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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <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>
    </item>
    <item>
      <title>Vite Version 8: Unified Rust-Based Bundler and Up to 30x Faster Builds</title>
      <link>https://www.infoq.com/news/2026/05/vite-v8-rust/?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/vite-v8-rust/en/headerimage/generatedHeaderImage-1778770731355.jpg"/&gt;&lt;p&gt;Vite 8.0 introduces a significant architectural change, migrating from a dual-bundler setup to a single Rust-based bundler called Rolldown. This update enhances build speeds, reporting reductions from 46 seconds to 6 seconds in some projects. The release includes developer experience improvements and maintains compatibility with the existing plugin ecosystem.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>TypeScript</category>
      <category>JavaScript</category>
      <category>Web Development</category>
      <category>Rust</category>
      <category>Web Deploy</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 19 May 2026 06:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/vite-v8-rust/?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>2026-05-19T06:57:00Z</dc:date>
      <dc:identifier>/news/2026/05/vite-v8-rust/en</dc:identifier>
    </item>
    <item>
      <title>Swiggy Improves Search Autocomplete Using Real Time Machine Learning Ranking</title>
      <link>https://www.infoq.com/news/2026/05/swiggy-autocomplete-rt-ranking/?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/swiggy-autocomplete-rt-ranking/en/headerimage/header-1778975533066.jpg"/&gt;&lt;p&gt;Swiggy detailed real-time machine-learning ranking system for autocomplete built on OpenSearch. The architecture separates candidate generation and ranking, uses feature stores for real time signals, and applies learning to rank models for improved relevance. It replaces heuristic ranking while maintaining strict latency constraints and enabling continuous model updates from user behavior signals.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Real Time</category>
      <category>Event Driven Architecture</category>
      <category>Search</category>
      <category>learning</category>
      <category>Rankings</category>
      <category>OpenSearch</category>
      <category>Machine Learning</category>
      <category>Low Latency</category>
      <category>Infrastructure</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 18 May 2026 14:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/swiggy-autocomplete-rt-ranking/?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>2026-05-18T14:38:00Z</dc:date>
      <dc:identifier>/news/2026/05/swiggy-autocomplete-rt-ranking/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic's Code with Claude Announces  Managed Agents, Proactive Workflows, Capability Curve</title>
      <link>https://www.infoq.com/news/2026/05/code-with-claude/?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/code-with-claude/en/headerimage/codewithclaude-1779025768208.jpeg"/&gt;&lt;p&gt;Anthropic hosted "Code with Claude 2026" in San Francisco, featuring livestream sessions focused on Claude Code, the Claude API platform, and other projects. Key topics included developer experience, autonomy features, model step-changes, and the impact of AI on product architecture. Discussions included insights from GitHub, Vercel, and AI-native startups on engineering strategies and challenges.&lt;/p&gt; &lt;i&gt;By Andrew Hoblitzell&lt;/i&gt;</description>
      <category>Software Development</category>
      <category>Anthropic</category>
      <category>Claude</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 18 May 2026 13:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/code-with-claude/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Andrew Hoblitzell</dc:creator>
      <dc:date>2026-05-18T13:14:00Z</dc:date>
      <dc:identifier>/news/2026/05/code-with-claude/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: OpenJDK JEPs, Azul Payara, WildFly, LangChain4j, OpenXava, Google ADK</title>
      <link>https://www.infoq.com/news/2026/05/java-news-roundup-may11-2026/?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/2026/05/java-news-roundup-may11-2026/en/headerimage/java-news-roundup-image-1779108213136.jpg"/&gt;&lt;p&gt;This week's Java roundup for May 11th, 2026, features news highlighting: three OpenJDK JEPs targeted for JDK 27; introducting Azul Payara Community and the WildFly wado CLI tool; point releases of LangChain4j and Google ADK; and maintenance releases of Micronaut and OpenXava.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>LangChain</category>
      <category>Micronaut</category>
      <category>JBoss WildFly</category>
      <category>Google ADK for Java</category>
      <category>Java</category>
      <category>Azul Payara</category>
      <category>OpenXava</category>
      <category>JDK 27</category>
      <category>Open JDK</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 18 May 2026 12:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/java-news-roundup-may11-2026/?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>2026-05-18T12:45:00Z</dc:date>
      <dc:identifier>/news/2026/05/java-news-roundup-may11-2026/en</dc:identifier>
    </item>
    <item>
      <title>Article: Building a Secure MCP Server on AWS for a Million-Company B2B Platform</title>
      <link>https://www.infoq.com/articles/secure-mcp-server-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/articles/secure-mcp-server-aws/en/headerimage/secure-mcp-server-aws-header-1778765095736.jpg"/&gt;&lt;p&gt;We wanted to expose a B2B intelligence platform built on more than one million company profiles to an LLM client through an MCP server so a user can ask “find SaaS companies in Germany with 50-200 employees” and receive results through the LLM client. The engineering problem was: How do you make that workflow useful without creating an unsafe bridge between an LLM and production data?&lt;/p&gt; &lt;i&gt;By Shadi Elyafi&lt;/i&gt;</description>
      <category>AWS</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 18 May 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/secure-mcp-server-aws/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Shadi Elyafi</dc:creator>
      <dc:date>2026-05-18T11:00:00Z</dc:date>
      <dc:identifier>/articles/secure-mcp-server-aws/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Context is the Key to the Agentic Architecture Revolution: A Conversation with Baruch Sadogursky</title>
      <link>https://www.infoq.com/podcasts/context-key-agentic-architecture-revolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/context-key-agentic-architecture-revolution/en/smallimage/the-infoq-podcast-logo-thumbnail-1778747429699.jpg"/&gt;&lt;p&gt;Michael Stiefel spoke to Baruch Sadogursky about software architecture in the age of agentic AI. LLM can function, albeit stochastically, as reasoning machines capable of interpreting human ambiguity. With the appropriate rigorous context artifacts to control the LLM’s reasoning, software specifications can become the source of truth, while the code becomes a disposable intermediate language.&lt;/p&gt; &lt;i&gt;By Baruch Sadogursky&lt;/i&gt;</description>
      <category>Software Development</category>
      <category>Spec Driven Development</category>
      <category>Software Testing</category>
      <category>Design</category>
      <category>The InfoQ Podcast</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 18 May 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/context-key-agentic-architecture-revolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Baruch Sadogursky</dc:creator>
      <dc:date>2026-05-18T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/context-key-agentic-architecture-revolution/en</dc:identifier>
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