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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Uber Moves beyond CPU Cores with Performance-Aware Scheduling for Stateful Workloads</title>
      <link>https://www.infoq.com/news/2026/10/uber-cpu-stateful-workloads/?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/2026/10/uber-cpu-stateful-workloads/en/headerimage/generatedHeaderImage-1792576315045.jpg"/&gt;&lt;p&gt;Uber has introduced Normalized Compute Units (NCUs) to make CPU allocation more consistent across its highly heterogeneous server fleet.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Apache Kafka</category>
      <category>Cloud</category>
      <category>Uber</category>
      <category>AWS</category>
      <category>Automation in the Cloud and Management at Scale</category>
      <category>State-machine</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 27 Oct 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/uber-cpu-stateful-workloads/?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>2026-10-27T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/uber-cpu-stateful-workloads/en</dc:identifier>
    </item>
    <item>
      <title>How Anthropic Redesigned Source Control for AI-Driven Development</title>
      <link>https://www.infoq.com/news/2026/10/anthropic-source-control/?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/2026/10/anthropic-source-control/en/headerimage/scion-architecture-header-1792669549048.jpeg"/&gt;&lt;p&gt;Anthropic recently detailed how it migrated its monorepo from Git to Scion. Scion is a source control system that moves repository operations to the server side and uses content-addressed storage and tiered caches for agent and CI workloads. The design sacrifices offline independence for less local data and shared infrastructure.&lt;/p&gt; &lt;i&gt;By Eran Stiller&lt;/i&gt;</description>
      <category>Version Control</category>
      <category>AI Development</category>
      <category>Git</category>
      <category>Anthropic</category>
      <category>Source Control</category>
      <category>Distributed Systems</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 27 Oct 2026 11:25:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/anthropic-source-control/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Eran Stiller</dc:creator>
      <dc:date>2026-10-27T11:25:00Z</dc:date>
      <dc:identifier>/news/2026/10/anthropic-source-control/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Serving LLMs at Scale: The Hidden KV Cache Advantage</title>
      <link>https://www.infoq.com/presentations/llm-inference-kv-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/presentations/llm-inference-kv-cache/en/mediumimage/medium-1792066105733.jpeg"/&gt;&lt;p&gt;Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, leveraging tiered storage, reducing tail latency, and implementing disaggregated prefill and decode architectures to improve overall fleet performance, cost economics, and availability.&lt;/p&gt; &lt;i&gt;By Khawaja Shams&lt;/i&gt;</description>
      <category>Optimization</category>
      <category>QCon AI Boston 2026</category>
      <category>Large language models</category>
      <category>Redis</category>
      <category>Caching</category>
      <category>Valkey</category>
      <category>Transcripts</category>
      <category>GPU</category>
      <category>Distributed Systems</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Tue, 27 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/llm-inference-kv-cache/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Khawaja Shams</dc:creator>
      <dc:date>2026-10-27T11:00:00Z</dc:date>
      <dc:identifier>/presentations/llm-inference-kv-cache/en</dc:identifier>
    </item>
    <item>
      <title>AWS Shows Use of AI Agents to Triage Linux Kernel CVEs</title>
      <link>https://www.infoq.com/news/2026/10/aws-ai-agents-linux-kernel-cves/?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/2026/10/aws-ai-agents-linux-kernel-cves/en/headerimage/generatedHeaderImage-1793031817205.jpg"/&gt;&lt;p&gt;Engineers from Amazon Web Services (AWS) have described how the team that maintains the Linux kernel for EC2 infrastructure handles kernel CVEs. The process combines an automated filter, an AI agent and human review. The team also argues that it needs to move to newer long-term-support (LTS) kernels, as older branches collect fixes that are never backported.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>CVE</category>
      <category>Common Vulnerabilities and Exposures</category>
      <category>Linux</category>
      <category>Agentic AI Architecture</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 27 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/aws-ai-agents-linux-kernel-cves/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-10-27T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/aws-ai-agents-linux-kernel-cves/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare and VoidZero Introduce tsrs: An AI-Generated Rust Port of TypeScript</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-tsrs-ai-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/2026/10/cloudflare-tsrs-ai-typescript/en/headerimage/generatedHeaderImage-1793039825386.jpg"/&gt;&lt;p&gt;Cloudflare, VoidZero and Max Schwenk announced tsrs, an experimental Rust port of the TypeScript compiler, built with the TypeScript team's involvement. Cloudflare claims up to 8x faster checking and 70% less memory than TypeScript 7.0, though one test against 7.1 beta showed 2.7x. It lacks watch mode and a language server, and exits with code 2 on type errors.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Rust</category>
      <category>JavaScript</category>
      <category>TypeScript</category>
      <category>Cloudflare</category>
      <category>AI Coding</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 27 Oct 2026 07:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-tsrs-ai-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>2026-10-27T07:34:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-tsrs-ai-typescript/en</dc:identifier>
    </item>
    <item>
      <title>Developers Reporting Double-Digit Weekly Time Savings from AI Fell from 68% to 26%</title>
      <link>https://www.infoq.com/news/2026/10/atlassian-devex-2026/?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/2026/10/atlassian-devex-2026/en/headerimage/generatedHeaderImage-1793026389174.jpg"/&gt;&lt;p&gt;Atlassian’s State of Developer Experience 2026 finds the share of developers saving ten or more hours a week with AI dropped from 68% to 26% year over year, while only 28% report noticeably less friction than before AI. Engineering leaders report spending more time managing and correcting AI output than developers do.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Atlassian</category>
      <category>Developer Experience</category>
      <category>Software Development Lifecycle</category>
      <category>Software Development</category>
      <category>Artificial Intelligence</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Tue, 27 Oct 2026 04:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/atlassian-devex-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-27T04:45:00Z</dc:date>
      <dc:identifier>/news/2026/10/atlassian-devex-2026/en</dc:identifier>
    </item>
    <item>
      <title>AGNTCon + MCPCon 2026: Agentic AI Foundation Adds Four Projects as MCP Turns to Security</title>
      <link>https://www.infoq.com/news/2026/10/agntcon-mcpcon-2026/?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/2026/10/agntcon-mcpcon-2026/en/headerimage/agntcon-header-1792936265463.jpg"/&gt;&lt;p&gt;At AGNTCon + MCPCon North America 2026, the Agentic AI Foundation added OpenSandbox, Open Responses, Agent Skills, and OpenEnv, reaching ten projects in its first year. Keynotes from Anthropic, OpenAI, Google, and UC Berkeley focused on MCP in production, security, and agents with their own identities.&lt;/p&gt; &lt;i&gt;By Andrew Hoblitzell&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>Agents</category>
      <category>Large language models</category>
      <category>Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 22:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/agntcon-mcpcon-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Andrew Hoblitzell</dc:creator>
      <dc:date>2026-10-26T22:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/agntcon-mcpcon-2026/en</dc:identifier>
    </item>
    <item>
      <title>OpenTofu 1.13 Lets Module Authors Reduce Unknown Values at Plan Time</title>
      <link>https://www.infoq.com/news/2026/10/opentofu-1-13-unknown-values/?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/2026/10/opentofu-1-13-unknown-values/en/headerimage/header-1792823798248.jpeg"/&gt;&lt;p&gt;OpenTofu 1.13 adds convert and assume... functions that let module authors give the planner type and value hints for unknown values, so more expressions resolve during tofu plan. If a value unknown during planning later violates a guarantee, OpenTofu reports an error during apply.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Terraform</category>
      <category>Cloud Native Computing Foundation</category>
      <category>Infrastructure as Code</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 21:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/opentofu-1-13-unknown-values/?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>2026-10-26T21:26:00Z</dc:date>
      <dc:identifier>/news/2026/10/opentofu-1-13-unknown-values/en</dc:identifier>
    </item>
    <item>
      <title>DigitalOcean Launches Learning and Data Services to Enable Self-Improving AI Agents</title>
      <link>https://www.infoq.com/news/2026/10/digitalocean-self-improving-ai/?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/2026/10/digitalocean-self-improving-ai/en/headerimage/digitalocean-managed-agents-1793035926117.jpeg"/&gt;&lt;p&gt;DigitalOcean has announced the public preview of Learning Services and Agent Data Services, enabling developers to build, evaluate, and continuously improve AI agents within a unified, AI-native, cloud platform.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Large language models</category>
      <category>Continuous Improvement</category>
      <category>Observability</category>
      <category>Digital Ocean</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 18:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/digitalocean-self-improving-ai/?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>2026-10-26T18:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/digitalocean-self-improving-ai/en</dc:identifier>
    </item>
    <item>
      <title>Production AI and Engineering Team Design: InfoQ’s November Certification Cohorts</title>
      <link>https://www.infoq.com/news/2026/10/online-cohorts-nov-certification/?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/2026/10/online-cohorts-nov-certification/en/headerimage/InfoQ-Nov-Cohorts-v3-1793013188536.jpg"/&gt;&lt;p&gt;A preview of three November InfoQ online certification cohorts covering production AI systems, retrieval and agent design, engineering team flow, AI roles, and measurement, facilitated by Adi Polak, Lan Chu, and Olimpiu Pop.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>AI Certification</category>
      <category>AI Engineering Certification</category>
      <category>InfoQ Certification Program</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/online-cohorts-nov-certification/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-10-26T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/online-cohorts-nov-certification/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: JDK 28 Schedule, Oracle CPUs, eMudhra Certs, Apache POI, WildFly, Azul, BellSoft</title>
      <link>https://www.infoq.com/news/2026/10/java-news-roundup-oct19-2026/?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/2026/10/java-news-roundup-oct19-2026/en/headerimage/java-news-roundup-image-1793025199136.jpg"/&gt;&lt;p&gt;This week's Java roundup for October 19th, 2026, features news highlighting: the proposed release schedule for JDK 28; the eMudhra Intermediate CA certificates breach; the October 2026 Critical Patch Update; Azul and BellSoft CPUs; GA releases of WildFly 42 and Apache POI 6.0; the beta release of Open Liberty 26.0.0.11; and maintenance releases of Micronaut and JobRunr.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Micronaut</category>
      <category>Azul</category>
      <category>JDK 28</category>
      <category>Open Liberty</category>
      <category>Apache POI</category>
      <category>Java</category>
      <category>Security Vulnerabilities</category>
      <category>JBoss WildFly</category>
      <category>BellSoft</category>
      <category>JobRunr</category>
      <category>Open JDK</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 14:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/java-news-roundup-oct19-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-10-26T14:35:00Z</dc:date>
      <dc:identifier>/news/2026/10/java-news-roundup-oct19-2026/en</dc:identifier>
    </item>
    <item>
      <title>Readyon Builds Four Layer Tenant Isolation for Multi Tenant Amazon EKS</title>
      <link>https://www.infoq.com/news/2026/10/readyon-four-layer-isolation/?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;ReadyOn has detailed a four-layer tenant isolation architecture for its Harmony platform on Amazon EKS. The design combines Kubernetes namespaces, dedicated Karpenter node pools, VPC security groups, and per-tenant Aurora databases, with controls evaluated against a 10-stage multi-tenant threat model focused on cross-tenant access and lateral movement.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Threat Modeling</category>
      <category>Virtual PC</category>
      <category>Kubernetes</category>
      <category>Network Security</category>
      <category>Multi-tenancy</category>
      <category>Observability</category>
      <category>Security</category>
      <category>GitOps</category>
      <category>Amazon</category>
      <category>Isolates</category>
      <category>Cloud Security</category>
      <category>Multi-Tenant Data</category>
      <category>Argo CD</category>
      <category>policy</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 14:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/readyon-four-layer-isolation/?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>2026-10-26T14:07:00Z</dc:date>
      <dc:identifier>/news/2026/10/readyon-four-layer-isolation/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Evolution of Agentic Harnesses: From Chains to Graph to Code</title>
      <link>https://www.infoq.com/articles/agentic-ai-architecture-harness-evolution/?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/agentic-ai-architecture-harness-evolution/en/headerimage/agentic-ai-architecture-harness-evolution-header-1792744961862.jpg"/&gt;&lt;p&gt;Agentic LLM systems have moved from linear prompt chains to graph-based workflows and, more recently, code-executing harnesses. Chains are simple but fragile, graphs add branching, retries, and validation, and code harnesses verify outputs through execution. The article advises validating model outputs and choosing the least complex design that meets reliability, speed, and cost needs.&lt;/p&gt; &lt;i&gt;By Karthik Ramgopal&lt;/i&gt;</description>
      <category>Model Context Protocol (MCP)</category>
      <category>Large language models</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Agentic AI Architecture</category>
      <category>LangChain</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 26 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agentic-ai-architecture-harness-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Karthik Ramgopal</dc:creator>
      <dc:date>2026-10-26T11:00:00Z</dc:date>
      <dc:identifier>/articles/agentic-ai-architecture-harness-evolution/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare’s Auto Router Rates Each Request for Stakes, from the Most Recent Turns</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-auto-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/2026/10/cloudflare-auto-router/en/headerimage/generatedHeaderImage-1792492628413.jpg"/&gt;&lt;p&gt;Cloudflare has released Auto Router in public beta through AI Gateway, picking a model per request from a classifier that scores complexity, ambiguity, stakes and context dependence. Cloudflare’s own benchmark puts it ten points below Claude Opus 5.5 on success rate at a third of the cost, and practitioners have questioned how stakes survive a long agent session.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 10:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-auto-router/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-10-26T10:20:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-auto-router/en</dc:identifier>
    </item>
    <item>
      <title>MCP C# SDK 2.0 Makes HTTP Stateless by Default and Adds Multi Round-Trip Requests</title>
      <link>https://www.infoq.com/news/2026/10/MCP-CSharp-SDK-Stateless/?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/2026/10/MCP-CSharp-SDK-Stateless/en/headerimage/header-1792707557585.jpg"/&gt;&lt;p&gt;Microsoft announced version 2.0 of the official MCP C# SDK, which implements the 2026-07-28 revision of the Model Context Protocol with stateless HTTP servers by default, standardised routing headers and Multi Round-Trip Requests. Releases 2.1 to 2.3 have since added hybrid session serving, a subscriptions/listen handler and a series of discovery, OAuth and shutdown fixes.&lt;/p&gt; &lt;i&gt;By Edin Kapić&lt;/i&gt;</description>
      <category>C#</category>
      <category>Model Context Protocol (MCP)</category>
      <category>.NET</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 26 Oct 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/MCP-CSharp-SDK-Stateless/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Edin Kapić</dc:creator>
      <dc:date>2026-10-26T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/MCP-CSharp-SDK-Stateless/en</dc:identifier>
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