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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>Tailwind CSS 4.2 Ships Webpack Plugin, New Palettes and Logical Property Utilities</title>
      <link>https://www.infoq.com/news/2026/04/tailwind-css-4-2-webpack/?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/2026/04/tailwind-css-4-2-webpack/en/headerimage/generatedHeaderImage-1775645510087.jpg"/&gt;&lt;p&gt;Tailwind CSS version 4.2.0, released on February 18, 2026, includes a webpack plugin for streamlined integration and four new color palettes. It expands logical property utilities and improves recompilation speed by 3.8x. This update is particularly beneficial for teams on existing projects and those developing multilingual applications.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>Bundlers</category>
      <category>CSS</category>
      <category>Web Development</category>
      <category>HTML</category>
      <category>Styling</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 08 Apr 2026 14:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/tailwind-css-4-2-webpack/?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>2026-04-08T14:48:00Z</dc:date>
      <dc:identifier>/news/2026/04/tailwind-css-4-2-webpack/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization</title>
      <link>https://www.infoq.com/news/2026/04/cloudflare-ai-caching-strategies/?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/2026/04/cloudflare-ai-caching-strategies/en/headerimage/aicrawler-1775341603564.jpeg"/&gt;&lt;p&gt;Cloudflare and ETH Zurich highlight how AI-driven crawler traffic challenges traditional caching in CDNs and databases. They propose AI-aware strategies including separate cache tiers, adaptive algorithms, and pay-per-crawl models to balance performance for human users and AI services while maintaining cache efficiency and system stability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>CDN</category>
      <category>Database</category>
      <category>AI Architecture</category>
      <category>Retrieval-Augmented Generation</category>
      <category>BOTS</category>
      <category>Caching</category>
      <category>Performance</category>
      <category>Machine Learning</category>
      <category>Distributed Cache</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 08 Apr 2026 14:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/cloudflare-ai-caching-strategies/?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>2026-04-08T14:20:00Z</dc:date>
      <dc:identifier>/news/2026/04/cloudflare-ai-caching-strategies/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Actions Custom Runner Images Reach General Availability</title>
      <link>https://www.infoq.com/news/2026/04/github-actions-custom-runners/?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/2026/04/github-actions-custom-runners/en/headerimage/generatedHeaderImage-1775640141930.jpg"/&gt;&lt;p&gt;GitHub has just announced the availability of custom images for its hosted runners. They've finally left the public preview phase that started back in October behind them. This feature will enable teams to use a GitHub-approved base image and then construct a virtual machine image that really meets their workflow requirements.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>github</category>
      <category>GitHub Actions</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 08 Apr 2026 14:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/github-actions-custom-runners/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-04-08T14:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/github-actions-custom-runners/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Local First – How To Build Software Which Still Works After the Acquihire</title>
      <link>https://www.infoq.com/presentations/local-first-build-software/?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/local-first-build-software/en/mediumimage/alex-good-medium-1774444019629.jpg"/&gt;&lt;p&gt;Alex Good discusses the fragility of modern cloud-dependent apps and shares a roadmap for "local-first" software. By leveraging a Git-like DAG structure and Automerge, he explains how to move from brittle client-server models to resilient systems where data lives on-device. He explores technical implementation, rich-text merging, and how this infrastructure simplifies engineering workflows.&lt;/p&gt; &lt;i&gt;By Alex Good&lt;/i&gt;</description>
      <category>QCon London 2025</category>
      <category>Best Practices</category>
      <category>Methodologies</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Wed, 08 Apr 2026 10:37:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/local-first-build-software/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Alex Good</dc:creator>
      <dc:date>2026-04-08T10:37:00Z</dc:date>
      <dc:identifier>/presentations/local-first-build-software/en</dc:identifier>
    </item>
    <item>
      <title>Article: Stateful Continuation for AI Agents: Why Transport Layers Now Matter</title>
      <link>https://www.infoq.com/articles/ai-agent-transport-layer/?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/ai-agent-transport-layer/en/headerimage/ai-agent-transport-layer-header-1775031603285.jpg"/&gt;&lt;p&gt;Agent workflows make transport a first-order concern. Multi-turn, tool-heavy loops amplify overhead that is negligible in single-turn LLM use. Stateful continuation cuts overhead dramatically. Caching context server-side can reduce client-sent data by 80%+ and improve execution time by 15–29% .&lt;/p&gt; &lt;i&gt;By Anirudh Mendiratta&lt;/i&gt;</description>
      <category>AI Assisted Coding</category>
      <category>HTTP</category>
      <category>WebSocket</category>
      <category>AI Coding</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Wed, 08 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-agent-transport-layer/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Anirudh Mendiratta</dc:creator>
      <dc:date>2026-04-08T09:00:00Z</dc:date>
      <dc:identifier>/articles/ai-agent-transport-layer/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: State of Play: AI Coding Assistants</title>
      <link>https://www.infoq.com/presentations/ai-coding-assistants/?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/ai-coding-assistants/en/mediumimage/birgitta-bockeler-medium-1775631877853.jpg"/&gt;&lt;p&gt;Birgitta Böckeler discusses the rapid evolution of AI agents, moving beyond "vibe coding" to sophisticated context engineering. She explains how architectural constraints and "harness engineering" create the safety nets required for autonomous code generation. She shares vital insights for leaders on balancing speed with maintainability, security risks, and the cost of AI autonomy.&lt;/p&gt; &lt;i&gt;By Birgitta Böckeler&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Agents</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 08 Apr 2026 08:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-coding-assistants/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Birgitta Böckeler</dc:creator>
      <dc:date>2026-04-08T08:34:00Z</dc:date>
      <dc:identifier>/presentations/ai-coding-assistants/en</dc:identifier>
    </item>
    <item>
      <title>Inside Spotify’s 2025 Wrapped Archive: AI Narratives at Scale and the Privacy Trade‑Off</title>
      <link>https://www.infoq.com/news/2026/04/spotify-wrapped-privacy/?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/2026/04/spotify-wrapped-privacy/en/headerimage/generatedHeaderImage-1775585324225.jpg"/&gt;&lt;p&gt;Spotify's engineering team developed the 2025 "Wrapped Archive," generating 1.4 billion personalized reports for 350 million users. This system identifies key listening days and crafts narratives using a language model. As companies increasingly provide narrative recaps, concerns about user privacy and data tracking persist, necessitating a balance between insights and privacy safeguards.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>User Experience</category>
      <category>Data Privacy</category>
      <category>Privacy</category>
      <category>Machine Learning</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Wed, 08 Apr 2026 07:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/spotify-wrapped-privacy/?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>2026-04-08T07:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/spotify-wrapped-privacy/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: When Every Bit Counts: How Valkey Rebuilt Its Hashtable for Modern Hardware</title>
      <link>https://www.infoq.com/presentations/hashtable-modern-hardware/?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/hashtable-modern-hardware/en/mediumimage/Madelyn-Olson-medium-1775046180324.jpeg"/&gt;&lt;p&gt;Madelyn Olson discusses the evolution of Valkey's data structures, moving away from "textbook" pointer-chasing HashMaps to more cache-aware designs. She explains the implementation of "Swedish" tables to maximize memory density. She shares insights on systems intuition, memory prefetching, and the rigorous testing needed for mission-critical caches.&lt;/p&gt; &lt;i&gt;By Madelyn Olson&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Hardware</category>
      <category>Case Study</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 07 Apr 2026 13:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/hashtable-modern-hardware/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Madelyn Olson</dc:creator>
      <dc:date>2026-04-07T13:40:00Z</dc:date>
      <dc:identifier>/presentations/hashtable-modern-hardware/en</dc:identifier>
    </item>
    <item>
      <title>Istio Evolves for the AI Era with Multicluster, Ambient Mode, and Inference Capabilities</title>
      <link>https://www.infoq.com/news/2026/04/istio-ai-multicluster/?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/2026/04/istio-ai-multicluster/en/headerimage/generatedHeaderImage-1775305820792.jpg"/&gt;&lt;p&gt;The Cloud Native Computing Foundation (CNCF) has announced a major evolution of Istio, introducing new capabilities aimed at making service meshes “future-ready” for AI-driven workloads.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Cloud Native Computing Foundation</category>
      <category>Istio</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 07 Apr 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/istio-ai-multicluster/?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>2026-04-07T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/istio-ai-multicluster/en</dc:identifier>
    </item>
    <item>
      <title>Article: Bloom Filters: Theory, Engineering Trade‑offs, and Implementation in Go</title>
      <link>https://www.infoq.com/articles/bloom-filters-practice-go-recommender/?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/bloom-filters-practice-go-recommender/en/headerimage/bloom-filters-practice-go-recommender-header-1774946606518.jpg"/&gt;&lt;p&gt;This article walks you through the Go implementation of Bloom filters to optimize the performance of a recommender. It cover the architectural view, Bloom filter mechanics, Go integration, parameter tuning,  and practical lessons learned from making it work under production constraints.&lt;/p&gt; &lt;i&gt;By Gabor Koos&lt;/i&gt;</description>
      <category>Optimization</category>
      <category>Performance &amp; Scalability</category>
      <category>Go Language</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Tue, 07 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/bloom-filters-practice-go-recommender/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Gabor Koos</dc:creator>
      <dc:date>2026-04-07T09:00:00Z</dc:date>
      <dc:identifier>/articles/bloom-filters-practice-go-recommender/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Accidentally Exposes Claude Code Source via npm Source Map File</title>
      <link>https://www.infoq.com/news/2026/04/claude-code-source-leak/?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/2026/04/claude-code-source-leak/en/headerimage/generatedHeaderImage-1775192937059.jpg"/&gt;&lt;p&gt;Anthropic's Claude Code CLI had its full TypeScript source exposed after a source map file was accidentally included in version 2.1.88 of its npm package. The 512,000-line codebase was archived to GitHub within hours. Anthropic called it a packaging error caused by human error. The leak revealed unreleased features, internal model codenames, and multi-agent orchestration architecture.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Anthropic</category>
      <category>Claude</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 07 Apr 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/claude-code-source-leak/?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>2026-04-07T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/claude-code-source-leak/en</dc:identifier>
    </item>
    <item>
      <title>Google Open Sources Experimental Multi-Agent Orchestration Testbed Scion</title>
      <link>https://www.infoq.com/news/2026/04/google-agent-testbed-scion/?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/2026/04/google-agent-testbed-scion/en/headerimage/google-scion-1775548099004.jpeg"/&gt;&lt;p&gt;Designed to manage concurrent agents running in containers across local and remote compute, Scion is an experimental orchestration testbed that enables developers to run groups of specialized agents with isolated identities, credentials, and shared workspaces.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Gemini</category>
      <category>Agents</category>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>Claude</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 07 Apr 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/google-agent-testbed-scion/?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>2026-04-07T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/google-agent-testbed-scion/en</dc:identifier>
    </item>
    <item>
      <title>Pinterest Reduces Spark OOM Failures by 96% Through Auto Memory Retries</title>
      <link>https://www.infoq.com/news/2026/04/pinterest-spark-oom-reduction/?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/2026/04/pinterest-spark-oom-reduction/en/headerimage/workflow-1775338668860.jpeg"/&gt;&lt;p&gt;Pinterest Engineering cut Apache Spark out-of-memory failures by 96% using improved observability, configuration tuning, and automatic memory retries. Staged rollout, dashboards, and proactive memory adjustments stabilized data pipelines, reduced manual intervention, and lowered operational overhead across tens of thousands of daily jobs.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Memory</category>
      <category>Apache Spark</category>
      <category>Cost Optimization</category>
      <category>Observability</category>
      <category>Batch Processing</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>Architecture Analysis</category>
      <category>Optimization</category>
      <category>Big Data</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 06 Apr 2026 14:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/pinterest-spark-oom-reduction/?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>2026-04-06T14:32:00Z</dc:date>
      <dc:identifier>/news/2026/04/pinterest-spark-oom-reduction/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Duolingo's Kubernetes Leap</title>
      <link>https://www.infoq.com/presentations/duolingo-eks-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/presentations/duolingo-eks-kubernetes/en/mediumimage/Franka-Passing-medium-1774441713171.jpg"/&gt;&lt;p&gt;Franka Passing discusses the architectural shift of Duolingo’s 500+ backend services to Kubernetes. She explains the move toward GitOps with Argo CD, the transition to IPv6-only pods, and the "cellular architecture" used to isolate environments. She shares "reports from the trenches" on managing developer trust, navigating AWS rate limits, and productionizing early adopter services.&lt;/p&gt; &lt;i&gt;By Franka Passing&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Case Study</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Mon, 06 Apr 2026 12:11:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/duolingo-eks-kubernetes/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Franka Passing</dc:creator>
      <dc:date>2026-04-06T12:11:00Z</dc:date>
      <dc:identifier>/presentations/duolingo-eks-kubernetes/en</dc:identifier>
    </item>
    <item>
      <title>Article: A Better Alternative to Reducing CI Regression Test Suite Sizes</title>
      <link>https://www.infoq.com/articles/alternative-reduce-test-suite-size/?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/alternative-reduce-test-suite-size/en/headerimage/alternative-reduce-test-suite-size-header-1774943323622.jpg"/&gt;&lt;p&gt;How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs.&lt;/p&gt; &lt;i&gt;By James Bornefelt Westfall&lt;/i&gt;</description>
      <category>Metrics</category>
      <category>Feedback</category>
      <category>Integration Test</category>
      <category>Testing</category>
      <category>Quality</category>
      <category>Defects</category>
      <category>Code Coverage</category>
      <category>Software Testing</category>
      <category>Regression Testing</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>article</category>
      <pubDate>Mon, 06 Apr 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/alternative-reduce-test-suite-size/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>James Bornefelt Westfall</dc:creator>
      <dc:date>2026-04-06T11:00:00Z</dc:date>
      <dc:identifier>/articles/alternative-reduce-test-suite-size/en</dc:identifier>
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