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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>NVIDIA Personal AI Router Distributes AI Tasks across Local Compute</title>
      <link>https://www.infoq.com/news/2026/09/nvidia-pair-ai-task-router/?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/2026/09/nvidia-pair-ai-task-router/en/headerimage/nvidia-ingest-1789135586036.jpeg"/&gt;&lt;p&gt;NVIDIA Personal AI Router (PAIR), now available in beta, lets you combine the inference capacity of multiple computers on your local network and automatically distribute AI requests among them. It is primarily designed for local multi-agent AI workloads, where multiple independent model calls can otherwise overwhelm one GPU.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>Large language models</category>
      <category>GPU</category>
      <category>Agents</category>
      <category>Orchestration</category>
      <category>Performance</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/nvidia-pair-ai-task-router/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-11T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/nvidia-pair-ai-task-router/en</dc:identifier>
    </item>
    <item>
      <title>Netflix Reworks Conductor for 420 Million Monthly Workflow Executions and 10X Larger Workflows</title>
      <link>https://www.infoq.com/news/2026/09/netflix-conductor-4-workflow/?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/2026/09/netflix-conductor-4-workflow/en/headerimage/generatedHeaderImage-1787938102526.jpg"/&gt;&lt;p&gt;Netflix has reworked its Conductor workflow orchestration engine to handle larger workloads, increasing supported workflow size from about 2,500 to 30,000 tasks and reducing p99 workflow evaluation latency by about 40%. Conductor 4.0 separates workflow metadata from task data, moves evaluation to asynchronous processing, and introduces dynamic worker allocation and concurrency controls.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>ElasticSearch</category>
      <category>Asynchronous Architecture</category>
      <category>Concurrency</category>
      <category>Workflow / BPM</category>
      <category>Distributed Systems</category>
      <category>Windows Workflow Foundation</category>
      <category>Cloud Architecture</category>
      <category>Workflow Foundation</category>
      <category>Netflix</category>
      <category>Apache Kafka</category>
      <category>S3</category>
      <category>Scalability</category>
      <category>Java Operator SDK</category>
      <category>Cassandra</category>
      <category>Apache Iceberg</category>
      <category>Microservices</category>
      <category>Orchestration</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 14:17:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/netflix-conductor-4-workflow/?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>2026-09-11T14:17:00Z</dc:date>
      <dc:identifier>/news/2026/09/netflix-conductor-4-workflow/en</dc:identifier>
    </item>
    <item>
      <title>tsgolint Reaches Stable v7, Bringing Go-Powered Type-Aware Linting to Oxlint</title>
      <link>https://www.infoq.com/news/2026/09/tsgolint-oxlint-typescript/?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/2026/09/tsgolint-oxlint-typescript/en/headerimage/generatedHeaderImage-1789113850089.jpg"/&gt;&lt;p&gt;tsgolint has released a stable v7, enhancing TypeScript linting with native Go speed. It offers type-aware linting, leveraging TypeScript's semantic analysis through the typescript-go compiler. Oxlint manages configurations and file discovery. The release, compatible with TypeScript 7.0.2, handles 59 of 61 type-aware rules and shows significant performance improvements over ESLint.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>JavaScript</category>
      <category>ESLint</category>
      <category>Go Language</category>
      <category>TypeScript</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 12:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/tsgolint-oxlint-typescript/?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>2026-09-11T12:02:00Z</dc:date>
      <dc:identifier>/news/2026/09/tsgolint-oxlint-typescript/en</dc:identifier>
    </item>
    <item>
      <title>Terraform AWS Provider Continues Rapid Expansion as AWS Infrastructure Becomes More Complex</title>
      <link>https://www.infoq.com/news/2026/09/terraform-aws-provider-6-62/?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/2026/09/terraform-aws-provider-6-62/en/headerimage/generatedHeaderImage-1788446872951.jpg"/&gt;&lt;p&gt;The Terraform AWS Provider continues its rapid evolution, with v6.62.0 adding support for new AWS capabilities while improving how Terraform understands and manages existing infrastructure.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Infrastructure as Code</category>
      <category>Terraform</category>
      <category>AWS</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/terraform-aws-provider-6-62/?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>2026-09-11T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/terraform-aws-provider-6-62/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: How To Run on Three Clouds at Once, and When Not To</title>
      <link>https://www.infoq.com/presentations/form3-multicloud-architecture/?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/form3-multicloud-architecture/en/mediumimage/ross-mcfarlane-kevin-holditch-medium-1788338652847.jpg"/&gt;&lt;p&gt;Ross McFarlane and Kevin Holditch discuss Form3's evolution from a single-cloud setup to a triple active multi-cloud architecture. They share key engineering strategies for cross-cloud networking, distributed databases with CockroachDB and NATS, custom Kubernetes operators, and navigating distinct regional disaster recovery expectations across the UK, Europe, and US financial markets.&lt;/p&gt; &lt;i&gt;By Ross McFarlane, Kevin Holditch&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Fintech</category>
      <category>Availability</category>
      <category>Disaster Recovery</category>
      <category>Resilience</category>
      <category>Microservices</category>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>QCon London 2026</category>
      <category>AWS</category>
      <category>CockroachDB</category>
      <category>Kubernetes</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 11 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/form3-multicloud-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ross McFarlane, Kevin Holditch</dc:creator>
      <dc:date>2026-09-11T11:00:00Z</dc:date>
      <dc:identifier>/presentations/form3-multicloud-architecture/en</dc:identifier>
    </item>
    <item>
      <title>How LinkedIn Trains AI Job Search 8x Faster with Multi-Teacher Distillation</title>
      <link>https://www.infoq.com/news/2026/09/linkedin-ai-multi-teacher/?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/2026/09/linkedin-ai-multi-teacher/en/headerimage/generatedHeaderImage-1789047107399.jpg"/&gt;&lt;p&gt;LinkedIn has published details of the training infrastructure behind its AI-powered job search, describing a multi-teacher distillation pipeline that compresses knowledge from large teacher models into a compact 0.6B-parameter ranking model.&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/linkedin-ai-multi-teacher/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-09-11T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/linkedin-ai-multi-teacher/en</dc:identifier>
    </item>
    <item>
      <title>Session Traces and Cost Controls Help Diagnose AI Agent Failures</title>
      <link>https://www.infoq.com/news/2026/09/observability-ai-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/2026/09/observability-ai-agents/en/headerimage/header-1788722438219.jpeg"/&gt;&lt;p&gt;Session traces and cost controls are emerging as key observability techniques for diagnosing AI agent failures, helping teams spot tool-call loops and runaway spend while preserving enough execution context for post-incident debugging.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Monitoring</category>
      <category>Artificial Intelligence</category>
      <category>OpenTelemetry</category>
      <category>Agents</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 08:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/observability-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-09-11T08:14:00Z</dc:date>
      <dc:identifier>/news/2026/09/observability-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Advancing Embedded Go: Recoverable Panics, UEFI, Radio and Hardware Dev Kit</title>
      <link>https://www.infoq.com/news/2026/09/tinygo-devkit/?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;TinyGo version 0.42 introduces significant updates, including recoverable panics and support for Go 1.27 and LLVM 22, improving error handling and enabling Go code to run as UEFI applications. The TinyGo Starter Kit with Seeed Studio XIAO facilitates hardware use for developers, featuring an ESP32-C3 board and modular sensors. These features enhance its functionality for embedded systems and Wasm.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>WebAssembly</category>
      <category>Tiny Go</category>
      <category>Embedded Software Dev</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Fri, 11 Sep 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/tinygo-devkit/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-11T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/09/tinygo-devkit/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Releases GPT-6 Astra for Coding and Computer Use</title>
      <link>https://www.infoq.com/news/2026/09/openai-gpt6-astra/?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/2026/09/openai-gpt6-astra/en/headerimage/generatedHeaderImage-1789052348407.jpg"/&gt;&lt;p&gt;OpenAI has released GPT-6 Astra, a new model focused on coding, computer use, long-running agentic tasks, and cybersecurity, with availability across ChatGPT, Codex, and the OpenAI API.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>ChatGPT</category>
      <category>OpenAI</category>
      <category>Anthropic</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 10 Sep 2026 17:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/openai-gpt6-astra/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-09-10T17:49:00Z</dc:date>
      <dc:identifier>/news/2026/09/openai-gpt6-astra/en</dc:identifier>
    </item>
    <item>
      <title>Beyond Autonomous Teams in Software Product Development</title>
      <link>https://www.infoq.com/news/2026/09/autonomous-software-teams/?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/2026/09/autonomous-software-teams/en/headerimage/Beyond-Autonomous-Teams-in-Software-Product-Development-header-1788790952346.jpg"/&gt;&lt;p&gt;Autonomous teams are an article of faith in modern software development. The shape of our value determines what we can do; it determines our trade-offs between agency and coherence. We all have a purpose, and we all have agency to do something, hence the suggestion is moving from product focus to value center thinking.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Product Development</category>
      <category>autonomous</category>
      <category>Delivering Value</category>
      <category>Business Value</category>
      <category>Complex Systems</category>
      <category>Teamwork</category>
      <category>Scrum</category>
      <category>Agile Conferences</category>
      <category>Self-organizing Team</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 10 Sep 2026 10:29:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/autonomous-software-teams/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-09-10T10:29:00Z</dc:date>
      <dc:identifier>/news/2026/09/autonomous-software-teams/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Accelerating Performance by Incrementally Integrating Rust Into Existing Codebase</title>
      <link>https://www.infoq.com/presentations/rust-refactoring/?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/rust-refactoring/en/mediumimage/lily-mara-medium-1788338447565.jpeg"/&gt;&lt;p&gt;Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.&lt;/p&gt; &lt;i&gt;By Lily Mara&lt;/i&gt;</description>
      <category>Rust</category>
      <category>Transcripts</category>
      <category>QCon San Francisco 2025</category>
      <category>Refactoring</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Thu, 10 Sep 2026 09:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rust-refactoring/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Lily Mara</dc:creator>
      <dc:date>2026-09-10T09:34:00Z</dc:date>
      <dc:identifier>/presentations/rust-refactoring/en</dc:identifier>
    </item>
    <item>
      <title>Article: When Spec-Driven Development Pays Off</title>
      <link>https://www.infoq.com/articles/when-spec-driven-development-pays-off/?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/when-spec-driven-development-pays-off/en/smallimage/When-Spec-Driven-Development-Pays-Off-thumb-1788790605567.jpg"/&gt;&lt;p&gt;AI coding assistants have become a core part of software development. AI-generated code has shown productivity gains, but it's also contributing to security weaknesses and familiar bug patterns. In this article, author Nitin Garg highlights the bottleneck has moved from code generation to code verification, and how to detect &amp; mitigate it when the AI-generated behavior diverges from the intent.&lt;/p&gt; &lt;i&gt;By Nitin Garg&lt;/i&gt;</description>
      <category>AI Development</category>
      <category>Artificial Intelligence</category>
      <category>Spec Driven Development</category>
      <category>Generative AI</category>
      <category>AI Assisted Coding</category>
      <category>AI Coding</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Thu, 10 Sep 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/when-spec-driven-development-pays-off/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Nitin Garg</dc:creator>
      <dc:date>2026-09-10T09:00:00Z</dc:date>
      <dc:identifier>/articles/when-spec-driven-development-pays-off/en</dc:identifier>
    </item>
    <item>
      <title>IETF Publishes RFC 10008, Adding the QUERY Method for Safe Requests with a Body</title>
      <link>https://www.infoq.com/news/2026/09/http-query-method/?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/2026/09/http-query-method/en/headerimage/generatedHeaderImage-1788964240128.jpg"/&gt;&lt;p&gt;In June 2026, the IETF published RFC 10008, introducing the QUERY method to HTTP, the first new standard HTTP verb since 2010. QUERY enables developers to send richer query filters in the request body while maintaining cacheable, safe, and idempotent semantics. This addition addresses long-standing limitations with GET and POST methods, facilitating improved API interactions.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>REST</category>
      <category>Web Services</category>
      <category>API</category>
      <category>IETF</category>
      <category>HTTP</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 10 Sep 2026 06:27:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/http-query-method/?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>2026-09-10T06:27:00Z</dc:date>
      <dc:identifier>/news/2026/09/http-query-method/en</dc:identifier>
    </item>
    <item>
      <title>CPython Officially Adds RISC-V Support as a Tier 3 Platform</title>
      <link>https://www.infoq.com/news/2026/09/riscv-cpython/?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/2026/09/riscv-cpython/en/headerimage/headerRiscV-1788953289765.jpg"/&gt;&lt;p&gt;The Python core development team has officially recognized RISC-V as a Tier 3 platform in CPython, following extensive community collaboration on its implementation. Ongoing efforts aim to enhance integration into the continuous testing pipeline and move towards Tier 2 support. Feedback from developers with RISC-V hardware is encouraged to improve stability and performance.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Python</category>
      <category>CPython</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 10 Sep 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/riscv-cpython/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-09-10T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/09/riscv-cpython/en</dc:identifier>
    </item>
    <item>
      <title>Meta's Recipe for Building Agents as "Organizational Second Brains"</title>
      <link>https://www.infoq.com/news/2026/09/meta-organizational-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/2026/09/meta-organizational-agents/en/headerimage/meta-organizational-experts-1788975705371.jpeg"/&gt;&lt;p&gt;Meta describes how an AI agent can be designed to capture the logic and expertise of domain experts, rather than simply storing documents or retrieving relevant information. The system, dubbed an "organizational second brain", was built for a specialized compliance domain, but Meta argues the architecture generalizes to areas like security, finance, engineering, and procurement.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Expert Systems</category>
      <category>Large language models</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Facebook</category>
      <category>Agents</category>
      <category>Enterprise</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Wed, 09 Sep 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/meta-organizational-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-09-09T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/meta-organizational-agents/en</dc:identifier>
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