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    <title>InfoQ</title>
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    <item>
      <title>Pinterest Engineers Eliminate CPU Zombies to Resolve Production Bottlenecks</title>
      <link>https://www.infoq.com/news/2026/05/pinterest-cpu-zombies-bottleneck/?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/2026/05/pinterest-cpu-zombies-bottleneck/en/headerimage/header-1778308038640.jpeg"/&gt;&lt;p&gt;Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused Amazon ECS agent, which caused memory cgroup leaks. By disabling the agent, they stabilised performance. This case illustrates the importance of understanding system defaults for effective troubleshooting.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Observability</category>
      <category>Debugging</category>
      <category>Performance Tuning</category>
      <category>Performance</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 14 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/pinterest-cpu-zombies-bottleneck/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-05-14T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/pinterest-cpu-zombies-bottleneck/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Traces Six Weeks of Claude Code Quality Complaints to Three Overlapping Product Changes</title>
      <link>https://www.infoq.com/news/2026/05/anthropic-claude-code-postmortem/?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/2026/05/anthropic-claude-code-postmortem/en/headerimage/generatedHeaderImage-1778491231246.jpg"/&gt;&lt;p&gt;Anthropic published a postmortem tracing six weeks of Claude Code quality complaints to three overlapping product-layer changes: a reasoning effort downgrade, a caching bug that progressively erased the model's own thinking, and a system prompt verbosity limit that caused a 3% quality drop. The API and model weights were unaffected. All issues were resolved April 20.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>AI Architecture</category>
      <category>Code Quality</category>
      <category>Anthropic</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 14 May 2026 09:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/anthropic-claude-code-postmortem/?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>2026-05-14T09:16:00Z</dc:date>
      <dc:identifier>/news/2026/05/anthropic-claude-code-postmortem/en</dc:identifier>
    </item>
    <item>
      <title>Kubernetes v1.36: Security Defaults Tighten as AI Workload Support Matures</title>
      <link>https://www.infoq.com/news/2026/05/kubernetes-1-36-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/kubernetes-1-36-released/en/headerimage/generatedHeaderImage-1778700325619.jpg"/&gt;&lt;p&gt;Kubernetes v1.36, released in 2026, includes 70 enhancements focused on security, AI workloads, and API scalability. Key features graduating to General Availability are User Namespaces, Mutating Admission Policies, and Fine-Grained Kubelet API Authorization. The release also addresses workload management and introduces new features for AI resource allocations.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Cloud Security</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 14 May 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/kubernetes-1-36-released/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-05-14T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/kubernetes-1-36-released/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Launches Claude Platform on AWS</title>
      <link>https://www.infoq.com/news/2026/05/anthropic-claude-aws/?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/2026/05/anthropic-claude-aws/en/headerimage/generatedHeaderImage-1778682420283.jpg"/&gt;&lt;p&gt;Anthropic has announced the general availability of Claude Platform on AWS, a new deployment option that gives AWS customers direct access to Anthropic’s native Claude platform using AWS authentication, billing, and monitoring services.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Claude</category>
      <category>AWS</category>
      <category>Large language models</category>
      <category>Software Development</category>
      <category>Cloud Computing</category>
      <category>Artificial Intelligence</category>
      <category>Anthropic</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 13 May 2026 19:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/anthropic-claude-aws/?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>2026-05-13T19:20:00Z</dc:date>
      <dc:identifier>/news/2026/05/anthropic-claude-aws/en</dc:identifier>
    </item>
    <item>
      <title>Airbnb Implements Context-Aware Identity Model to Support Privacy-First Social Features</title>
      <link>https://www.infoq.com/news/2026/05/airbnb-privacy-identity-model/?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/2026/05/airbnb-privacy-identity-model/en/headerimage/generatedHeaderImage-1777161122220.jpg"/&gt;&lt;p&gt;Airbnb has redesigned its identity system to support privacy-first social features in Experiences. The platform introduces context-specific profiles that separate global user identity from externally visible profiles, preventing cross-context linkage. The migration leveraged automated auditing, manual validation, and AI-assisted refactoring to enforce correct identity usage across services.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Access Control</category>
      <category>migration</category>
      <category>Security</category>
      <category>Social Networking</category>
      <category>Distributed Systems</category>
      <category>Authorization</category>
      <category>Data Privacy</category>
      <category>Platform Engineering</category>
      <category>AI Assisted Coding</category>
      <category>Identity Management</category>
      <category>Relationship</category>
      <category>Privacy</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Wed, 13 May 2026 14:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/airbnb-privacy-identity-model/?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>2026-05-13T14:46:00Z</dc:date>
      <dc:identifier>/news/2026/05/airbnb-privacy-identity-model/en</dc:identifier>
    </item>
    <item>
      <title>JEP 533 Tightens Exception Handling in Java's Structured Concurrency for JDK 27</title>
      <link>https://www.infoq.com/news/2026/05/jep-533-jdk-27/?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/2026/05/jep-533-jdk-27/en/headerimage/java-istock-image-01-1762720446658-1778607694352.jpg"/&gt;&lt;p&gt;JEP 533, Structured Concurrency, has reached integrated status for JDK 27. It refines exception handling and type safety in its API, particularly focusing on exception flow with a new ExecutionException type. Changes include an updated Joiner interface and a new open overload for easier configuration. The steady evolution signals ongoing development as feedback shapes the API.&lt;/p&gt; &lt;i&gt;By A N M Bazlur Rahman&lt;/i&gt;</description>
      <category>Java</category>
      <category>JDK 27</category>
      <category>Structured Concurrency</category>
      <category>Concurrency</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 13 May 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/jep-533-jdk-27/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>A N M Bazlur Rahman</dc:creator>
      <dc:date>2026-05-13T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/05/jep-533-jdk-27/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: What I Learned Building Multi-Agent Systems From Scratch</title>
      <link>https://www.infoq.com/presentations/multi-agent-system-lessons/?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/multi-agent-system-lessons/en/mediumimage/medium-1778068150406.jpeg"/&gt;&lt;p&gt;Paulo Arruda discusses Shopify’s evolution in AI adoption, moving from simple chat tools to a sophisticated swarm of specialized agents. He explains the transition from massive "all-in-one" prompts to lean, narrow-focused agent microservices that slash task times from hours to minutes. He also shares a future-looking hypothesis on using filesystem-based adapters to solve context bloat.&lt;/p&gt; &lt;i&gt;By Paulo Arruda&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>QCon AI 2025</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 13 May 2026 12:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/multi-agent-system-lessons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Paulo Arruda</dc:creator>
      <dc:date>2026-05-13T12:01:00Z</dc:date>
      <dc:identifier>/presentations/multi-agent-system-lessons/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Mathematics of Backlogs: Capacity Planning for Queue Recovery</title>
      <link>https://www.infoq.com/articles/capacity-planning-queue-recovery/?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/capacity-planning-queue-recovery/en/headerimage/The-Mathematics-of-Backlogs-Capacity-Planning-for-Queue-Recovery-header-1778227922596.jpg"/&gt;&lt;p&gt;Backlogs in distributed systems are arithmetic problems, not mysteries. This article provides practical formulas for calculating backlog drain time, sizing consumer headroom, and setting auto-scaling triggers. It covers key failure modes — retry amplification, metastable states, and cascading pipeline bottlenecks — plus when to shed load instead of draining.&lt;/p&gt; &lt;i&gt;By Rajesh Kumar Pandey&lt;/i&gt;</description>
      <category>Queue</category>
      <category>Load Testing</category>
      <category>Failure</category>
      <category>Capacity Planning</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Wed, 13 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/capacity-planning-queue-recovery/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Rajesh Kumar Pandey</dc:creator>
      <dc:date>2026-05-13T09:00:00Z</dc:date>
      <dc:identifier>/articles/capacity-planning-queue-recovery/en</dc:identifier>
    </item>
    <item>
      <title>Grafana's Pyroscope 2.0 Makes Continuous Profiling Practical at Scale</title>
      <link>https://www.infoq.com/news/2026/05/pyroscope-2-profiling/?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/2026/05/pyroscope-2-profiling/en/headerimage/generatedHeaderImage-1778539051167.jpg"/&gt;&lt;p&gt;Grafana Labs has launched Pyroscope 2.0, a rearchitected open-source continuous profiling database. This version improves storage costs, query performance, and operational complexity. Key changes include single write paths for profiles, stateless query processing, and enhanced capabilities for profiling data. It supports the OpenTelemetry Protocol, aligning with current trends in observability.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Observability</category>
      <category>Grafana</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 13 May 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/pyroscope-2-profiling/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-05-13T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/pyroscope-2-profiling/en</dc:identifier>
    </item>
    <item>
      <title>AWS WorkSpaces Now Lets AI Agents Operate Legacy Desktop Applications Without APIs</title>
      <link>https://www.infoq.com/news/2026/05/aws-workspaces-ai-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/2026/05/aws-workspaces-ai-agents/en/headerimage/generatedHeaderImage-1778485554177.jpg"/&gt;&lt;p&gt;AWS announced that Amazon WorkSpaces can now serve as managed virtual desktops for AI agents in public preview. Agents authenticate through IAM and operate legacy applications via computer vision and input simulation without APIs. Reflex benchmarks show vision agents consume 45x more tokens than API agents.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Automation</category>
      <category>AWS</category>
      <category>Cloud Architecture</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Amazon</category>
      <category>Cloud</category>
      <category>Amazon Web Services</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 13 May 2026 07:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/aws-workspaces-ai-agents/?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>2026-05-13T07:31:00Z</dc:date>
      <dc:identifier>/news/2026/05/aws-workspaces-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Beyond Coding: How Senior ICs Grow Influence and Drive Impact</title>
      <link>https://www.infoq.com/presentations/lessons-building-engineering-team/?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/lessons-building-engineering-team/en/mediumimage/medium-1778064119173.jpg"/&gt;&lt;p&gt;Netflix’s Kasia Trapszo discusses the transition from writing code to scaling organizations. She shares lessons on building trust through technical clarity, aligning teams to solve the "right" problems, and using intentional documentation to scale your judgment. Learn how to move beyond individual output to create a lasting architectural legacy that empowers others to make better decisions.&lt;/p&gt; &lt;i&gt;By Kasia Trapszo&lt;/i&gt;</description>
      <category>Team Leader</category>
      <category>Transcripts</category>
      <category>Staff Plus</category>
      <category>Team Performance</category>
      <category>QCon San Francisco 2025</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 12 May 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/lessons-building-engineering-team/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Kasia Trapszo</dc:creator>
      <dc:date>2026-05-12T13:00:00Z</dc:date>
      <dc:identifier>/presentations/lessons-building-engineering-team/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Expands Secret Scanning with General Availability of MCP Server Integration</title>
      <link>https://www.infoq.com/news/2026/05/github-mcp-secret-scanning/?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/2026/05/github-mcp-secret-scanning/en/headerimage/generatedHeaderImage-1778422946373.jpg"/&gt;&lt;p&gt;GitHub has announced the general availability of secret scanning support through its MCP Server, extending automated credential detection and remediation capabilities into AI-assisted and agent-driven development workflows.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>github</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Application Security</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 12 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/github-mcp-secret-scanning/?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>2026-05-12T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/github-mcp-secret-scanning/en</dc:identifier>
    </item>
    <item>
      <title>AdonisJS v7 Ships End-to-End Type Safety, Reworked Starter Kits and Zero-Config OpenTelemetry</title>
      <link>https://www.infoq.com/news/2026/05/adonis-v7-opentelemetry/?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/2026/05/adonis-v7-opentelemetry/en/headerimage/generatedHeaderImage-1778574705638.jpg"/&gt;&lt;p&gt;AdonisJS version 7 introduces end-to-end type safety and reworked starter kits, alongside improved documentation. The release includes 45+ updated packages and three new ones for OpenTelemetry, typed content. It requires Node.js 24, allowing the use of native APIs. The framework emphasizes a convention-over-configuration approach while offering tools for routing, ORM, and authentication.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Node.js</category>
      <category>TypeScript</category>
      <category>OpenTelemetry</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 12 May 2026 11:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/adonis-v7-opentelemetry/?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>2026-05-12T11:26:00Z</dc:date>
      <dc:identifier>/news/2026/05/adonis-v7-opentelemetry/en</dc:identifier>
    </item>
    <item>
      <title>Article: Time-Series Storage: Design Choices That Shape Cost and Performance</title>
      <link>https://www.infoq.com/articles/time-series-storage-design/?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/time-series-storage-design/en/headerimage/Time-Series-Storage-Design-Choices-That-Shape-Cost-and-Performance-header-1778155792101.jpg"/&gt;&lt;p&gt;Every time-series database makes a set of storage design decisions: how to lay out rows, when to compress, what to partition on. These decisions determine cost and query performance more than the choice of database itself. This article works through those fundamentals from first principles, using widely available tools like PostgreSQL and Apache Parquet to make each trade-off measurable.&lt;/p&gt; &lt;i&gt;By Nirmesh Khandelwal&lt;/i&gt;</description>
      <category>Big Data</category>
      <category>Time Series Data</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Tue, 12 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/time-series-storage-design/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Nirmesh Khandelwal</dc:creator>
      <dc:date>2026-05-12T09:00:00Z</dc:date>
      <dc:identifier>/articles/time-series-storage-design/en</dc:identifier>
    </item>
    <item>
      <title>Copy Fail and Dirty Frag: Linux Page-Cache Exploits Target Every Major Distribution</title>
      <link>https://www.infoq.com/news/2026/05/copy-fail-dirty-frag-linux/?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/2026/05/copy-fail-dirty-frag-linux/en/headerimage/generatedHeaderImage-1778536323907.jpg"/&gt;&lt;p&gt;Two recent Linux kernel vulnerabilities have been disclosed: Copy Fail (CVE-2026-31431) on April 29, 2026, and Dirty Frag (CVE-2026-43284 and CVE-2026-43500) on May 7, 2026. Both allow local users to gain root access, affecting multiple Linux distributions. These vulnerabilities exploit flaws in the page cache via different subsystems, necessitating immediate patching by affected organizations.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Linux</category>
      <category>Security Vulnerabilities</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 12 May 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/copy-fail-dirty-frag-linux/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-05-12T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/copy-fail-dirty-frag-linux/en</dc:identifier>
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