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    <title>InfoQ</title>
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    <item>
      <title>Six Sessions at QCon AI Boston 2026 That Take Productionizing AI Seriously</title>
      <link>https://www.infoq.com/news/2026/05/qconai-boston-2026-talks/?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/qconai-boston-2026-talks/en/headerimage/QCon-AI-Boston-6-sessions-not-to-miss-1779365898274.jpg"/&gt;&lt;p&gt;QCon AI Boston 2026 is close to selling out. Six sessions where speakers engage directly with the gap between AI working in a demo and AI working in production.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Retrieval-Augmented Generation</category>
      <category>QCon AI Boston 2026</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>Security</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 21 May 2026 15:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/qconai-boston-2026-talks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-05-21T15:15:00Z</dc:date>
      <dc:identifier>/news/2026/05/qconai-boston-2026-talks/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Ironies of A^2 I^2</title>
      <link>https://www.infoq.com/presentations/automation-incidents-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/presentations/automation-incidents-ai/en/mediumimage/medium-1778662652640.jpg"/&gt;&lt;p&gt;J. Paul Reed discusses the "ironies of automation" - a 40 years-old concept now amplified by AI. He explains how advanced systems often make the human operator more crucial, not less, while simultaneously degrading the skills needed to intervene. Sharing real-world stories of "AI-fueled" incidents, he shares why over-reliance on AI can double recovery times and how to maintain resilience.&lt;/p&gt; &lt;i&gt;By J. Paul Reed&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Automation</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Incident Response</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Thu, 21 May 2026 12:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/automation-incidents-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>J. Paul Reed</dc:creator>
      <dc:date>2026-05-21T12:55:00Z</dc:date>
      <dc:identifier>/presentations/automation-incidents-ai/en</dc:identifier>
    </item>
    <item>
      <title>How Platform Engineering Using Golden Bricks Can Enable Fast and Smooth Delivery</title>
      <link>https://www.infoq.com/news/2026/05/platform-golden-bricks/?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/platform-golden-bricks/en/headerimage/platform-golden-bricks-header-1779109898033.jpg"/&gt;&lt;p&gt;Platform engineering should have a product focus, as developers are customers; they must provide composable, self-service capabilities, golden bricks rather than rigid golden paths, so teams can move quickly while maintaining consistency. Success is measured through adoption, developer experience, and business outcomes such as deployment frequency and change failure rate.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Feedback</category>
      <category>Platform Engineering</category>
      <category>Risk</category>
      <category>Developer Experience</category>
      <category>Architecture</category>
      <category>GOTO Conference</category>
      <category>Metrics</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 21 May 2026 11:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/platform-golden-bricks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-05-21T11:35:00Z</dc:date>
      <dc:identifier>/news/2026/05/platform-golden-bricks/en</dc:identifier>
    </item>
    <item>
      <title>OpenTofu 1.12 The Feature Terraform Never Shipped</title>
      <link>https://www.infoq.com/news/2026/05/opentofu-release-terraform/?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/opentofu-release-terraform/en/headerimage/generatedHeaderImage-1779290214223.jpg"/&gt;&lt;p&gt;The OpenTofu community released version 1.12.0 on May 14, 2026. This update isn’t a complete rewrite, but it does resolve some issues that infrastructure teams have faced for a while.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Terraform</category>
      <category>Infrastructure as Code</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 21 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/opentofu-release-terraform/?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>2026-05-21T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/opentofu-release-terraform/en</dc:identifier>
    </item>
    <item>
      <title>With Android CLI, Google is Making the Android Toolchain Agent-Friendly</title>
      <link>https://www.infoq.com/news/2026/05/agent-friendly-android-cli/?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/agent-friendly-android-cli/en/headerimage/agent-friendly-android-cli-1779355948593.jpeg"/&gt;&lt;p&gt;Google introduced new Android development tools that enable building apps up to 3x faster by using AI agents, including a redesigned Android command-line interface (CLI), structured skills", and an integrated knowledge base. These tools are designed to support agent-driven workflows and are compatible with third-party agents such as Claude Code and Codex, in addition to Google Gemini.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Google</category>
      <category>Mobile</category>
      <category>Agents</category>
      <category>Android</category>
      <category>Large language models</category>
      <category>Android Studio</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 21 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/agent-friendly-android-cli/?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>2026-05-21T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/agent-friendly-android-cli/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>Load Testing</category>
      <category>Failure</category>
      <category>Capacity Planning</category>
      <category>Queue</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Thu, 21 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>2026-05-21T09:00:00Z</dc:date>
      <dc:identifier>/articles/capacity-planning-queue-recovery/en</dc:identifier>
    </item>
    <item>
      <title>Designing a Multi-Agent System for Engineering Support at Scale: a Case Study from Grab</title>
      <link>https://www.infoq.com/news/2026/05/grab-multi-agent-support-system/?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/grab-multi-agent-support-system/en/headerimage/generatedHeaderImage-1778992985157.jpg"/&gt;&lt;p&gt;Grab’s Central Data Team built a multi-agent AI system to automate repetitive engineering support tasks across its data warehouse platform. The system separates investigation and enhancement workflows using specialized agents coordinated via an orchestration layer. It reduces operational load, improves resolution speed, and shifts engineering effort from firefighting to platform engineering work.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 20 May 2026 14:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/grab-multi-agent-support-system/?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>2026-05-20T14:38:00Z</dc:date>
      <dc:identifier>/news/2026/05/grab-multi-agent-support-system/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams</title>
      <link>https://www.infoq.com/presentations/ai-gateway-scalability/?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-gateway-scalability/en/mediumimage/medium-1778663382364.jpg"/&gt;&lt;p&gt;Meryem Arik discusses why modern engineering teams face "inference chaos" and how AI model gateways provide a critical control layer. She explains the balance between empowering decentralized teams to choose the best models and maintaining centralized oversight for security, RBAC, and cost control.  Explore open-source solutions like LiteLLM and Doubleword to streamline your AI infra.&lt;/p&gt; &lt;i&gt;By Meryem Arik&lt;/i&gt;</description>
      <category>QCon AI 2025</category>
      <category>Scalability</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Wed, 20 May 2026 12:40:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-gateway-scalability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Meryem Arik</dc:creator>
      <dc:date>2026-05-20T12:40:00Z</dc:date>
      <dc:identifier>/presentations/ai-gateway-scalability/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Outlines WebRTC Architecture for Low-Latency Voice AI at Scale</title>
      <link>https://www.infoq.com/news/2026/05/openai-voice-ai-scale/?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/openai-voice-ai-scale/en/headerimage/OpenAI-voice-header-1779194151282.jpeg"/&gt;&lt;p&gt;OpenAI recently outlined how it adapted WebRTC for low-latency voice AI at global scale. The new architecture replaced a conventional media termination model with a relay-transceiver design better suited to Kubernetes and cloud load balancers. It keeps WebRTC session state in a dedicated transceiver layer while using relays to reduce public UDP exposure and keep media routing close to users.&lt;/p&gt; &lt;i&gt;By Eran Stiller&lt;/i&gt;</description>
      <category>Cloud Architecture</category>
      <category>WebRTC</category>
      <category>Realtime API</category>
      <category>Voice-enabled UI</category>
      <category>OpenAI</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 20 May 2026 12:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/openai-voice-ai-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Eran Stiller</dc:creator>
      <dc:date>2026-05-20T12:30:00Z</dc:date>
      <dc:identifier>/news/2026/05/openai-voice-ai-scale/en</dc:identifier>
    </item>
    <item>
      <title>Pip 26.1 Ships Dependency Cooldowns and Experimental Lockfile Support to Combat Supply Chain Attacks</title>
      <link>https://www.infoq.com/news/2026/05/pip-261-dependency-cooldowns/?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;Pip 26.1 ships dependency cooldowns that enforce a waiting period before newly published packages can be installed, and experimental pylock.toml lockfile support from PEP 751. Research shows a 7-day cooldown would have prevented 8 out of 10 analyzed supply chain attacks from reaching end users.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Dependency Management</category>
      <category>Package Managers</category>
      <category>Software Supply Chain</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 20 May 2026 10:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/pip-261-dependency-cooldowns/?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>2026-05-20T10:04:00Z</dc:date>
      <dc:identifier>/news/2026/05/pip-261-dependency-cooldowns/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Introduces MCP Tunnels for Private Agent Access to Internal Systems</title>
      <link>https://www.infoq.com/news/2026/05/claude-mcp-tunnels/?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/claude-mcp-tunnels/en/headerimage/generatedHeaderImage-1779216964890.jpg"/&gt;&lt;p&gt;Anthropic has expanded its Claude Managed Agents platform with two enterprise-focused capabilities: self-hosted sandboxes and MCP tunnels. The release aims to address a recurring challenge in enterprise AI deployments, where organizations want to use autonomous agents but cannot allow execution environments or internal systems to leave their security perimeter.&lt;/p&gt; &lt;i&gt;By Robert Krzaczyński&lt;/i&gt;</description>
      <category>Claude</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 19 May 2026 19:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/claude-mcp-tunnels/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Robert Krzaczyński</dc:creator>
      <dc:date>2026-05-19T19:20:00Z</dc:date>
      <dc:identifier>/news/2026/05/claude-mcp-tunnels/en</dc:identifier>
    </item>
    <item>
      <title>Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery</title>
      <link>https://www.infoq.com/news/2026/05/agoda-multimodal-content-system/?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/agoda-multimodal-content-system/en/headerimage/generatedHeaderImage-1778985448660.jpg"/&gt;&lt;p&gt;Agoda Multimodal Content System&lt;/title&gt;&lt;link&gt;https://example.com/agoda-multimodal-content-system&lt;/link&gt;&lt;description&gt;Agoda unifies hotel images and guest reviews using a shared topic taxonomy, enabling multimodal retrieval across 700M+ images and multilingual reviews with offline enrichment and low-latency serving.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Search</category>
      <category>Multi-Model Databases</category>
      <category>Spark</category>
      <category>Machine Learning</category>
      <category>Enterprise Content Management</category>
      <category>Low Latency</category>
      <category>Architecture</category>
      <category>Data Pipelines</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 19 May 2026 14:29:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/agoda-multimodal-content-system/?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>2026-05-19T14:29:00Z</dc:date>
      <dc:identifier>/news/2026/05/agoda-multimodal-content-system/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Powering the Future: Building Your GenAI Infrastructure Stack</title>
      <link>https://www.infoq.com/presentations/infrastructure-ai-agent-development/?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/infrastructure-ai-agent-development/en/mediumimage/MerrinKurian-medium-1778662210003.jpeg"/&gt;&lt;p&gt;Merrin Kurian shares the architectural blueprints and organizational processes behind Intuit’s AI transformation. She explains the "fixed, flexible, free" framework used to scale GenOS across 8,000 developers, enabling 3,500+ production experiments. She discusses critical agent failure modes, the "LLM-as-a-judge" evaluation strategy, and how to build "tool-ready" APIs for the future.&lt;/p&gt; &lt;i&gt;By Merrin Kurian&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>Infrastructure</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 19 May 2026 12:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/infrastructure-ai-agent-development/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Merrin Kurian</dc:creator>
      <dc:date>2026-05-19T12:43:00Z</dc:date>
      <dc:identifier>/presentations/infrastructure-ai-agent-development/en</dc:identifier>
    </item>
    <item>
      <title>TanStack Details Sophisticated npm Supply Chain Attack That Compromised 42 Packages</title>
      <link>https://www.infoq.com/news/2026/05/tanstack-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/2026/05/tanstack-supply-chain-attack/en/headerimage/generatedHeaderImage-1778915238952.jpg"/&gt;&lt;p&gt;TanStack has released a detailed postmortem describing a sophisticated supply-chain attack that compromised 42 npm packages and published 84 malicious package versions in just six minutes, exposing developers and CI/CD systems to credential theft and malware propagation.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Application Security</category>
      <category>NPM</category>
      <category>Software Supply Chain</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 19 May 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/tanstack-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>2026-05-19T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/tanstack-supply-chain-attack/en</dc:identifier>
    </item>
    <item>
      <title>Article: Kernel-Level Ground Truth: Why eBPF is Replacing User-Space Agents for Security Observability</title>
      <link>https://www.infoq.com/articles/ebpf-for-security-observability/?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/ebpf-for-security-observability/en/headerimage/ebpf-for-security-observability-header-1778674557176.jpg"/&gt;&lt;p&gt;eBPF is emerging as a preferred method for security observability over traditional user-space agents. By attaching probes directly to the Linux kernel's syscall interface, it provides consistent visibility even during container-level compromises. eBPF reduces security-related CPU consumption and limits data volume by performing filtering at the kernel level, enhancing operational efficiency.&lt;/p&gt; &lt;i&gt;By Niranjan Sharma&lt;/i&gt;</description>
      <category>Application Security</category>
      <category>eBPF</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>article</category>
      <pubDate>Tue, 19 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ebpf-for-security-observability/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Niranjan Sharma</dc:creator>
      <dc:date>2026-05-19T09:00:00Z</dc:date>
      <dc:identifier>/articles/ebpf-for-security-observability/en</dc:identifier>
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