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    <title>InfoQ</title>
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    <item>
      <title>Presentation: Panel: Building a Culture that Works</title>
      <link>https://www.infoq.com/presentations/panel-positive-culture/?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/panel-positive-culture/en/mediumimage/ln-540x400-1775048593311.jpg"/&gt;&lt;p&gt;The panelists share insights on evolving company culture. They discuss leveraging feedback loops, lending social capital, and the friction between legacy bureaucracy and agile engineering. The panel explains how to maintain cohesion in remote teams and use interviews to uncover the true "unmanicured" culture of a firm.&lt;/p&gt; &lt;i&gt;By Nicky Wrightson, Suhail Patel, Lesley Cordero, Matthew Card, Natan Žabkar Nordberg&lt;/i&gt;</description>
      <category>Panel</category>
      <category>QCon London 2025</category>
      <category>Transcripts</category>
      <category>Culture</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Wed, 22 Apr 2026 10:10:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/panel-positive-culture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Nicky Wrightson, Suhail Patel, Lesley Cordero, Matthew Card, Natan Žabkar Nordberg</dc:creator>
      <dc:date>2026-04-22T10:10:00Z</dc:date>
      <dc:identifier>/presentations/panel-positive-culture/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Sandboxes Reach General Availability, Giving AI Agents Persistent Isolated Environments</title>
      <link>https://www.infoq.com/news/2026/04/cloudflare-sandboxes-ga/?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/2026/04/cloudflare-sandboxes-ga/en/headerimage/generatedHeaderImage-1776749566952.jpg"/&gt;&lt;p&gt;Cloudflare has released Sandboxes and Containers into general availability, providing persistent isolated Linux environments for AI agent workloads. New capabilities include secure credential injection via egress proxy, PTY terminal support, persistent code interpreters, filesystem watching, and snapshot-based session recovery. Active CPU pricing charges only for used cycles.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Linux</category>
      <category>Artificial Intelligence</category>
      <category>Architecture</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 22 Apr 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/cloudflare-sandboxes-ga/?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>2026-04-22T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/cloudflare-sandboxes-ga/en</dc:identifier>
    </item>
    <item>
      <title>Article: When a Cloud Region Fails: Rethinking High Availability in a Geopolitically Unstable World</title>
      <link>https://www.infoq.com/articles/sovereign-fault-domains-cloud-resilience/?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/sovereign-fault-domains-cloud-resilience/en/headerimage/sovereign-fault-domains-cloud-resilience-header-1776430533702.jpg"/&gt;&lt;p&gt;Sovereign fault domains are failure boundaries defined by legal, political, or physical jurisdiction rather than hardware topology. The article maps geopolitical events to known distributed-systems failure modes, argues multi-region should replace multi-AZ as the HA baseline for systems crossing jurisdictions, and outlines design patterns, chaos experiments, and an ALE model to justify the spend.&lt;/p&gt; &lt;i&gt;By Rohan Vardhan&lt;/i&gt;</description>
      <category>Site Reliability Engineering</category>
      <category>Chaos Engineering</category>
      <category>Fault Tolerance</category>
      <category>Reliability</category>
      <category>Architecture</category>
      <category>Availability</category>
      <category>Disaster Recovery</category>
      <category>Cloud</category>
      <category>Resilience</category>
      <category>Cloud Architecture</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>article</category>
      <pubDate>Wed, 22 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/sovereign-fault-domains-cloud-resilience/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Rohan Vardhan</dc:creator>
      <dc:date>2026-04-22T09:00:00Z</dc:date>
      <dc:identifier>/articles/sovereign-fault-domains-cloud-resilience/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Outlines MCP Architecture as Enterprises Confront Security and Governance Risks</title>
      <link>https://www.infoq.com/news/2026/04/cloudflare-mcp/?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/2026/04/cloudflare-mcp/en/headerimage/generatedHeaderImage-1776718451687.jpg"/&gt;&lt;p&gt;Cloudflare has outlined a reference architecture for scaling Model Context Protocol (MCP) deployments across the enterprise, positioning centralized governance, remote server infrastructure, and cost controls as key requirements for production-ready agent systems.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>Governance</category>
      <category>Cloud Security</category>
      <category>Cloudflare</category>
      <category>Scaling</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 22 Apr 2026 07:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/cloudflare-mcp/?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>2026-04-22T07:38:00Z</dc:date>
      <dc:identifier>/news/2026/04/cloudflare-mcp/en</dc:identifier>
    </item>
    <item>
      <title>pnpm 11 Release Candidate: ESM Distribution, Supply Chain Defaults and a New Store Format</title>
      <link>https://www.infoq.com/news/2026/04/pnpm-11-rc-release/?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;pnpm 11 RC has been released, featuring significant changes in performance, security, and configuration. Key updates include an SQLite-backed store index, tighter security defaults, and a consolidated build script setting. It now requires Node.js v22 or later. Global installs are isolated by default, and new commands enhance usability. Migration guidance is available in the documentation.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>NPM</category>
      <category>Web Development</category>
      <category>TypeScript</category>
      <category>SQLite</category>
      <category>Bundlers</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 21 Apr 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/pnpm-11-rc-release/?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>2026-04-21T16:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/pnpm-11-rc-release/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Introduces Managed Agents to Simplify AI Agent Deployment</title>
      <link>https://www.infoq.com/news/2026/04/anthropic-managed-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/2026/04/anthropic-managed-agents/en/headerimage/generatedHeaderImage-1776566447284.jpg"/&gt;&lt;p&gt;Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports long-running multi-step workflows with external tools, error recovery, and session continuity via a meta-harness architecture.&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>Automated Deployment</category>
      <category>Claude</category>
      <category>Anthropic</category>
      <category>Workflow Foundation</category>
      <category>Large language models</category>
      <category>AIOps</category>
      <category>AI Development</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 21 Apr 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/anthropic-managed-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>2026-04-21T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/04/anthropic-managed-agents/en</dc:identifier>
    </item>
    <item>
      <title>Slack Rebuilds Notification System, Reports 5X Increase in Settings Engagement</title>
      <link>https://www.infoq.com/news/2026/04/slack-new-notification-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/2026/04/slack-new-notification-system/en/headerimage/generatedHeaderImage-1776312499019.jpg"/&gt;&lt;p&gt;Slack has rebuilt its notification system with a unified architecture that separates activity from delivery, improving consistency across platforms. The redesign simplifies preferences, preserves legacy settings through transformation, and resulted in a 5x increase in user engagement with notification settings along with reduced support tickets.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Desktop</category>
      <category>Mobile Apps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 21 Apr 2026 14:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/slack-new-notification-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>2026-04-21T14:05:00Z</dc:date>
      <dc:identifier>/news/2026/04/slack-new-notification-system/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Acknowledges Recent Outages, Cites Scaling Challenges and Architectural Weaknesses</title>
      <link>https://www.infoq.com/news/2026/04/github-outages-scaling/?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/2026/04/github-outages-scaling/en/headerimage/generatedHeaderImage-1776504516196.jpg"/&gt;&lt;p&gt;GitHub has publicly addressed a series of recent availability and performance issues that disrupted services across its platform, attributing the incidents to rapid growth, architectural coupling, and limitations in handling system load.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>github</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Scaling</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 21 Apr 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/github-outages-scaling/?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>2026-04-21T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/github-outages-scaling/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Dynamic Moments: Weaving LLMs into Deep Personalization at DoorDash</title>
      <link>https://www.infoq.com/presentations/llm-personalization/?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/llm-personalization/en/mediumimage/Sudeep-Das-Pradeep-Muthukrishnan-medium-1776173227456.jpg"/&gt;&lt;p&gt;Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional deep learning handles last-mile ranking. This hybrid approach allows the platform to adapt to short-lived user intent and massive catalog abundance.&lt;/p&gt; &lt;i&gt;By Sudeep Das, Pradeep Muthukrishnan&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Use Cases</category>
      <category>QCon San Francisco 2025</category>
      <category>Large language models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 21 Apr 2026 10:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/llm-personalization/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sudeep Das, Pradeep Muthukrishnan</dc:creator>
      <dc:date>2026-04-21T10:35:00Z</dc:date>
      <dc:identifier>/presentations/llm-personalization/en</dc:identifier>
    </item>
    <item>
      <title>Article: Redesigning Banking PDF Table Extraction: A Layered Approach with Java</title>
      <link>https://www.infoq.com/articles/redesign-pdf-table-extraction/?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/redesign-pdf-table-extraction/en/headerimage/redesign-pdf-table-extraction-header-1776414059821.jpg"/&gt;&lt;p&gt;PDF table extraction often looks easy until it fails in production. Real bank statements can be messy, with scanned pages, shifting layouts, merged cells, and wrapped rows that break standard Java parsers. This article shares how we redesigned the approach using stream parsing, lattice/OCR, validation, scoring, and selective ML to make extraction more reliable in real banking systems.&lt;/p&gt; &lt;i&gt;By Mehuli Mukherjee&lt;/i&gt;</description>
      <category>Java</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Tue, 21 Apr 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/redesign-pdf-table-extraction/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mehuli Mukherjee</dc:creator>
      <dc:date>2026-04-21T09:00:00Z</dc:date>
      <dc:identifier>/articles/redesign-pdf-table-extraction/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Introduces Project Think: A Durable Runtime for AI Agents</title>
      <link>https://www.infoq.com/news/2026/04/cloudflare-project-think/?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;Cloudflare's Project Think introduces a new framework for AI agents, shifting from stateless orchestration to a durable actor-based infrastructure. It features a kernel-like runtime enabling agents to manage memory and run code securely. Innovations include Fibers for checkpointing progress and a Session API for relational conversations, enhancing agent efficiency and resilience.&lt;/p&gt; &lt;i&gt;By Patrick Farry&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 21 Apr 2026 02:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/cloudflare-project-think/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Patrick Farry</dc:creator>
      <dc:date>2026-04-21T02:34:00Z</dc:date>
      <dc:identifier>/news/2026/04/cloudflare-project-think/en</dc:identifier>
    </item>
    <item>
      <title>Designing Memory for AI Agents: Inside Linkedin’s Cognitive Memory Agent</title>
      <link>https://www.infoq.com/news/2026/04/linkedin-cognitive-memory-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/2026/04/linkedin-cognitive-memory-agent/en/headerimage/memorylayer-1776233312896.jpeg"/&gt;&lt;p&gt;LinkedIn introduces Cognitive Memory Agent (CMA),  generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle management. CMA addresses LLM statelessness and enables production-grade personalization and long-term context in AI applications.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Context-Augmented Generation</category>
      <category>Agents</category>
      <category>Memory</category>
      <category>Evolutionary Architecture</category>
      <category>AI Architecture</category>
      <category>Platform Engineering</category>
      <category>Distributed Systems</category>
      <category>Large language models</category>
      <category>AI Development</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 20 Apr 2026 14:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/linkedin-cognitive-memory-agent/?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>2026-04-20T14:59:00Z</dc:date>
      <dc:identifier>/news/2026/04/linkedin-cognitive-memory-agent/en</dc:identifier>
    </item>
    <item>
      <title>Pretext.js Bypasses DOM Layout Reflow, Enabling Advanced UX Patterns at 120 FPS</title>
      <link>https://www.infoq.com/news/2026/04/pretext-js-120fps-text-layout/?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/2026/04/pretext-js-120fps-text-layout/en/headerimage/generatedHeaderImage-1776650733551.jpg"/&gt;&lt;p&gt;Cheng Lou, a Midjourney engineer, recently released Pretext, a 15KB open-source TypeScript library that measures and lays out text without browser layout reflows, enabling advanced UX/UI patterns like infinite lists, masonry layouts, and scroll position anchoring to run at 60-120 fps. Pretext was built using an AI loop that reverse-engineered the DOM’s layout calculations.&lt;/p&gt; &lt;i&gt;By Bruno Couriol&lt;/i&gt;</description>
      <category>JavaScript Libraries</category>
      <category>Web Development</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 20 Apr 2026 12:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/pretext-js-120fps-text-layout/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Bruno Couriol</dc:creator>
      <dc:date>2026-04-20T12:59:00Z</dc:date>
      <dc:identifier>/news/2026/04/pretext-js-120fps-text-layout/en</dc:identifier>
    </item>
    <item>
      <title>Subagents in Gemini CLI Enable Task Delegation and Parallel Agent Workflows</title>
      <link>https://www.infoq.com/news/2026/04/subagents-gemini-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/2026/04/subagents-gemini-cli/en/headerimage/generatedHeaderImage-1776684564496.jpg"/&gt;&lt;p&gt;Google has introduced subagents in Gemini CLI, a new capability designed to help developers delegate complex or repetitive tasks to specialized AI agents operating alongside a primary session.&lt;/p&gt; &lt;i&gt;By Robert Krzaczyński&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Gemini</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 20 Apr 2026 12:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/subagents-gemini-cli/?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>2026-04-20T12:26:00Z</dc:date>
      <dc:identifier>/news/2026/04/subagents-gemini-cli/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Event-Driven Patterns for Cloud-Native Banking - What Works, What Hurts?</title>
      <link>https://www.infoq.com/presentations/patterns-payment-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/presentations/patterns-payment-system/en/mediumimage/medium-1775049482922.jpg"/&gt;&lt;p&gt;Chris Tacey-Green discusses the shift from synchronous commands to asynchronous events within highly regulated environments. He explains the critical role of Inbox and Outbox patterns in preventing data loss, the nuances of event versioning, and how to maintain decoupling between domains. He shares "battle-tested" principles for implementing fault tolerance and managing eventual consistency.&lt;/p&gt; &lt;i&gt;By Chris Tacey-Green&lt;/i&gt;</description>
      <category>Patterns</category>
      <category>Transcripts</category>
      <category>Event Driven Architecture</category>
      <category>Use Cases</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 20 Apr 2026 11:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/patterns-payment-system/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Chris Tacey-Green</dc:creator>
      <dc:date>2026-04-20T11:20:00Z</dc:date>
      <dc:identifier>/presentations/patterns-payment-system/en</dc:identifier>
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