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    <title>InfoQ</title>
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    <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>Transcripts</category>
      <category>Case Study</category>
      <category>QCon San Francisco 2025</category>
      <category>Hardware</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</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>Istio</category>
      <category>Cloud Native Computing Foundation</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>Security</category>
      <category>Claude</category>
      <category>Anthropic</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</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>Agents</category>
      <category>Gemini</category>
      <category>Claude</category>
      <category>Google</category>
      <category>Large language models</category>
      <category>Open Source</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</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>Big Data</category>
      <category>Optimization</category>
      <category>Cost Optimization</category>
      <category>Memory</category>
      <category>Architecture Analysis</category>
      <category>Batch Processing</category>
      <category>Observability</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>Apache Spark</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>Transcripts</category>
      <category>Case Study</category>
      <category>InfoQ Dev Summit Munich 2025</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>Testing</category>
      <category>Quality</category>
      <category>Software Testing</category>
      <category>Feedback</category>
      <category>Regression Testing</category>
      <category>Defects</category>
      <category>Code Coverage</category>
      <category>Integration Test</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>
    </item>
    <item>
      <title>Podcast: Context Engineering with Adi Polak</title>
      <link>https://www.infoq.com/podcasts/context-engineering-large-language-models/?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/context-engineering-large-language-models/en/smallimage/the-infoq-podcast-logo-thumbnail-1775129463355.jpg"/&gt;&lt;p&gt;In this episode, Thomas Betts and Adi Polak talk about the need for context engineering when interacting with LLMs and designing agentic systems. Prompt engineering techniques work with a stateless approach, while context engineering allows AI systems to be stateful.&lt;/p&gt; &lt;i&gt;By Adi Polak&lt;/i&gt;</description>
      <category>Agents</category>
      <category>The InfoQ Podcast</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Design</category>
      <category>Architecture</category>
      <category>Large language models</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Mon, 06 Apr 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/context-engineering-large-language-models/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Adi Polak</dc:creator>
      <dc:date>2026-04-06T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/context-engineering-large-language-models/en</dc:identifier>
    </item>
    <item>
      <title>Dynamic Languages Faster and Cheaper in 13-Language Claude Code Benchmark</title>
      <link>https://www.infoq.com/news/2026/04/ai-coding-language-benchmark/?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;A 600-run benchmark by Ruby committer Yusuke Endoh tested Claude Code across 13 languages, implementing a simplified Git. Ruby, Python, and JavaScript were the fastest and cheapest, at $0.36- $0.39 per run. Statistically typed languages cost 1.4-2.6x more. Adding type checkers to dynamic languages imposed 1.6-3.2x slowdowns. Full dataset available on GitHub.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Claude</category>
      <category>AI Coding</category>
      <category>Programming Languages</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 06 Apr 2026 04:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/ai-coding-language-benchmark/?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>2026-04-06T04:01:00Z</dc:date>
      <dc:identifier>/news/2026/04/ai-coding-language-benchmark/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: TornadoVM 4.0, Google ADK for Java 1.0, Grails, Tomcat, Log4j, Gradle</title>
      <link>https://www.infoq.com/news/2026/04/java-news-roundup-mar30-2026/?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/2026/04/java-news-roundup-mar30-2026/en/headerimage/java-istock-image-01-1775426752167.jpg"/&gt;&lt;p&gt;This week's Java roundup for March 30th, 2026, features news highlighting: the GA release of TornadoVM 4.0 and Google ADK for Java 1.0; first release candidates of Grails and Gradle; maintenance releases of Micronaut, Apache Tomcart and Apache Log4j; and an update on Jakarta EE 12.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Gradle</category>
      <category>Micronaut</category>
      <category>Grails</category>
      <category>log4j</category>
      <category>Apache Tomcat</category>
      <category>JDK 27</category>
      <category>Jakarta EE</category>
      <category>Java</category>
      <category>TornadoVM</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 06 Apr 2026 02:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/java-news-roundup-mar30-2026/?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>2026-04-06T02:30:00Z</dc:date>
      <dc:identifier>/news/2026/04/java-news-roundup-mar30-2026/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic  Designs Three-Agent Harness Supports Long-Running Full-Stack AI Development</title>
      <link>https://www.infoq.com/news/2026/04/anthropic-three-agent-harness-ai/?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/anthropic-three-agent-harness-ai/en/headerimage/generatedHeaderImage-1774590768994.jpg"/&gt;&lt;p&gt;Anthropic introduces a three-agent harness separating planning, generation, and evaluation to improve long-running autonomous AI workflows for frontend and full-stack development. Industry commentary highlights structured approaches, iterative evaluation, and practical methods to maintain coherence and quality over multi-hour AI coding sessions.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Software Engineering</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Architecture</category>
      <category>Orchestration</category>
      <category>SDK</category>
      <category>Front-end</category>
      <category>Workflow / BPM</category>
      <category>Model</category>
      <category>autonomous</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 04 Apr 2026 14:24:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/anthropic-three-agent-harness-ai/?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>2026-04-04T14:24:00Z</dc:date>
      <dc:identifier>/news/2026/04/anthropic-three-agent-harness-ai/en</dc:identifier>
    </item>
    <item>
      <title>TigerFS Mounts PostgreSQL Databases as a Filesystem for Developers and AI Agents</title>
      <link>https://www.infoq.com/news/2026/04/tigerfs-postgresql-filesystem/?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/tigerfs-postgresql-filesystem/en/headerimage/generatedHeaderImage-1774426958711.jpg"/&gt;&lt;p&gt;TigerFS is a new experimental filesystem that mounts a database as a directory and stores files directly in PostgreSQL. The open source project exposes database data through a standard filesystem interface, allowing developers and AI agents to interact with it using common Unix tools such as ls, cat, find, and grep, rather than via APIs or SDKs.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Database</category>
      <category>Agents</category>
      <category>Linux</category>
      <category>Postgres</category>
      <category>Fuse</category>
      <category>Open Source</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sat, 04 Apr 2026 08:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/tigerfs-postgresql-filesystem/?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>2026-04-04T08:18:00Z</dc:date>
      <dc:identifier>/news/2026/04/tigerfs-postgresql-filesystem/en</dc:identifier>
    </item>
    <item>
      <title>Swift 6.3 Stabilizes Android SDK, Extends C Interop, and More</title>
      <link>https://www.infoq.com/news/2026/04/swift-6-3-android-c-interop/?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/swift-6-3-android-c-interop/en/headerimage/swift-6-3-released-1775232816383.jpeg"/&gt;&lt;p&gt;Swift 6.3 advances Swift cross-platform story with official Android support, improves significantly C interoperability through the new @c attribute, and continues extending embedded programming support. It also strengthens the ecosystem with a unified build system direction and gives developers more low-level performance control.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>iOS</category>
      <category>Apple</category>
      <category>Embedded Software Dev</category>
      <category>MacOS</category>
      <category>Swift</category>
      <category>Open Source</category>
      <category>Android</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 03 Apr 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/swift-6-3-android-c-interop/?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>2026-04-03T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/swift-6-3-android-c-interop/en</dc:identifier>
    </item>
    <item>
      <title>Open Source Security Tool Trivy Hit by Supply Chain Attack, Prompting Urgent Industry Response</title>
      <link>https://www.infoq.com/news/2026/04/trivy-supply-chain-attack/?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/trivy-supply-chain-attack/en/headerimage/generatedHeaderImage-1774788388998.jpg"/&gt;&lt;p&gt;A major security incident affecting the widely used open source vulnerability scanner Trivy has exposed critical weaknesses in software supply chain security, after maintainers confirmed that a malicious release was briefly distributed to users.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Incident Response</category>
      <category>Cloud Security</category>
      <category>Open Source</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 03 Apr 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/trivy-supply-chain-attack/?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>2026-04-03T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/trivy-supply-chain-attack/en</dc:identifier>
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