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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Datadog Builds a Specialist AI Model for SRE Investigations</title>
      <link>https://www.infoq.com/news/2026/10/datadog-scout-sre-model/?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/datadog-scout-sre-model/en/headerimage/generatedHeaderImage-1793038066919.jpg"/&gt;&lt;p&gt;Datadog has released Scout, a model trained to investigate production problems. It runs inside Bits Investigation, the company's AI SRE product, where it can pick up an alert, look through telemetry and suggest what caused the problem. Datadog engineers and a small number of customers are using it in a closed preview.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Site Reliability Engineering</category>
      <category>AI Assisted Coding</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 29 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/datadog-scout-sre-model/?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>2026-10-29T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/10/datadog-scout-sre-model/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Introduces Web Search API for AI Applications</title>
      <link>https://www.infoq.com/news/2026/10/cloudflare-web-search-api/?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-web-search-api/en/headerimage/generatedHeaderImage-1791616850849.jpg"/&gt;&lt;p&gt;Cloudflare has recently launched a beta Web Search API through AI Gateway. Available through REST APIs and Cloudflare Workers, it provides unified logging, access controls, and billing, and supports bring-your-own-provider keys.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Search Engine</category>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Agents</category>
      <category>API</category>
      <category>Cloud Computing</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 29 Oct 2026 07:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/cloudflare-web-search-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-10-29T07:14:00Z</dc:date>
      <dc:identifier>/news/2026/10/cloudflare-web-search-api/en</dc:identifier>
    </item>
    <item>
      <title>Airbnb Cuts Recommendation Staleness from 2 Days to Seconds with Chronon</title>
      <link>https://www.infoq.com/news/2026/10/airbnb-chronon-recommendation/?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;Airbnb extended its Chronon feature platform with Push Mode and Near Real-Time Model Transform to update sequence-based recommendation embeddings within seconds. The architecture reduced embedding staleness from nearly two days to under a minute and improved offline NDCG by 1.67%, while online testing increased uncancelled bookings by approximately one-third of a percent.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Batch Processing</category>
      <category>Platforms</category>
      <category>MLOps</category>
      <category>Event Driven Architecture</category>
      <category>Streaming</category>
      <category>Real Time</category>
      <category>Transformer models</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 28 Oct 2026 13:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/airbnb-chronon-recommendation/?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>2026-10-28T13:53:00Z</dc:date>
      <dc:identifier>/news/2026/10/airbnb-chronon-recommendation/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Wrangling Telemetry at Scale: A Guide to Self-Hosted Observability</title>
      <link>https://www.infoq.com/presentations/self-hosted-observability-stack-tradeoffs/?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/self-hosted-observability-stack-tradeoffs/en/mediumimage/colin-douch-medium-1791450600829.jpeg"/&gt;&lt;p&gt;Colin Douch shares battle-tested strategies for building and scaling self-hosted observability stacks. He explains how to effectively correlate metrics, structured logs, and distributed traces using open-source tooling like Prometheus, VictoriaMetrics, and Jaeger, while navigating the engineering trade-offs of avoiding SaaS vendor lock-in.&lt;/p&gt; &lt;i&gt;By Colin Douch&lt;/i&gt;</description>
      <category>Open Source</category>
      <category>Metrics</category>
      <category>Prometheus</category>
      <category>Site Reliability Engineering</category>
      <category>Observability</category>
      <category>Transcripts</category>
      <category>Distributed Tracing</category>
      <category>QCon London 2026</category>
      <category>Telemetry</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Wed, 28 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/self-hosted-observability-stack-tradeoffs/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Colin Douch</dc:creator>
      <dc:date>2026-10-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/self-hosted-observability-stack-tradeoffs/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft's October Security Update Fixes 1,400+ Vulnerabilities, One Exploited in the Wild</title>
      <link>https://www.infoq.com/news/2026/10/microsoft-october-2026-patch/?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/microsoft-october-2026-patch/en/headerimage/microsoft-october-patch-1793129871505.jpeg"/&gt;&lt;p&gt;Microsoft's latest monthly security update addresses 1415 vulnerabilities across multiple products. One vulnerability affecting Windows Shell has been exploited in the wild, while 85 are classified as critical. Affected products include Windows OS, Office, Exchange, .NET, Edge, as well as potentially Hyper-V and Azure components.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Security Vulnerabilities</category>
      <category>Windows</category>
      <category>.NET</category>
      <category>Microsoft</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 28 Oct 2026 10:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/microsoft-october-2026-patch/?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>2026-10-28T10:30:00Z</dc:date>
      <dc:identifier>/news/2026/10/microsoft-october-2026-patch/en</dc:identifier>
    </item>
    <item>
      <title>Chrome Opens Trial for the Email Verification API: Letting Sites Verify Without Sending Emails</title>
      <link>https://www.infoq.com/news/2026/10/chrome-email-verification/?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/chrome-email-verification/en/headerimage/generatedHeaderImage-1793091215457.jpg"/&gt;&lt;p&gt;Google has opened a Chrome origin trial for the Email Verification API, a WICG proposal that lets the browser confirm email ownership without sending a message. Gmail is the first provider. Developers add form hints and validate a signed token server-side. Commenters question the privacy benefit, and the API is best used as a progressive enhancement.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>JavaScript</category>
      <category>TypeScript</category>
      <category>Chrome</category>
      <category>Email</category>
      <category>Google</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 28 Oct 2026 09:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/chrome-email-verification/?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>2026-10-28T09:32:00Z</dc:date>
      <dc:identifier>/news/2026/10/chrome-email-verification/en</dc:identifier>
    </item>
    <item>
      <title>Article: Building an Offline-First AI Coding Tutor for Low-End Android Phones</title>
      <link>https://www.infoq.com/articles/building-offline-first-android-app-low-end-devices/?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/building-offline-first-android-app-low-end-devices/en/headerimage/building-offline-first-android-app-low-end-devices-header-1792571789716.jpg"/&gt;&lt;p&gt;This article is about engineering an offline-first app for low-end devices based on our experience in  Nigeria and India. The interesting problems in this space are storage, quota, cold start, and failure-path design. Our approach applies to any product whose users are on constrained devices and intermittent connections, when the assumption they have a laptop and broadband access do not hold.&lt;/p&gt; &lt;i&gt;By Chidi Nwaogu&lt;/i&gt;</description>
      <category>Mobile-first in Africa</category>
      <category>Mobile</category>
      <category>WebAssembly</category>
      <category>Africa</category>
      <category>Android</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Wed, 28 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/building-offline-first-android-app-low-end-devices/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Chidi Nwaogu</dc:creator>
      <dc:date>2026-10-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/building-offline-first-android-app-low-end-devices/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Opens Quicksilver to Customers as Workers KV Instant, Inside a 1 MB Envelope</title>
      <link>https://www.infoq.com/news/2026/10/workers-kv-instant/?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;Cloudflare has put Quicksilver, the internal key-value store behind nearly every request it serves, into private beta as a Workers KV mode. Reads resolve in 1.62 ms at p99 against 287 ms for classic KV. The constraints decide the use case: 10,000 keys, one megabyte per namespace, and one write per namespace per second.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Performance</category>
      <category>Database Design</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 28 Oct 2026 08:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/workers-kv-instant/?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>2026-10-28T08:57:00Z</dc:date>
      <dc:identifier>/news/2026/10/workers-kv-instant/en</dc:identifier>
    </item>
    <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>State-machine</category>
      <category>Cloud</category>
      <category>Apache Kafka</category>
      <category>Automation in the Cloud and Management at Scale</category>
      <category>Kubernetes</category>
      <category>Uber</category>
      <category>AWS</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</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>Distributed Systems</category>
      <category>Anthropic</category>
      <category>Git</category>
      <category>Source Control</category>
      <category>Version Control</category>
      <category>AI Development</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>Large language models</category>
      <category>Optimization</category>
      <category>Transcripts</category>
      <category>Valkey</category>
      <category>Distributed Systems</category>
      <category>Redis</category>
      <category>Caching</category>
      <category>GPU</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</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>Common Vulnerabilities and Exposures</category>
      <category>CVE</category>
      <category>Agentic AI Architecture</category>
      <category>Linux</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>Web Development</category>
      <category>Rust</category>
      <category>JavaScript</category>
      <category>Cloudflare</category>
      <category>AI Coding</category>
      <category>TypeScript</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>Software Development Lifecycle</category>
      <category>Agents</category>
      <category>Atlassian</category>
      <category>Software Development</category>
      <category>Artificial Intelligence</category>
      <category>Developer Experience</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</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>Large language models</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Agents</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>
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