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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>GitHub Introduces Default "Cooldown" Policy for Dependabot Version Updates</title>
      <link>https://www.infoq.com/news/2026/07/github-dependabot-cooldown/?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;Instead of immediately opening pull requests when newer dependency versions are released, Dependabot now waits three days before suggesting upgrades, thus increasing the likelihood that malicious releases are identified and removed before they can be integrated.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>github</category>
      <category>Security Vulnerabilities</category>
      <category>Software Supply Chain</category>
      <category>Dependency Management</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 28 Jul 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/github-dependabot-cooldown/?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>2026-07-28T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/github-dependabot-cooldown/en</dc:identifier>
    </item>
    <item>
      <title>Grafana Assistant Expands to More Than 30 Data Sources</title>
      <link>https://www.infoq.com/news/2026/07/grafana-assistant-data-source/?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/2026/07/grafana-assistant-data-source/en/headerimage/generatedHeaderImage-1785087229848.jpg"/&gt;&lt;p&gt;Grafana Labs has expanded the capabilities of Grafana Assistant, enabling its AI-powered observability assistant to query and correlate data across more than 30 different data sources through natural language.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Big Data</category>
      <category>Artificial Intelligence</category>
      <category>Grafana</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 28 Jul 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/grafana-assistant-data-source/?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>2026-07-28T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/grafana-assistant-data-source/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Future of Engineering: Mindsets That Matter When Code Isn’t Enough</title>
      <link>https://www.infoq.com/presentations/ai-future-engineering/?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-future-engineering/en/mediumimage/ben-greene-mediumm-1784809015374.jpeg"/&gt;&lt;p&gt;Ben Greene discusses how software engineers can adapt and thrive in an era of rapid AI code automation. Drawing on his startup experience, he explains key mindsets like starting simple, maintaining code comprehension, attacking hard problems first, and focusing on customer impact. He shares why human empathy, agency, and practical problem-solving remain irreplaceable when code is automated.&lt;/p&gt; &lt;i&gt;By Ben Greene&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Software Engineering</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 28 Jul 2026 11:10:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-future-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Greene</dc:creator>
      <dc:date>2026-07-28T11:10:00Z</dc:date>
      <dc:identifier>/presentations/ai-future-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Remix 3 Beta Preview Ditches React for a Web-Standards Full-Stack Framework</title>
      <link>https://www.infoq.com/news/2026/07/remix-3-beta-preview/?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/2026/07/remix-3-beta-preview/en/headerimage/generatedHeaderImage-1785171903193.jpg"/&gt;&lt;p&gt;Remix 3 is a full-stack web framework that moves away from React, focusing on web platform primitives. It integrates routes, request handlers, and UI components into a single structure, utilizing a forked Preact for the frontend. Unlike previous versions, it emphasizes server ownership of the request lifecycle. Migration from Remix 2 is not straightforward, as it requires changes to existing apps.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>React</category>
      <category>TypeScript</category>
      <category>Next.js</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 28 Jul 2026 09:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/remix-3-beta-preview/?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>2026-07-28T09:02:00Z</dc:date>
      <dc:identifier>/news/2026/07/remix-3-beta-preview/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Hard-Stop Rule: From 3 HCM Monoliths to 120 Domain Microservices</title>
      <link>https://www.infoq.com/articles/pull-based-migration/?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/pull-based-migration/en/headerimage/pull-based-migration-header-1784812950594.jpg"/&gt;&lt;p&gt;A payroll and HR software team rebuilt three monoliths into over 120 smaller services over five years, with no dedicated migration budget. Every new feature was built as its own service instead of changing the old ones. The article covers the pull-based migration, the tools that made this possible, how costs were kept down, and the problems the team ran into along the way.&lt;/p&gt; &lt;i&gt;By Prashanth Pasham&lt;/i&gt;</description>
      <category>Cloud Computing</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>Azure</category>
      <category>Feature Toggle</category>
      <category>Microservices</category>
      <category>Modular Monolith</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Tue, 28 Jul 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/pull-based-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Prashanth Pasham</dc:creator>
      <dc:date>2026-07-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/pull-based-migration/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Amazon GuardDuty Investigation Agent to Automate Threat Triage</title>
      <link>https://www.infoq.com/news/2026/07/guardduty-investigation-agent/?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/2026/07/guardduty-investigation-agent/en/headerimage/generatedHeaderImage-1784791165676.jpg"/&gt;&lt;p&gt;AWS released a public preview of the GuardDuty investigation agent, which correlates findings, 90-day activity logs, and resource topologies into structured reports with risk ratings, confidence scores, and MITRE ATT&amp;CK classification. It is reachable through the AWS MCP Server, so investigations can run from agentic tooling. Preview quotas cap usage at 10 investigations per account per day.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Cloud</category>
      <category>Information Security</category>
      <category>AWS</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 28 Jul 2026 07:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/guardduty-investigation-agent/?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>2026-07-28T07:14:00Z</dc:date>
      <dc:identifier>/news/2026/07/guardduty-investigation-agent/en</dc:identifier>
    </item>
    <item>
      <title>Uber’s Zero Growth Stack: Scaling Services, While Optimising Infrastructure and AI Cost</title>
      <link>https://www.infoq.com/news/2026/07/efficient-ai-infrastructure/?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;Uber's "Zero Growth Stack" focuses on scalable infrastructure that separates capacity growth from business demand, reducing hardware needs while enhancing service scaling. Central to this is garbage collection optimisation. Additionally, generative AI is integrated into development, elevating developer productivity while introducing cost management measures to maintain economic efficiency.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>AI Cost Optimisation</category>
      <category>Infrastructure Optimisation</category>
      <category>Infrastructure</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 28 Jul 2026 07:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/efficient-ai-infrastructure/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-07-28T07:07:00Z</dc:date>
      <dc:identifier>/news/2026/07/efficient-ai-infrastructure/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Releases .NET 11 Preview 6 With Language and Framework Updates</title>
      <link>https://www.infoq.com/news/2026/07/dotnet-11-preview-6/?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/2026/07/dotnet-11-preview-6/en/headerimage/twitterCard-1785154508838.jpg"/&gt;&lt;p&gt;Microsoft has released .NET 11 Preview 6, with updates across C#, ASP.NET Core, .NET MAUI, and Entity Framework Core. C# adds extension indexers and built-in union support types. ASP.NET Core brings async validation, automatic CSRF protection, and OpenAPI 3.2 by default. MAUI extends CollectionView to Windows, and EF Core adds FULL OUTER JOIN translation.&lt;/p&gt; &lt;i&gt;By Almir Vuk&lt;/i&gt;</description>
      <category>.NET 10</category>
      <category>.NET 9</category>
      <category>.NET 8</category>
      <category>.NET 11</category>
      <category>.NET</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 27 Jul 2026 15:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/dotnet-11-preview-6/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Almir Vuk</dc:creator>
      <dc:date>2026-07-27T15:09:00Z</dc:date>
      <dc:identifier>/news/2026/07/dotnet-11-preview-6/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: Simple JSON API, JEPs for JDK 28, Oracle CPUs, Embabel 1.0, Azul Payara, Helidon</title>
      <link>https://www.infoq.com/news/2026/07/java-news-roundup-jul20-2026/?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/2026/07/java-news-roundup-jul20-2026/en/headerimage/java-news-roundup-image-1785156898658.jpg"/&gt;&lt;p&gt;This week's Java roundup for July 20th, 2026, features news highlighting: two JEPs proposed to target for JDK 28; new JEPs 540 and 541, Simple JSON API (Incubator) and Deprecate the macOS/x64 Port for Removal, respectively; the July 2026 Critical Patch Update; the GA release of Embable 1.0; Azul Payara 7.2.0; and Helidon 4.5.1.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Azul Payara</category>
      <category>BellSoft</category>
      <category>JDK 28</category>
      <category>Embabel</category>
      <category>Java</category>
      <category>Helidon</category>
      <category>JDK 27</category>
      <category>Open JDK</category>
      <category>Oracle</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 27 Jul 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/java-news-roundup-jul20-2026/?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>2026-07-27T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/java-news-roundup-jul20-2026/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Rethinking Data: Moving From the Traditional Three-Tier Web Stack to Client-Side Event Sourcing</title>
      <link>https://www.infoq.com/podcasts/rethinking-data-client-event-sourcing/?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/rethinking-data-client-event-sourcing/en/smallimage/the-infoq-podcast-logo-thumbnail-1784890692565.jpg"/&gt;&lt;p&gt;Johannes Schickling explores how he moved beyond the traditional three-tier web stack to a local-first approach. He shares his experience transitioning from Prisma to developing Overtone—a music curation app leveraging client-side event sourcing and SQLite. The discussion highlights the trade-offs between event sourcing and CRDTs.&lt;/p&gt; &lt;i&gt;By Johannes Schickling&lt;/i&gt;</description>
      <category>Web App Developer</category>
      <category>UX</category>
      <category>The InfoQ Podcast</category>
      <category>Sovereignty</category>
      <category>Data</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 27 Jul 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/rethinking-data-client-event-sourcing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Johannes Schickling</dc:creator>
      <dc:date>2026-07-27T13:00:00Z</dc:date>
      <dc:identifier>/podcasts/rethinking-data-client-event-sourcing/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Clean Architecture for Serverless: Business Logic You Can Take Anywhere</title>
      <link>https://www.infoq.com/presentations/kotlin-serverless/?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/kotlin-serverless/en/mediumimage/elena-medium-1784808530534.jpeg"/&gt;&lt;p&gt;Elena van Engelen discusses how to eliminate serverless vendor lock-in without sacrificing native cloud capabilities. She explains how to structure FaaS applications using Clean Architecture, Spring Cloud Function, and Gradle modules to isolate business logic. Finally, she shares a live demo deploying portable Kotlin services across AWS and Azure using Terraform CDK for multi-cloud IaC.&lt;/p&gt; &lt;i&gt;By Elena van Engelen&lt;/i&gt;</description>
      <category>Kotlin</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Serverless</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 27 Jul 2026 11:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/kotlin-serverless/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Elena van Engelen</dc:creator>
      <dc:date>2026-07-27T11:26:00Z</dc:date>
      <dc:identifier>/presentations/kotlin-serverless/en</dc:identifier>
    </item>
    <item>
      <title>Article: An Evolutionary Architecture Pattern for Managing AI’s Pace of Change</title>
      <link>https://www.infoq.com/articles/evolutionary-architecture-pattern/?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/evolutionary-architecture-pattern/en/headerimage/evolutionary-architecture-pattern-header-1784798616611.jpg"/&gt;&lt;p&gt;Traditional API gateways assume deterministic services and simple schemas - assumptions agentic AI breaks. Discover why enterprise engineering leaders are adopting AI Gateways as an evolutionary architecture seam. Centralize guardrails, model routing, agent identity, action policy, and semantic audit within a single control plane to prevent costly incidents while keeping core platforms stable.&lt;/p&gt; &lt;i&gt;By Joe Price, Branimir Đurek, Pavlos Migkiros, Trevor Dearham&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Security</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Evolutionary Architecture</category>
      <category>InfoQ Certification Program</category>
      <category>Large language models</category>
      <category>Architecture ICSAET</category>
      <category>API Gateway</category>
      <category>Zero Trust</category>
      <category>Platform Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 27 Jul 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/evolutionary-architecture-pattern/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Joe Price, Branimir Đurek, Pavlos Migkiros, Trevor Dearham</dc:creator>
      <dc:date>2026-07-27T11:00:00Z</dc:date>
      <dc:identifier>/articles/evolutionary-architecture-pattern/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Details Its In-House LLM Serving Platform with Triton and vLLM</title>
      <link>https://www.infoq.com/news/2026/07/netflix-llm-platform/?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;Netflix has described the production lessons behind bringing LLM inference into its internal serving platform, including the challenges of supporting different model sizes, hardware requirements, and rapidly evolving inference engines.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Netflix</category>
      <category>AI Architecture</category>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>Model Inference</category>
      <category>Infrastructure</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 27 Jul 2026 07:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/netflix-llm-platform/?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>2026-07-27T07:33:00Z</dc:date>
      <dc:identifier>/news/2026/07/netflix-llm-platform/en</dc:identifier>
    </item>
    <item>
      <title>TanStack Table V9 Beta: Tree-Shakable Features, TanStack Store State, and Lower Memory Usage</title>
      <link>https://www.infoq.com/news/2026/07/tanstack-table-v9-beta/?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/2026/07/tanstack-table-v9-beta/en/headerimage/generatedHeaderImage-1784821719878.jpg"/&gt;&lt;p&gt;TanStack Table V9 is a beta release of a headless UI library for creating tables in various JavaScript frameworks. It features improved state management, memory usage, and extensibility. The notable change is an opt-in feature model, allowing developers to load only necessary components. Migration is gradual, with tools provided for legacy support. The library remains free and developer-focused.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>AngularJS</category>
      <category>React</category>
      <category>TypeScript</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 27 Jul 2026 05:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/tanstack-table-v9-beta/?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>2026-07-27T05:45:00Z</dc:date>
      <dc:identifier>/news/2026/07/tanstack-table-v9-beta/en</dc:identifier>
    </item>
    <item>
      <title>AI-Enabled Security Researchers Discover How a Crafted Video Can Provide Attackers Access to Your PC</title>
      <link>https://www.infoq.com/news/2026/07/pixelsmash-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/2026/07/pixelsmash-vulnerability/en/headerimage/generatedHeaderImage-1785042241189.jpg"/&gt;&lt;p&gt;JFrog Security Research revealed "PixelSmash," a vulnerability in the FFmpeg media framework, allowing for Remote Code Execution and Denial of Service attacks. Present for sixteen years, it affects numerous applications using the MagicYUV decoder. Exploitation requires only a crafted media file. Users are advised to check for the vulnerability and apply patches or disable the decoder if necessary.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Security Vulnerabilities</category>
      <category>FFmpeg Video Codec</category>
      <category>Video Codec</category>
      <category>Streaming Video</category>
      <category>Security</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 26 Jul 2026 09:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/pixelsmash-vulnerability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-07-26T09:09:00Z</dc:date>
      <dc:identifier>/news/2026/07/pixelsmash-vulnerability/en</dc:identifier>
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