12:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/incident-response-mitigate/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Kyle Lexmond</dc:creator>
      <dc:date>2026-06-02T12:50:00Z</dc:date>
      <dc:identifier>/presentations/incident-response-mitigate/en</dc:identifier>
    </item>
    <item>
      <title>OpenTelemetry Launches “Blueprints” Initiative to Simplify Enterprise Observability Adoption</title>
      <link>https://www.infoq.com/news/2026/06/opentelemetry-blueprints-launch/?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/2026/06/opentelemetry-blueprints-launch/en/headerimage/generatedHeaderImage-1779952030610.jpg"/&gt;&lt;p&gt;OpenTelemetry has introduced a new "Blueprints" initiative aimed at reducing the growing complexity of deploying and operating observability systems at scale.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Observability</category>
      <category>OpenTelemetry</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 02 Jun 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/opentelemetry-blueprints-launch/?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>2026-06-02T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/opentelemetry-blueprints-launch/en</dc:identifier>
    </item>
    <item>
      <title>Article: Why Vector Search Alone Isn't Enough: Hybrid Retrieval for RAG</title>
      <link>https://www.infoq.com/articles/vector-search-hybrid-retrieval-rag/?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/vector-search-hybrid-retrieval-rag/en/headerimage/vector-search-hybrid-retrieval-rag-header-1779972811121.jpg"/&gt;&lt;p&gt;In this article, author Aaditya Chauhan discusses the limitations of RAG pipelines based purely on vector search and how an internal omni-search application using Reciprocal Rank Fusion (RRF) that combines BM25 and vector results, can enhance the search solution.&lt;/p&gt; &lt;i&gt;By Aaditya Chauhan&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Retrieval-Augmented Generation</category>
      <category>ElasticSearch</category>
      <category>vector databases</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Tue, 02 Jun 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/vector-search-hybrid-retrieval-rag/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Aaditya Chauhan</dc:creator>
      <dc:date>2026-06-02T09:00:00Z</dc:date>
      <dc:identifier>/articles/vector-search-hybrid-retrieval-rag/en</dc:identifier>
    </item>
    <item>
      <title>Google Workspace CLI: Unified Command-Line Tool Built for Humans and AI Agents</title>
      <link>https://www.infoq.com/news/2026/06/google-workspace-cli/?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/2026/06/google-workspace-cli/en/headerimage/generatedHeaderImage-1780314884182.jpg"/&gt;&lt;p&gt;Google has released a new CLI for Google Workspace, offering a unified interface for various services like Drive, Gmail, and Calendar. Built in Rust, the tool dynamically adjusts to API changes and features over 100 bundled skills. It requires Node.js and a Google Cloud project for setup. Initial community feedback is mixed, highlighting both its dynamic capabilities and setup challenges.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>CLI</category>
      <category>Google</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 02 Jun 2026 06:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/google-workspace-cli/?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>2026-06-02T06:33:00Z</dc:date>
      <dc:identifier>/news/2026/06/google-workspace-cli/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: OpenJDK JEPs, Hazelcast, Quarkus, Hibernate, Koog, JHipster, Introducing Endive</title>
      <link>https://www.infoq.com/news/2026/06/java-news-roundup-may25-2026/?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/2026/06/java-news-roundup-may25-2026/en/headerimage/java-news-roundup-image-1780348608154.jpg"/&gt;&lt;p&gt;This week's Java roundup for May 25th, 2026, features news highlighting: lifecycle changes with two of the JEPs that were targeted for JDK 27; the GA release of Koog 1.0; point releases of Hazelcast, Quarkus, Hibernate and JHipster; the eighth milestone release of Spring AI 2.0; and introducing Endive, a JVM-native WebAssembly (Wasm) runtime.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Endive</category>
      <category>Koog</category>
      <category>Open JDK</category>
      <category>Hibernate ORM</category>
      <category>JDK 27</category>
      <category>Hazelcast</category>
      <category>Spring AI</category>
      <category>Quarkus</category>
      <category>JHipster</category>
      <category>Java</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 01 Jun 2026 21:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/java-news-roundup-may25-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-06-01T21:30:00Z</dc:date>
      <dc:identifier>/news/2026/06/java-news-roundup-may25-2026/en</dc:identifier>
    </item>
    <item>
      <title>Claude Code Adds Dynamic Workflows for Parallel Agent Coordination</title>
      <link>https://www.infoq.com/news/2026/06/dynamic-workflows-claude-code/?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/2026/06/dynamic-workflows-claude-code/en/headerimage/generatedHeaderImage-1780332135620.jpg"/&gt;&lt;p&gt;Anthropic introduced Dynamic Workflows, a new capability for Claude Code designed to handle complex software engineering tasks by coordinating large numbers of AI agents within a single workflow.  The feature allows Claude to dynamically create orchestration scripts, break work into subtasks, run them in parallel, and validate results before presenting a final answer.&lt;/p&gt; &lt;i&gt;By Robert Krzaczyński&lt;/i&gt;</description>
      <category>Claude</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 01 Jun 2026 16:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/dynamic-workflows-claude-code/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Robert Krzaczyński</dc:creator>
      <dc:date>2026-06-01T16:55:00Z</dc:date>
      <dc:identifier>/news/2026/06/dynamic-workflows-claude-code/en</dc:identifier>
    </item>
    <item>
      <title>Shopify Reports 15X Faster Graphql Execution with Breadth First Engine</title>
      <link>https://www.infoq.com/news/2026/06/shopify-graphql-cardinal-bfs/?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/2026/06/shopify-graphql-cardinal-bfs/en/headerimage/generatedHeaderImage-1779561076024.jpg"/&gt;&lt;p&gt;Shopify introduced GraphQL Cardinal, a new execution engine replacing depth-first traversal with breadth-first execution. The redesign improves large-scale GraphQL performance with up to 15x faster field execution, 6x lower GC overhead, and +4s P50 latency gains. It focuses on execution-layer efficiency and batched resolver processing for high-cardinality commerce queries.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Distributed Systems</category>
      <category>GraphQL</category>
      <category>API</category>
      <category>Low Latency</category>
      <category>Platform Engineering</category>
      <category>Optimization</category>
      <category>Search</category>
      <category>Performance</category>
      <category>Microservices</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 01 Jun 2026 14:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/shopify-graphql-cardinal-bfs/?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>2026-06-01T14:25:00Z</dc:date>
      <dc:identifier>/news/2026/06/shopify-graphql-cardinal-bfs/en</dc:identifier>
    </item>
    <item>
      <title>BadHost Vulnerability Exposes AI Agents, Evaluators, and LLM Gateways</title>
      <link>https://www.infoq.com/news/2026/06/badhost-ai-systems-vulnerability/?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/2026/06/badhost-ai-systems-vulnerability/en/headerimage/badhost-ai-vulnerability-1780322270507.jpeg"/&gt;&lt;p&gt;BadHost is a high-severity authentication bypass vulnerability in the widely used Python web framework Starlette, with 325 million weekly downloads. The flaw allows attackers to use malformed HTTP Host headers to bypass path-based access controls and access sensitive AI agent infrastructure, among other systems.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Python</category>
      <category>Open Source</category>
      <category>Agents</category>
      <category>Security Vulnerabilities</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 01 Jun 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/06/badhost-ai-systems-vulnerability/?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>2026-06-01T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/06/badhost-ai-systems-vulnerability/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Theme Systems at Scale: How To Build Highly Customizable Software</title>
      <link>https://www.infoq.com/presentations/liquid-theme-system-dsl/?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/liquid-theme-system-dsl/en/mediumimage/medium-1779863262373.jpg"/&gt;&lt;p&gt;Shopify Staff Engineer Guilherme Carreiro discusses building and scaling highly customizable platforms. Using Shopify’s Liquid theme system as a case study, he explains how to balance extreme design flexibility with low-latency performance under massive traffic. He shares insights on implementing secure domain-specific languages, native code extensions, and resilient developer tooling.&lt;/p&gt; &lt;i&gt;By Guilherme Carreiro&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Case Study</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Domain Specific Languages</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 01 Jun 2026 11:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/liquid-theme-system-dsl/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Guilherme Carreiro</dc:creator>
      <dc:date>2026-06-01T11:30:00Z</dc:date>
      <dc:identifier>/presentations/liquid-theme-system-dsl/en</dc:identifier>
    </item>
    <item>
      <title>Article: The AI Productivity Paradox in Test Automation: Moving Beyond Structural Validation to Perception and Intent</title>
      <link>https://www.infoq.com/articles/solving-ai-productivity-paradox-test-automation/?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/solving-ai-productivity-paradox-test-automation/en/headerimage/solving-ai-productivity-paradox-test-automation-header-1779953915743.jpg"/&gt;&lt;p&gt;The AI productivity paradox states that AI scales whatever abstraction it is built on. If that abstraction is structurally brittle, it scales structural brittleness. This article shows how, to build a future of reliable, AI-driven test automation, we must stop scaling DOM-centric abstractions and build a new testing paradigm grounded in perception and intent.&lt;/p&gt; &lt;i&gt;By Amanul Chowdhury, Vinay Gummadavelli&lt;/i&gt;</description>
      <category>HTML</category>
      <category>Test Automation</category>
      <category>JavaScript</category>
      <category>Web Development</category>
      <category>UI Testing</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Mon, 01 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/solving-ai-productivity-paradox-test-automation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Amanul Chowdhury, Vinay Gummadavelli</dc:creator>
      <dc:date>2026-06-01T11:00:00Z</dc:date>
      <dc:identifier>/articles/solving-ai-productivity-paradox-test-automation/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Requirements Analysis for Architects: A Conversation with Sonya Natanzon</title>
      <link>https://www.infoq.com/podcasts/requirements-analysis-architects/?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/requirements-analysis-architects/en/smallimage/the-infoq-podcast-logo-thumbnail-1777539225222.jpg"/&gt;&lt;p&gt;Michael Stiefel spoke to Sonya Natanzon, about the intersection of technical and social aspects of software architecture. Understanding the business and how a company operates is more important than the specific technologies used. Effective requirements analysis requires focusing on problems to be solved that describe good and bad outcomes, rather than statements of need or solution statements.&lt;/p&gt; &lt;i&gt;By Sonya Natanzon&lt;/i&gt;</description>
      <category>Architecture</category>
      <category>Requirements</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>The InfoQ Podcast</category>
      <category>Enterprise Architecture</category>
      <category>Domain Driven Design</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 01 Jun 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/requirements-analysis-architects/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sonya Natanzon</dc:creator>
      <dc:date>2026-06-01T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/requirements-analysis-architects/en</dc:identifier>
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