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    <title>InfoQ - Architecture &amp; Design - News</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Architecture &amp; Design News feed</description>
    <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=Architecture+%26+Design-news</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=Architecture+%26+Design-news</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>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=Architecture+%26+Design-news</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=Architecture+%26+Design-news</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>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=Architecture+%26+Design-news</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=Architecture+%26+Design-news</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=Architecture+%26+Design-news</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=Architecture+%26+Design-news</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>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=Architecture+%26+Design-news</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=Architecture+%26+Design-news</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=Architecture+%26+Design-news</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=Architecture+%26+Design-news</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>Java News Roundup: OpenJDK JEPs, Jakarta EE 12, Spring Framework, Micrometer, Camel, JBang</title>
      <link>https://www.infoq.com/news/2026/04/java-news-roundup-apr13-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/java-news-roundup-apr13-2026/en/headerimage/java-news-roundup-image-1776605902940.jpg"/&gt;&lt;p&gt;This week's Java roundup for April 13th, 2026, features news highlighting: new OpenJDK JEPs; point releases of Apache Grails, Apache Camel and JBang; maintenances of Spring Framework that include resolutions to CVEs; first release candidates of Spring Data and Micrometer Metrics; beta releases of Eclipse Store and Eclipse Serializer; and an update on Jakarta EE 12.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Spring Framework</category>
      <category>JBang</category>
      <category>Grails</category>
      <category>Micrometer</category>
      <category>Open JDK</category>
      <category>JDK 27</category>
      <category>Eclipse</category>
      <category>Jakarta EE</category>
      <category>Apache Camel</category>
      <category>Java</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 20 Apr 2026 02:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/java-news-roundup-apr13-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-04-20T02:30:00Z</dc:date>
      <dc:identifier>/news/2026/04/java-news-roundup-apr13-2026/en</dc:identifier>
    </item>
    <item>
      <title>Meta Reports 4x Higher Bug Detection with Just-in-Time Testing</title>
      <link>https://www.infoq.com/news/2026/04/meta-jit-testing-ai-detection/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/meta-jit-testing-ai-detection/en/headerimage/generatedHeaderImage-1776178648278.jpg"/&gt;&lt;p&gt;Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff. It reflects a shift toward change-aware, AI-driven software testing in agentic development environments.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Code Reviews</category>
      <category>Agents</category>
      <category>Test Automation</category>
      <category>Testing</category>
      <category>Automated testing</category>
      <category>Software Testing</category>
      <category>Automation</category>
      <category>Large language models</category>
      <category>AI Assisted Coding</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 17 Apr 2026 14:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/meta-jit-testing-ai-detection/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-17T14:49:00Z</dc:date>
      <dc:identifier>/news/2026/04/meta-jit-testing-ai-detection/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Agent Registry in Preview to Govern AI Agent Sprawl across Enterprises</title>
      <link>https://www.infoq.com/news/2026/04/aws-agent-registry-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/aws-agent-registry-preview/en/headerimage/generatedHeaderImage-1776064171956.jpg"/&gt;&lt;p&gt;AWS released Agent Registry in preview as part of Amazon Bedrock AgentCore, providing a centralized catalog for discovering, governing, and reusing AI agents, tools, and MCP servers across organizations. The registry indexes agents regardless of where they run and supports both MCP and A2A protocols natively. Microsoft, Google Cloud, and the ACP Registry offer competing solutions.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agent2Agent</category>
      <category>Agents</category>
      <category>Amazon</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Registry</category>
      <category>Amazon Web Services</category>
      <category>AWS</category>
      <category>Cloud</category>
      <category>Service Reliability</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 17 Apr 2026 06:54:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/aws-agent-registry-preview/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-04-17T06:54:00Z</dc:date>
      <dc:identifier>/news/2026/04/aws-agent-registry-preview/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces S3 Files, Bringing File System Access to S3 Buckets</title>
      <link>https://www.infoq.com/news/2026/04/aws-s3-files/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/aws-s3-files/en/headerimage/generatedHeaderImage-1776284137747.jpg"/&gt;&lt;p&gt;AWS recently introduced S3 Files, which lets users mount an Amazon S3 bucket and access its data through a standard file system interface. Applications can read and write files using standard file operations, while the system automatically translates them into S3 requests, allowing compute services to work directly with data stored in S3.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>S3</category>
      <category>File-Systems</category>
      <category>Data Storage</category>
      <category>AWS</category>
      <category>Storage</category>
      <category>Cloud</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 16 Apr 2026 18:08:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/aws-s3-files/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-04-16T18:08:00Z</dc:date>
      <dc:identifier>/news/2026/04/aws-s3-files/en</dc:identifier>
    </item>
    <item>
      <title>Google Opens Gemma 4 Under Apache 2.0 with Multimodal and Agentic Capabilities</title>
      <link>https://www.infoq.com/news/2026/04/google-gemm4/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/google-gemm4/en/headerimage/header-1776307607549.jpg"/&gt;&lt;p&gt;Google has announced the release of Gemma 4, a series of open-weight AI models, including variants with 2B, 4B, 26B, and 31B parameters, under the Apache 2.0 license. Key features include enhanced video and image processing, audio input on smaller models, and extended context windows up to 256K tokens.&lt;/p&gt; &lt;i&gt;By Hien Luu&lt;/i&gt;</description>
      <category>Edge Computing</category>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 16 Apr 2026 17:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/google-gemm4/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Hien Luu</dc:creator>
      <dc:date>2026-04-16T17:05:00Z</dc:date>
      <dc:identifier>/news/2026/04/google-gemm4/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Launches Code Mode MCP Server to Optimize Token Usage for AI Agents</title>
      <link>https://www.infoq.com/news/2026/04/cloudflare-code-mode-mcp-server/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/cloudflare-code-mode-mcp-server/en/headerimage/generatedHeaderImage-1775438665018.jpg"/&gt;&lt;p&gt;Cloudflare has launched a new Model Context Protocol (MCP) server powered by Code Mode, enabling AI agents to interact with large APIs with minimal token usage. The server reduces context footprint across 2,500+ endpoints, improves multi-API orchestration, and provides a secure, code-centric execution environment for LLM agents.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Optimization</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Architecture</category>
      <category>Orchestration</category>
      <category>TypeScript</category>
      <category>API</category>
      <category>Workflow / BPM</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 16 Apr 2026 14:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/cloudflare-code-mode-mcp-server/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-16T14:17:00Z</dc:date>
      <dc:identifier>/news/2026/04/cloudflare-code-mode-mcp-server/en</dc:identifier>
    </item>
    <item>
      <title>Zendesk Says AI Makes Code Abundant, Shifting the Bottleneck to “Absorption Capacity”</title>
      <link>https://www.infoq.com/news/2026/04/zendesk-absorption-capacity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/zendesk-absorption-capacity/en/headerimage/Zendesk-Absorption-Capacity-Header-1776167359787.jpeg"/&gt;&lt;p&gt;Zendesk argues that GenAI shifts the bottleneck in software delivery from writing code to “absorption capacity”, which is the organisation’s ability to define problems clearly, integrate changes into the wider system, and turn implementation into reliable value. As code becomes abundant, architectural coherence, review capacity, and delivery flow become the main constraints.&lt;/p&gt; &lt;i&gt;By Eran Stiller&lt;/i&gt;</description>
      <category>Netflix</category>
      <category>Software Development Lifecycle</category>
      <category>Architecture Decision Records</category>
      <category>AI Assisted Coding</category>
      <category>Generative AI</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Wed, 15 Apr 2026 12:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/zendesk-absorption-capacity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Eran Stiller</dc:creator>
      <dc:date>2026-04-15T12:30:00Z</dc:date>
      <dc:identifier>/news/2026/04/zendesk-absorption-capacity/en</dc:identifier>
    </item>
    <item>
      <title>Lyft Scales Global Localization Using AI and Human-in-the-Loop Review</title>
      <link>https://www.infoq.com/news/2026/04/lyft-ai-localization-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/04/lyft-ai-localization-pipeline/en/headerimage/generatedHeaderImage-1775411926263.jpg"/&gt;&lt;p&gt;Lyft has implemented an AI-driven localization system to accelerate translations of its app and web content. Using a dual-path pipeline with large language models and human review, the system processes most content in minutes, improves international release speed, ensures brand consistency, and handles complex cases like regional idioms and legal messaging efficiently.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>i18n</category>
      <category>localization</category>
      <category>Data Pipelines</category>
      <category>Web</category>
      <category>Batch Processing</category>
      <category>Internationalization</category>
      <category>Automation</category>
      <category>Translation</category>
      <category>Large language models</category>
      <category>Real Time</category>
      <category>App Engine</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 13 Apr 2026 13:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/lyft-ai-localization-pipeline/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-04-13T13:45:00Z</dc:date>
      <dc:identifier>/news/2026/04/lyft-ai-localization-pipeline/en</dc:identifier>
    </item>
    <item>
      <title>AWS Launches Sustainability Console with API Access and Scope 1-3 Emissions Reporting</title>
      <link>https://www.infoq.com/news/2026/04/aws-sustainability-console/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;AWS launched a standalone Sustainability console with API access, configurable CSV exports, and Scope 1-3 emissions data by service and Region. The console decouples emissions reporting from billing permissions. AWS CTO Werner Vogels framed carbon as an architectural metric belonging alongside latency, cost, and error rates in the observability stack.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Amazon</category>
      <category>Amazon Web Services</category>
      <category>AWS</category>
      <category>Sustainable Computing</category>
      <category>Cloud</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 13 Apr 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/04/aws-sustainability-console/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-04-13T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/04/aws-sustainability-console/en</dc:identifier>
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