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    <title>InfoQ</title>
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    <item>
      <title>Cloudflare WriteGuard Brings Fine-Grained Security Controls for MCP Servers</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-writeguard-mcp-safety/?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/2026/08/cloudflare-writeguard-mcp-safety/en/headerimage/cloudflare-writeguard-1787067902475.jpeg"/&gt;&lt;p&gt;Cloudflare is introducing WriteGuard, now in private beta, to provide fine-grained security controls for MCP (Model Context Protocol) servers. It aims to make AI agents safer by controlling their access to tools that can modify data or perform actions, rather than simply read information.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>Agentic AI Architecture</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-writeguard-mcp-safety/?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>2026-08-18T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-writeguard-mcp-safety/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Fab To Token - The State Of The Market</title>
      <link>https://www.infoq.com/presentations/ai-hardware-tokenomics/?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-hardware-tokenomics/en/mediumimage/jordan-nanos-medium-1786538855211.jpg"/&gt;&lt;p&gt;Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing from SemiAnalysis research, he shares insights on benchmark performance, GPU scaling, and tokenomics from chip fab to model inference.&lt;/p&gt; &lt;i&gt;By Jordan Nanos&lt;/i&gt;</description>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>AI Security</category>
      <category>Large language models</category>
      <category>GPU</category>
      <category>Model Inference</category>
      <category>Hardware</category>
      <category>Benchmark</category>
      <category>Infrastructure</category>
      <category>Performance</category>
      <category>Transcripts</category>
      <category>Data Analytics</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 18 Aug 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-hardware-tokenomics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Jordan Nanos</dc:creator>
      <dc:date>2026-08-18T16:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-hardware-tokenomics/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Open-Sources Agentic Workflow for Causal Inference</title>
      <link>https://www.infoq.com/news/2026/08/netflix-oci-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/2026/08/netflix-oci-agent/en/headerimage/generatedHeaderImage-1786886403321.jpg"/&gt;&lt;p&gt;Netflix open-sourced an agentic workflow for Observational Causal Inference (OCI) that reduces toil in causal analysis. Given observational data and the human user's analysis plan, the agent uses an actor-critic loop to estimate causality, write a report, and suggest next steps.&lt;/p&gt; &lt;i&gt;By Anthony Alford&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Netflix</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/netflix-oci-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Anthony Alford</dc:creator>
      <dc:date>2026-08-18T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/netflix-oci-agent/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Turning Outward: Growing From Code to Influence</title>
      <link>https://www.infoq.com/presentations/working-across-teams/?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/working-across-teams/en/mediumimage/BradGrantham-medium-1786538733504.jpg"/&gt;&lt;p&gt;Brad Grantham discusses how software engineers and architects can transition from individual contributors to influential technical leaders. Brad shares actionable insights on expanding skills into business and legal domains, adapting communication styles for non-technical stakeholders, moving past ego to empower teams, and navigating complex organizational dynamics to maximize engineering impact.&lt;/p&gt; &lt;i&gt;By Brad Grantham&lt;/i&gt;</description>
      <category>Collaboration</category>
      <category>Teamwork</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 18 Aug 2026 12:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/working-across-teams/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Brad Grantham</dc:creator>
      <dc:date>2026-08-18T12:31:00Z</dc:date>
      <dc:identifier>/presentations/working-across-teams/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Brings Stacked Pull Requests to Public Preview</title>
      <link>https://www.infoq.com/news/2026/08/github-stacked-pull-requests/?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/2026/08/github-stacked-pull-requests/en/headerimage/generatedHeaderImage-1786355296218.jpg"/&gt;&lt;p&gt;GitHub has announced that Stacked Pull Requests are now available in public preview, introducing native support for breaking large software changes into smaller, dependent pull requests that can be reviewed and merged independently.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>github</category>
      <category>AI Development</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/github-stacked-pull-requests/?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>2026-08-18T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/github-stacked-pull-requests/en</dc:identifier>
    </item>
    <item>
      <title>.NET 11 MAUI Preview 7 Adds Passkeys, Incremental XAML Hot Reload, and Shell Route Templates to MAUI</title>
      <link>https://www.infoq.com/news/2026/08/dotnet-11-preview7-maui/?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/2026/08/dotnet-11-preview7-maui/en/headerimage/header-1670341892423-1786909411379.jpg"/&gt;&lt;p&gt;Microsoft has released .NET 11 Preview 7 with a substantial set of .NET MAUI updates, including cross-platform passkey authentication, a new incremental XAML Hot Reload implementation, Shell route templates, and additional AOT-safe bindings. The release also continues MAUI’s migration from legacy renderers to handlers and improves development workflows on Android and Apple platforms.&lt;/p&gt; &lt;i&gt;By Edin Kapić&lt;/i&gt;</description>
      <category>.NET MAUI</category>
      <category>.NET</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/dotnet-11-preview7-maui/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Edin Kapić</dc:creator>
      <dc:date>2026-08-18T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/dotnet-11-preview7-maui/en</dc:identifier>
    </item>
    <item>
      <title>Major Frontier Model Providers Adopt Watermarking Tech to Comply with EU Regulation</title>
      <link>https://www.infoq.com/news/2026/08/eu-ai-content-watermark/?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;As of August 2, 2026, the EU AI Act Article 50 requires AI systems to mark synthetic outputs in a machine-detectable manner. Major vendors are implementing statistical watermarking methods, which influence natural language generation without affecting performance. This has prompted a swift reaction from the open-source community, raising compliance and vulnerability concerns.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Frontier Model</category>
      <category>EU Regulation</category>
      <category>Machine Learning</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/eu-ai-content-watermark/?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>2026-08-18T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/eu-ai-content-watermark/en</dc:identifier>
    </item>
    <item>
      <title>SpaceXAI Launches Grok Bot for Autonomous AI Agents</title>
      <link>https://www.infoq.com/news/2026/08/grok-bot-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/2026/08/grok-bot-agent/en/headerimage/generatedHeaderImage-1786979342385.jpg"/&gt;&lt;p&gt;SpaceXAI has introduced Grok Bot, a system of persistent AI agents that operate on dedicated cloud computers and can interact with websites, applications, inboxes, and other tools.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Software Development</category>
      <category>Agentic AI Architecture</category>
      <category>Anthropic</category>
      <category>Large language models</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 18:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/grok-bot-agent/?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>2026-08-17T18:02:00Z</dc:date>
      <dc:identifier>/news/2026/08/grok-bot-agent/en</dc:identifier>
    </item>
    <item>
      <title>JEP 540 Proposed to Target JDK 28 with a Simple JSON API</title>
      <link>https://www.infoq.com/news/2026/08/java-native-json-api/?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/2026/08/java-native-json-api/en/headerimage/generatedHeaderImage-1786934139615.jpg"/&gt;&lt;p&gt;JEP 540, Simple JSON API, has progressed to Target status for JDK 28. It introduces a compact API for parsing and generating JSON documents without external dependencies. Focused on core tasks, it provides an immutable value hierarchy. The API allows simple traversal and conversion while enforcing strict syntax rules. Feedback during incubation will shape its future development.&lt;/p&gt; &lt;i&gt;By A N M Bazlur Rahman&lt;/i&gt;</description>
      <category>JDK 28</category>
      <category>Java</category>
      <category>JEP</category>
      <category>JSON</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 14:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/java-native-json-api/?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>2026-08-17T14:18:00Z</dc:date>
      <dc:identifier>/news/2026/08/java-native-json-api/en</dc:identifier>
    </item>
    <item>
      <title>Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents</title>
      <link>https://www.infoq.com/news/2026/08/grab-ai-analytics-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/2026/08/grab-ai-analytics-agents/en/headerimage/generatedHeaderImage-1786600049929.jpg"/&gt;&lt;p&gt;Grab is using AI agents to automate analytics workflows, cutting mechanical analyst work from 44% in February to 30% in June. Its approach combines agent autonomy, certified data, context management and human oversight, with self service analytics increasingly handling metric, data and SQL requests without analyst intervention.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Business Analysis</category>
      <category>Funnel Analysis</category>
      <category>autonomous</category>
      <category>AI Development</category>
      <category>Agentic AI Architecture</category>
      <category>Automation</category>
      <category>Data Analysis</category>
      <category>Slack</category>
      <category>Data Analytics</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 13:41:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/grab-ai-analytics-agents/?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>2026-08-17T13:41:00Z</dc:date>
      <dc:identifier>/news/2026/08/grab-ai-analytics-agents/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Turns CI Pipelines into TypeScript Workflows</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-ci-code-workflows/?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/2026/08/cloudflare-ci-code-workflows/en/headerimage/header-1786802745789.jpeg"/&gt;&lt;p&gt;Cloudflare has released cloudflare/ci, a CI SDK that defines pipelines in TypeScript on top of Cloudflare Workflows, giving each step durable retries and replay, concurrent steps by default and Sandbox snapshot caching. It targets the Workers runtime and depends on Artifacts, still in private beta, so the transferable lesson is the durable-step model rather than a drop-in CI replacement.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Continuous Delivery</category>
      <category>Continuous Integration</category>
      <category>Cloudflare</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-ci-code-workflows/?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>2026-08-17T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-ci-code-workflows/en</dc:identifier>
    </item>
    <item>
      <title>shadcn Brings Conversational Primitives to shadcn/ui with New Chat Components</title>
      <link>https://www.infoq.com/news/2026/08/shadcn-conversational-primitives/?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/2026/08/shadcn-conversational-primitives/en/headerimage/generatedHeaderImage-1786954054004.jpg"/&gt;&lt;p&gt;Shadcn, a design engineer at Vercel, has introduced new components for chat interfaces within the shadcn/ui project. This release includes components like MessageScroller and Message, focusing on conversation functionality. The approach emphasizes modular design, allowing developers to adapt elements without affecting underlying logic or styles. Support for headless components is also provided.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>JavaScript</category>
      <category>TypeScript</category>
      <category>React</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 11:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/shadcn-conversational-primitives/?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>2026-08-17T11:01:00Z</dc:date>
      <dc:identifier>/news/2026/08/shadcn-conversational-primitives/en</dc:identifier>
    </item>
    <item>
      <title>Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules</title>
      <link>https://www.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/?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/agentic-fitness-functions-evolutionary-architecture/en/headerimage/header-1786428822427.jpg"/&gt;&lt;p&gt;Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy concerns—such as boundary fidelity, semantic contract drift, and stale ADR assumptions. Elevate evolutionary architecture governance with continuous, calibrated feedback loops.&lt;/p&gt; &lt;i&gt;By Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy&lt;/i&gt;</description>
      <category>Governance</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Code Quality</category>
      <category>Agentic AI Architecture</category>
      <category>Evolutionary Architecture</category>
      <category>InfoQ Certification Program</category>
      <category>Architecture Decision Records</category>
      <category>Architecture ICSAET</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 17 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy</dc:creator>
      <dc:date>2026-08-17T11:00:00Z</dc:date>
      <dc:identifier>/articles/agentic-fitness-functions-evolutionary-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Will Agentic AI Bring Fantasia’s Sorcerer's Apprentice to Life?: A Conversation with Tracy Bannon</title>
      <link>https://www.infoq.com/podcasts/agentic-ai-sorcerers-apprentice/?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/agentic-ai-sorcerers-apprentice/en/smallimage/infoq-podcast-500-1787058367301.jpg"/&gt;&lt;p&gt;In this podcast, Michael Stiefel spoke to Tracy Bannon about the role of artificial intelligence in software and the attendant risks in the areas of security, software development, and society at large. While it might be reasonable to assume a certain amount of trust within a software ecosystem, the risks escalate when the boundary between two software ecosystems is crossed.&lt;/p&gt; &lt;i&gt;By Tracy Bannon&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>The InfoQ Podcast</category>
      <category>Large language models</category>
      <category>Software Development Lifecycle</category>
      <category>Architecture</category>
      <category>Security</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 17 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/agentic-ai-sorcerers-apprentice/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Tracy Bannon</dc:creator>
      <dc:date>2026-08-17T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/agentic-ai-sorcerers-apprentice/en</dc:identifier>
    </item>
    <item>
      <title>Grafana's gcx and MCP Server Reach GA for Telemetry-Driven Agent Development</title>
      <link>https://www.infoq.com/news/2026/08/grafana-mcp-server-telemetry/?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/2026/08/grafana-mcp-server-telemetry/en/headerimage/generatedHeaderImage-1786612098902.jpg"/&gt;&lt;p&gt;Grafana Labs has announced general availability for two tools that let AI coding agents query live observability data during development: the gcx CLI and the Grafana MCP server. Both allow agents to pull metrics, logs, traces, SLOs, and Synthetic Monitoring results from Grafana Cloud or a self-hosted stack&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Grafana</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/grafana-mcp-server-telemetry/?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>2026-08-17T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/grafana-mcp-server-telemetry/en</dc:identifier>
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