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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>How Zalando Built an In-Process Client-Side Load Balancer for One Million Requests per Second</title>
      <link>https://www.infoq.com/news/2026/07/client-side-load-balancer/?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/2026/07/client-side-load-balancer/en/headerimage/generatedHeaderImage-1783270035162.jpg"/&gt;&lt;p&gt;The engineering team at Zalando recently described the design and implementation of an in-process, client-side load balancer for a high-throughput API handling around 1 million requests per second. The result was more predictable latency, a drop in infrastructure costs, and better visibility into where failures actually originate.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Load Balancers</category>
      <category>Kubernetes</category>
      <category>Load Balancing</category>
      <category>AWS</category>
      <category>Performance &amp; Scalability</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sat, 25 Jul 2026 06:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/client-side-load-balancer/?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>2026-07-25T06:43:00Z</dc:date>
      <dc:identifier>/news/2026/07/client-side-load-balancer/en</dc:identifier>
    </item>
    <item>
      <title>Airbus Makes Protection from Extraterritorial Law a Scored Criterion in Its Cloud Tender</title>
      <link>https://www.infoq.com/news/2026/07/airbus-scaleway-sovereign-cloud/?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/2026/07/airbus-scaleway-sovereign-cloud/en/headerimage/generatedHeaderImage-1784717127691.jpg"/&gt;&lt;p&gt;Airbus selected Scaleway as its sovereign cloud provider after a tender that scored protection against non-European extraterritorial legislation alongside technical capability. Airbus frames it as complementing multi-cloud, not exiting AWS. Practitioners note the pattern is spreading past hyperscalers to small US SaaS vendors, and that sovereignty claims still require verifiable controls.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Enterprise Architecture</category>
      <category>Sovereignty</category>
      <category>Cloud Architecture</category>
      <category>Cloud</category>
      <category>Compliance</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Fri, 24 Jul 2026 10:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/airbus-scaleway-sovereign-cloud/?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>2026-07-24T10:42:00Z</dc:date>
      <dc:identifier>/news/2026/07/airbus-scaleway-sovereign-cloud/en</dc:identifier>
    </item>
    <item>
      <title>Expedia Uses AI-Driven Service Telemetry Analyzer to Accelerate Incident Investigation</title>
      <link>https://www.infoq.com/news/2026/07/expedia-ai-observability-star/?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/2026/07/expedia-ai-observability-star/en/headerimage/generatedHeaderImage-1783819381373.jpg"/&gt;&lt;p&gt;Expedia Group has introduced STAR, an internal AI-assisted observability platform that helps engineers investigate production incidents using service telemetry and LLMs. Built with FastAPI, Datadog, Celery, Redis, and Langfuse, STAR follows structured workflows to analyze telemetry, generate root cause assessments, and support incident response while keeping engineers in the loop.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Site Reliability Engineering</category>
      <category>Incident Response</category>
      <category>GraphQL</category>
      <category>Observability</category>
      <category>Platform Engineering</category>
      <category>Kubernetes</category>
      <category>Redis</category>
      <category>OpenTelemetry</category>
      <category>Monitoring</category>
      <category>gRPC</category>
      <category>AI Assisted Coding</category>
      <category>HTTP</category>
      <category>API</category>
      <category>Prompt Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 23 Jul 2026 14:15:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/expedia-ai-observability-star/?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>2026-07-23T14:15:00Z</dc:date>
      <dc:identifier>/news/2026/07/expedia-ai-observability-star/en</dc:identifier>
    </item>
    <item>
      <title>GitHub Increased Instant Navigation from 4% to 22% by Rethinking Client Side Architecture</title>
      <link>https://www.infoq.com/news/2026/07/github-issues-navigation/?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/2026/07/github-issues-navigation/en/headerimage/generatedHeaderImage-1783811772898.jpg"/&gt;&lt;p&gt;GitHub redesigned GitHub Issues navigation using a client-side architecture that combines caching, predictive prefetching, and service workers to reduce perceived latency. The approach uses IndexedDB, in-memory caching, and background synchronization to serve data faster. GitHub reported instant navigation improvements from 4% to 22%, with latency reductions across multiple navigation paths.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>github</category>
      <category>IndexedDB</category>
      <category>navigation</category>
      <category>Caching</category>
      <category>Web Browser</category>
      <category>Front-end</category>
      <category>Architecture</category>
      <category>Scalability</category>
      <category>Performance</category>
      <category>Optimization</category>
      <category>React</category>
      <category>Low Latency</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 22 Jul 2026 14:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/github-issues-navigation/?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>2026-07-22T14:09:00Z</dc:date>
      <dc:identifier>/news/2026/07/github-issues-navigation/en</dc:identifier>
    </item>
    <item>
      <title>Anthropic Details How it Contains Claude across Web, Code, and Cowork</title>
      <link>https://www.infoq.com/news/2026/07/anthropic-claude-containment/?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/2026/07/anthropic-claude-containment/en/headerimage/Anthropic-Header-1784707138026.jpeg"/&gt;&lt;p&gt;Anthropic detailed the containment architectures it uses for Claude across its products. It argues that agent safety depends on placing deterministic limits on an agent’s filesystem, network, and execution environment rather than on permission prompts or safeguards. Most notably, it examines failures at trust boundaries and along permitted egress paths that led Anthropic to revise those designs.&lt;/p&gt; &lt;i&gt;By Eran Stiller&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>AI Security</category>
      <category>Claude</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 22 Jul 2026 12:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/anthropic-claude-containment/?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>2026-07-22T12:25:00Z</dc:date>
      <dc:identifier>/news/2026/07/anthropic-claude-containment/en</dc:identifier>
    </item>
    <item>
      <title>AWS Billing Bug Shows Customers Trillion-Dollar Estimates While Its Own Cost Alarms Fail to Act</title>
      <link>https://www.infoq.com/news/2026/07/aws-billing-estimates-incident/?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/2026/07/aws-billing-estimates-incident/en/headerimage/generatedHeaderImage-1784456911552.jpg"/&gt;&lt;p&gt;A configuration change in AWS's bill computation system showed customers estimated bills in the billions and trillions of dollars for over 24 hours. AWS's own alarms detected the anomalies but failed to halt bill generation or page engineers; customer escalations alerted the company 4.5 hours later. Budget and cost anomaly alerts were disabled platform-wide during mitigation.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Site Reliability Engineering</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>AWS</category>
      <category>Amazon Web Services</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 22 Jul 2026 10:19:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/aws-billing-estimates-incident/?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>2026-07-22T10:19:00Z</dc:date>
      <dc:identifier>/news/2026/07/aws-billing-estimates-incident/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: Value Objects, WildFly 41, TornadoVM, LangChain4j, Oracle AI Agent Studio</title>
      <link>https://www.infoq.com/news/2026/07/java-news-roundup-jul13-2026/?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/2026/07/java-news-roundup-jul13-2026/en/headerimage/java-news-roundup-image-1784573126569.jpg"/&gt;&lt;p&gt;This week's Java roundup for July 13th, 2026, features news highlighting: a reintroduction of Value Objects (Preview); the GA release of WildFly 41; the July 2026 edition of Open Liberty 26.0.0.7; point releases of TornadoVM, Apache TomEE, Java Operator SDK and LangChain4j; a maintenance release of Micronaut; a new extension, Quarkus Shim; and a new Oracle AI Agent Studio for Fusion Applications.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>LangChain</category>
      <category>JDK 28</category>
      <category>Open Liberty</category>
      <category>JBoss WildFly</category>
      <category>Oracle</category>
      <category>Micronaut</category>
      <category>TornadoVM</category>
      <category>Java</category>
      <category>Apache TomEE</category>
      <category>Quarkus</category>
      <category>JDK 27</category>
      <category>Open JDK</category>
      <category>Java Operator SDK</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 20 Jul 2026 18:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/java-news-roundup-jul13-2026/?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>2026-07-20T18:45:00Z</dc:date>
      <dc:identifier>/news/2026/07/java-news-roundup-jul13-2026/en</dc:identifier>
    </item>
    <item>
      <title>DoorDash Uses Envoy and Valkey for a 1.5M RPS Proxy Cache with 99.99999% Availability</title>
      <link>https://www.infoq.com/news/2026/07/doordash-entity-cache-proxy/?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;DoorDash has developed Entity Cache, a transparent proxy caching platform built on Envoy and Valkey to reduce redundant service-to-service requests across its microservices architecture. Operating within DoorDash’s service mesh, the platform serves over 1.5M requests per second with 99.99999% availability through caching, event-driven invalidation, failure handling, and performance optimizations.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Distributed Cache</category>
      <category>Cloud Architecture</category>
      <category>Service Mesh</category>
      <category>Envoy</category>
      <category>Microservices</category>
      <category>Algorithms</category>
      <category>Performance</category>
      <category>Optimization</category>
      <category>Backend For Frontend</category>
      <category>Availability</category>
      <category>Service Reliability</category>
      <category>gRPC</category>
      <category>Valkey</category>
      <category>Caching</category>
      <category>HTTP</category>
      <category>Distributed Systems</category>
      <category>Reliability</category>
      <category>Event Driven Architecture</category>
      <category>Apache Kafka</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 20 Jul 2026 13:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/doordash-entity-cache-proxy/?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>2026-07-20T13:53:00Z</dc:date>
      <dc:identifier>/news/2026/07/doordash-entity-cache-proxy/en</dc:identifier>
    </item>
    <item>
      <title>Three InfoQ Certification Cohorts Start This August: Meet the Facilitators</title>
      <link>https://www.infoq.com/news/2026/07/infoq-online-cohorts-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/2026/07/infoq-online-cohorts-2026/en/headerimage/infoq-online-cohorts-2026-1784536581240.jpg"/&gt;&lt;p&gt;InfoQ has opened enrollment for three five-week online certification cohorts starting in August, each led by a senior practitioner applying QCon talk frameworks to participants' own work: architecture with Luca Mezzalira, engineering leadership with Michelle Brush, and AI security and privacy with Katharine Jarmul.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>AI Security</category>
      <category>Software Engineering</category>
      <category>InfoQ Certification Program</category>
      <category>Privacy</category>
      <category>Architecture ICSAET</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 20 Jul 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/infoq-online-cohorts-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-07-20T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/infoq-online-cohorts-2026/en</dc:identifier>
    </item>
    <item>
      <title>AWS Releases Loom, an Open-Source Reference Platform for Governing AI Agents at Enterprise Scale</title>
      <link>https://www.infoq.com/news/2026/07/loom-aws-agent-platform/?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/2026/07/loom-aws-agent-platform/en/headerimage/generatedHeaderImage-1784031634775.jpg"/&gt;&lt;p&gt;AWS released Loom, an open-source reference platform on AWS Labs for governing AI agents at scale. Built on Strands Agents and Bedrock AgentCore Runtime, it implements RFC 8693 token exchange for identity propagation through delegated actor chains, config-driven deployments without runtime code generation, and mandatory tagging. AWS positions it as an example, not a managed service.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Cloud</category>
      <category>Access Control</category>
      <category>AWS</category>
      <category>Open Source Project Releases</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 20 Jul 2026 10:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/loom-aws-agent-platform/?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>2026-07-20T10:04:00Z</dc:date>
      <dc:identifier>/news/2026/07/loom-aws-agent-platform/en</dc:identifier>
    </item>
    <item>
      <title>How Netflix Built GenPage: a Single GenAI Model to Build Personalized Homepages</title>
      <link>https://www.infoq.com/news/2026/07/netflix-llm-homepage-generation/?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/2026/07/netflix-llm-homepage-generation/en/headerimage/netflix-genpage-recommender-1784476882801.jpeg"/&gt;&lt;p&gt;GenPage is a generative AI system developed by Netflix to replace its traditional multi-stage recommendation pipeline by directly generating personalized user homepages. GenPage leverages user history and request context as a prompt to produce the entire page, resulting in improved user engagement and reduced serving latency.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Netflix</category>
      <category>Generative AI</category>
      <category>Large language models</category>
      <category>A/B Testing</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 19 Jul 2026 20:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/netflix-llm-homepage-generation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-07-19T20:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/netflix-llm-homepage-generation/en</dc:identifier>
    </item>
    <item>
      <title>Google's AlphaEvolve Reaches General Availability with Evolutionary Code Optimization as a Service</title>
      <link>https://www.infoq.com/news/2026/07/alphaevolve-generally-available/?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/2026/07/alphaevolve-generally-available/en/headerimage/generatedHeaderImage-1783873354690.jpg"/&gt;&lt;p&gt;Google's AlphaEvolve reached general availability on the Gemini Enterprise Agent Platform, turning the DeepMind research project into an evolutionary code optimization service. Evaluators run client-side so code never leaves the customer's infrastructure. Klarna doubled ML training throughput; practitioners note it only works where a measurable evaluation function exists.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Google Cloud</category>
      <category>Cloud</category>
      <category>Code Generation</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>Sun, 19 Jul 2026 10:16:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/alphaevolve-generally-available/?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>2026-07-19T10:16:00Z</dc:date>
      <dc:identifier>/news/2026/07/alphaevolve-generally-available/en</dc:identifier>
    </item>
    <item>
      <title>AWS Continuum to Enable Agentic Code Security for Enterprises</title>
      <link>https://www.infoq.com/news/2026/07/aws-continuum-code-security/?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/2026/07/aws-continuum-code-security/en/headerimage/generatedHeaderImage-1784225072280.jpg"/&gt;&lt;p&gt;Amazon Web Services has recently introduced AWS Continuum, a new integrated security platform to automate the discovery, enforcement, and remediation of security issues across codebases, dependencies, and applications. AWS Continuum launches with four agentic capabilities, aiming at the entire vulnerability lifecycle: penetration testing, code review, threat modelling, and code vulnerabilities.&lt;/p&gt; &lt;i&gt;By Gianmarco Nalin&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Cloud</category>
      <category>Cloud Security</category>
      <category>AWS</category>
      <category>Enterprise</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 16 Jul 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/aws-continuum-code-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture+%26+Design-news</guid>
      <dc:creator>Gianmarco Nalin</dc:creator>
      <dc:date>2026-07-16T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/07/aws-continuum-code-security/en</dc:identifier>
    </item>
    <item>
      <title>AI Agents with Cloud Credentials Are Outrunning Billing Guardrails Built for Human-Speed Mistakes</title>
      <link>https://www.infoq.com/news/2026/07/ai-agents-billing-guardrails/?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/2026/07/ai-agents-billing-guardrails/en/headerimage/generatedHeaderImage-1783852122330.jpg"/&gt;&lt;p&gt;A three-person agency received a $14,000 AWS bill in one day after attackers extracted static access keys and burned Claude invocations on Bedrock. Combined with May's DN42 incident, where an autonomous agent provisioned $6,531 of oversized infrastructure in 24 hours, practitioners warn that cloud billing lags roughly a day behind agent-speed spend.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Cloud Architecture</category>
      <category>Cloud</category>
      <category>Cost Optimization</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 16 Jul 2026 10:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/ai-agents-billing-guardrails/?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>2026-07-16T10:17:00Z</dc:date>
      <dc:identifier>/news/2026/07/ai-agents-billing-guardrails/en</dc:identifier>
    </item>
    <item>
      <title>Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation</title>
      <link>https://www.infoq.com/news/2026/07/stripe-ai-agents-benchmark/?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/2026/07/stripe-ai-agents-benchmark/en/headerimage/generatedHeaderImage-1783301844753.jpg"/&gt;&lt;p&gt;Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-based checkout workflows. The study examines end-to-end software engineering capability, focusing on execution, testing, and validation gaps in agentic systems under production-like constraints.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>AIOps</category>
      <category>payment</category>
      <category>Validation</category>
      <category>Web Browser</category>
      <category>ChatGPT</category>
      <category>Observability</category>
      <category>Agents</category>
      <category>Software Engineering</category>
      <category>Stripe</category>
      <category>Benchmark</category>
      <category>Claude</category>
      <category>Integration</category>
      <category>AI Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 15 Jul 2026 14:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/07/stripe-ai-agents-benchmark/?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>2026-07-15T14:25:00Z</dc:date>
      <dc:identifier>/news/2026/07/stripe-ai-agents-benchmark/en</dc:identifier>
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