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    <title>InfoQ - Development</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Development feed</description>
    <item>
      <title>Netflix Serves 84% of Query Results from Cache with Interval-Aware Caching in Apache Druid</title>
      <link>https://www.infoq.com/news/2026/05/netflix-druid-interval-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/netflix-druid-interval-cache/en/headerimage/generatedHeaderImage-1777092326529.jpg"/&gt;&lt;p&gt;Netflix improves Apache Druid performance with interval aware caching, serving 84% of analytics results from cache and reducing query load by 33%. The system decomposes rolling window queries into reusable time segments, enabling partial cache reuse and recomputation only for recent data. At scale, it reduces scan volume, improves P90 latency, and optimizes real time analytics workloads.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Apache</category>
      <category>Time Series Data</category>
      <category>Caching</category>
      <category>Observability</category>
      <category>Distributed Systems</category>
      <category>Data Analytics</category>
      <category>Optimization</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 11 May 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/netflix-druid-interval-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-11T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/05/netflix-druid-interval-cache/en</dc:identifier>
    </item>
    <item>
      <title>Article: Local-First AI Inference: A Cloud Architecture Pattern for Cost-Effective Document Processing</title>
      <link>https://www.infoq.com/articles/local-first-ai-inference-cloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/articles/local-first-ai-inference-cloud/en/headerimage/Local-First-AI-Inference-A-Cloud-Architecture-Pattern-for-Cost-Effective-Document-Processing-header-1778141518292.jpg"/&gt;&lt;p&gt;The Local-First AI Inference pattern routes 70–80% of documents to deterministic local extraction at zero API cost, reserving Azure OpenAI calls for edge cases and flagging low-confidence results for human review. Deployed on 4,700 engineering drawing PDFs, it cut API costs by 75% and processing time by 55%, while bounding errors through a human review tier.&lt;/p&gt; &lt;i&gt;By Obinna Iheanachor&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Cloud</category>
      <category>GPT-4</category>
      <category>Cost Optimization</category>
      <category>Model Inference</category>
      <category>Observability</category>
      <category>Generative AI</category>
      <category>Azure</category>
      <category>Microsoft Azure</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Mon, 11 May 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/local-first-ai-inference-cloud/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Obinna Iheanachor</dc:creator>
      <dc:date>2026-05-11T11:00:00Z</dc:date>
      <dc:identifier>/articles/local-first-ai-inference-cloud/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: From Java EE to Quarkus and LLMs: Adam Bien’s Playbook for Boring, Future‑Proof Systems</title>
      <link>https://www.infoq.com/podcasts/java-ee-quarkus-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/java-ee-quarkus-llm/en/smallimage/the-infoq-podcast-logo-thumbnail-1777449793047.jpg"/&gt;&lt;p&gt;Adam Bien, an independent consultant and pioneer of zero dependencies in the enterprise world of Java, highlights the benefits of consistently using standards, regardless of whether they involve Java or existing patterns. He argues that by doing so, he managed to future-proof the systems he built, preparing them for the cloud era and even for the AI-Native era.&lt;/p&gt; &lt;i&gt;By Adam Bien&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Cloud</category>
      <category>Java</category>
      <category>Code Generation</category>
      <category>Development</category>
      <category>podcast</category>
      <pubDate>Mon, 11 May 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/java-ee-quarkus-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Adam Bien</dc:creator>
      <dc:date>2026-05-11T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/java-ee-quarkus-llm/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: GraalVM, Spring AI, JobRunr, GlassFish, Grails, Groovy, Quarkus Agent MCP</title>
      <link>https://www.infoq.com/news/2026/05/java-news-roundup-may04-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/java-news-roundup-may04-2026/en/headerimage/java-news-roundup-image-1778441049106.jpg"/&gt;&lt;p&gt;This week's Java roundup for May 4th, 2026, features news highlighting: OpenJDK JEPs targeted for JDK 27; the sixth milestone release of Spring AI 2.0; the first milestone release of Grails 8.0; the first alpha release of Groovy 6.0; a point release of JobRunr; maintenance releases of GlassFish, TomEE and Tomcat; an accelerated release train for GraalVM; and a new Quarkus Agent MCP server.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Groovy</category>
      <category>JobRunr</category>
      <category>GraalVM</category>
      <category>Quarkus</category>
      <category>Glassfish</category>
      <category>Apache TomEE</category>
      <category>Spring AI</category>
      <category>Java</category>
      <category>Open JDK</category>
      <category>Apache Tomcat</category>
      <category>Jakarta EE</category>
      <category>JDK 27</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 11 May 2026 02:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/java-news-roundup-may04-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-05-11T02:30:00Z</dc:date>
      <dc:identifier>/news/2026/05/java-news-roundup-may04-2026/en</dc:identifier>
    </item>
    <item>
      <title>MySQL 9.7: First Major LTS Since 8.4 Brings Enterprise Features to Community Edition</title>
      <link>https://www.infoq.com/news/2026/05/mysql-97-lts/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/mysql-97-lts/en/headerimage/generatedHeaderImage-1777530966582.jpg"/&gt;&lt;p&gt;Oracle has announced the general availability of MySQL 9.7.0, marking the start of a new 9.7 LTS release series and the first major one since MySQL 8.4. The release arrives amid community concerns about declining MySQL development activity and Oracle's long-term commitment to the project.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>MySQL</category>
      <category>Relational Databases</category>
      <category>Open Source</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 10 May 2026 06:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/mysql-97-lts/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-05-10T06:30:00Z</dc:date>
      <dc:identifier>/news/2026/05/mysql-97-lts/en</dc:identifier>
    </item>
    <item>
      <title>Fonttrio Launches as Open-Source Font Pairing Registry for shadcn/ui</title>
      <link>https://www.infoq.com/news/2026/05/fonttrio-shadcn-fonts/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Fonttrio is an open-source font pairing registry designed for shadcn/ui projects, featuring 49 curated font combinations that can be installed via a single command. Developed by Dima Kapish, it streamlines font selection and configuration for web applications. The tool integrates seamlessly with shadcn CLI, generating CSS variables and typography scales automatically.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>React</category>
      <category>Web Development</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 09 May 2026 09:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/fonttrio-shadcn-fonts/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-05-09T09:46:00Z</dc:date>
      <dc:identifier>/news/2026/05/fonttrio-shadcn-fonts/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Ships Dynamic Workflows, Bringing Durable Execution to Per-Tenant and Per-Agent Code</title>
      <link>https://www.infoq.com/news/2026/05/cloudflare-dynamic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/cloudflare-dynamic-workflows/en/headerimage/generatedHeaderImage-1778146936420.jpg"/&gt;&lt;p&gt;Cloudflare released Dynamic Workflows, an MIT-licensed library that extends its durable execution engine so workflow code can differ per tenant, agent, or request at runtime. Built on Dynamic Workers, the library enables platforms to serve millions of unique durable workflows at near-zero idle cost. CI/CD and agent plan execution are the headline use cases.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Cloud Architecture</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 09 May 2026 09:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/cloudflare-dynamic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-05-09T09:31:00Z</dc:date>
      <dc:identifier>/news/2026/05/cloudflare-dynamic-workflows/en</dc:identifier>
    </item>
    <item>
      <title>AWS Improves Aurora Serverless: 45% Faster Ramp-Up, 30% Higher Throughput</title>
      <link>https://www.infoq.com/news/2026/05/aurora-serverless-v4/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/aurora-serverless-v4/en/headerimage/generatedHeaderImage-1777309076897.jpg"/&gt;&lt;p&gt;AWS has recently announced that WorkMail will be discontinued and that App Runner will stop accepting new customers and move into maintenance mode. Several other less popular services and features are also entering maintenance or sunset phases, triggering concern and debate across the AWS community.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>MySQL</category>
      <category>Amazon RDS</category>
      <category>Relational Databases</category>
      <category>Postgres</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>AWS</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sat, 09 May 2026 06:56:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/aurora-serverless-v4/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-05-09T06:56:00Z</dc:date>
      <dc:identifier>/news/2026/05/aurora-serverless-v4/en</dc:identifier>
    </item>
    <item>
      <title>How GitHub Is Securing Agentic Workflows in Modern CI CD Systems</title>
      <link>https://www.infoq.com/news/2026/05/github-agentic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/github-agentic-workflows/en/headerimage/generatedHeaderImage-1777009566990.jpg"/&gt;&lt;p&gt;GitHub detailed a defense-in-depth security architecture for agentic workflows in CI/CD pipelines, focusing on isolation, constrained execution, and auditability. The design aims to safely integrate autonomous AI agents while mitigating risks like prompt injection, privilege escalation, and unintended actions, using sandboxed environments, restricted permissions, and full execution traceability.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Continuous Integration</category>
      <category>Agents</category>
      <category>Workflow / BPM</category>
      <category>Continuous Improvement</category>
      <category>GitHub Actions</category>
      <category>Observability</category>
      <category>Cloud Security</category>
      <category>Continuous Deployment</category>
      <category>Security</category>
      <category>Logging</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 08 May 2026 14:38:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/github-agentic-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-08T14:38:00Z</dc:date>
      <dc:identifier>/news/2026/05/github-agentic-workflows/en</dc:identifier>
    </item>
    <item>
      <title>Article: Implementing the Sidecar Pattern in Microservices-Based ASP.NET Core Applications</title>
      <link>https://www.infoq.com/articles/asp-net-core-side-car/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/articles/asp-net-core-side-car/en/headerimage/Implementing-the-Sidecar-Pattern-in-Microservices-based-ASP-NET-Core-Applications-header-1778079284259.jpg"/&gt;&lt;p&gt;Today's applications require monitoring, logging, configuration, etc. Each of these concerns can be implemented as a component or a service. These cross-cutting concerns can be tightly integrated into the application. While this tight coupling ensures effective use of shared resources, an outage in any of these components can take your application down. Enter the sidecar design pattern.&lt;/p&gt; &lt;i&gt;By Joydip Kanjilal&lt;/i&gt;</description>
      <category>.NET 10</category>
      <category>.NET 9</category>
      <category>.NET</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Fri, 08 May 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/asp-net-core-side-car/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Joydip Kanjilal</dc:creator>
      <dc:date>2026-05-08T09:00:00Z</dc:date>
      <dc:identifier>/articles/asp-net-core-side-car/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Introduces Websocket-Based Execution Mode to Reduce Latency in Agentic Workflows</title>
      <link>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/openai-websocket-responses-api/en/headerimage/generatedHeaderImage-1777845282531.jpg"/&gt;&lt;p&gt;OpenAI introduces a WebSocket-based execution mode for its Responses API to improve agentic workflow performance in coding agents and real-time AI systems. The update reduces latency by up to 40 percent by replacing HTTP request-response cycles with persistent connections, improving streaming, tool execution, and multi-step orchestration in production-scale AI systems.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Low Latency</category>
      <category>API</category>
      <category>Workflow Foundation</category>
      <category>Distributed Systems</category>
      <category>SDK</category>
      <category>Realtime API</category>
      <category>OpenAI</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>Agents</category>
      <category>AI Assisted Coding</category>
      <category>WebSocket</category>
      <category>Orchestration</category>
      <category>Optimization</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 14:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/openai-websocket-responses-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-07T14:48:00Z</dc:date>
      <dc:identifier>/news/2026/05/openai-websocket-responses-api/en</dc:identifier>
    </item>
    <item>
      <title>Google Announces GKE Agent Sandbox and Hypercluster at Next '26, Positioning Kubernetes as AI Agent</title>
      <link>https://www.infoq.com/news/2026/05/gke-agent-sandbox-hypercluster/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/gke-agent-sandbox-hypercluster/en/headerimage/generatedHeaderImage-1777875585040.jpg"/&gt;&lt;p&gt;Google announced GKE Agent Sandbox and hypercluster at Cloud Next '26. Agent Sandbox uses gVisor kernel isolation for secure agent code execution at 300 sandboxes per second, built as an open-source Kubernetes SIG Apps subproject. It is currently the only native agent sandbox among the three major hyperscalers. Hypercluster manages a million chips from a single control plane.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Google Cloud</category>
      <category>AI Architecture</category>
      <category>Cloud</category>
      <category>Containers</category>
      <category>Cloud Native Computing Foundation</category>
      <category>Google Cloud Platform</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 07 May 2026 10:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/gke-agent-sandbox-hypercluster/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-05-07T10:06:00Z</dc:date>
      <dc:identifier>/news/2026/05/gke-agent-sandbox-hypercluster/en</dc:identifier>
    </item>
    <item>
      <title>LinkedIn Consolidates Hiring Data Pipelines to Power AI Driven Talent Systems</title>
      <link>https://www.infoq.com/news/2026/05/linkedin-unified-hiring-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/linkedin-unified-hiring-platform/en/headerimage/generatedHeaderImage-1776925266106.jpg"/&gt;&lt;p&gt;LinkedIn introduced a unified integrations platform to standardize and reconcile hiring data across systems. The platform reduces onboarding time by 72%, improves data consistency and completeness, and enables scalable AI-driven hiring features through standardized schemas, orchestration workflows, and centralized data processing.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Platforms</category>
      <category>Hiring</category>
      <category>Evolutionary Architecture</category>
      <category>Integration</category>
      <category>Unification</category>
      <category>Data Analytics</category>
      <category>Data Pipelines</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 06 May 2026 14:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/linkedin-unified-hiring-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-05-06T14:15:00Z</dc:date>
      <dc:identifier>/news/2026/05/linkedin-unified-hiring-platform/en</dc:identifier>
    </item>
    <item>
      <title>Attacker Bought 30 WordPress Plugins on Flippa and Backdoored All of Them</title>
      <link>https://www.infoq.com/news/2026/05/wordpress-plugins-supply-chain/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/wordpress-plugins-supply-chain/en/headerimage/generatedHeaderImage-1777874069748.jpg"/&gt;&lt;p&gt;An attacker purchased 30+ WordPress plugins on Flippa for six figures, planted a PHP deserialization backdoor in the first commit, and waited eight months before activating it across 400,000 installations. The attack used Ethereum smart contracts to resolve C2. WordPress.org has no mechanism for reviewing plugin ownership transfers, a gap that npm and PyPI addressed years ago.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Security Vulnerabilities</category>
      <category>Application Security</category>
      <category>Software Supply Chain</category>
      <category>Dependency Management</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 06 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/wordpress-plugins-supply-chain/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-05-06T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/wordpress-plugins-supply-chain/en</dc:identifier>
    </item>
    <item>
      <title>Google New TPU Generation is Specifically Designed for Agents and SOTA Model Training</title>
      <link>https://www.infoq.com/news/2026/05/google-8th-tpu-generation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/05/google-8th-tpu-generation/en/headerimage/google-8th-gen-tpus-1778060595193.jpeg"/&gt;&lt;p&gt;Google has unvelied a new generation of Tensor Processing Units (TPUs), featuring two specialized chips designed to accelerate model training and agent workflows, which require continuous, multi-step reasoning, and action loops distributed across multiple models. The new TPUs deliver better performance, memory, and energy efficiency, the company says.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>GPU</category>
      <category>Large language models</category>
      <category>Google</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 06 May 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/05/google-8th-tpu-generation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Development</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-05-06T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/05/google-8th-tpu-generation/en</dc:identifier>
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