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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Building a Culture for a Kubernetes-Based Platform in a Bank</title>
      <link>https://www.infoq.com/news/2026/11/culture-kubernetes-bank/?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/2026/11/culture-kubernetes-bank/en/headerimage/generatedHeaderImage-1793781033508.jpg"/&gt;&lt;p&gt;In banking, open source can earn trust by running real workloads, as Marcy Paramonova and Stéphane Cusin explained in their talk Building Cloud Native Culture in a Bank at KubeCon &amp; CloudNativeCon Europe. Deploying Kubernetes was the easy part; the hard part was culture: community of practice, shared knowledge, rituals, ownership. Teams try things, keep what works, and improve bottom-up.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Platforms</category>
      <category>Regulation</category>
      <category>Open Source</category>
      <category>Open Banking</category>
      <category>Continuous Improvement</category>
      <category>Culture Change</category>
      <category>Platform Engineering</category>
      <category>learning</category>
      <category>Kubernetes</category>
      <category>Culture</category>
      <category>Community</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 05 Nov 2026 11:11:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/culture-kubernetes-bank/?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>2026-11-05T11:11:00Z</dc:date>
      <dc:identifier>/news/2026/11/culture-kubernetes-bank/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Zero Trust Agent Systems that Pass Audits and Still Ship</title>
      <link>https://www.infoq.com/presentations/zero-trust-ai-agents-production-security/?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/zero-trust-ai-agents-production-security/en/mediumimage/advait-patel-medium-1792655207658.jpeg"/&gt;&lt;p&gt;Advait Patel shares a playbook for securing AI agent systems in production. He discusses moving defense boundaries from the prompt to the tool layer, enforcing scoped workload identities, and mitigating prompt injection via tool outputs. He explains how to structure audit-ready observability and implement kill switches to protect critical data while keeping deployment fast and compliant.&lt;/p&gt; &lt;i&gt;By Advait Patel&lt;/i&gt;</description>
      <category>QCon AI Boston 2026</category>
      <category>Architecture</category>
      <category>Zero Trust</category>
      <category>Observability</category>
      <category>DevSecOps</category>
      <category>Compliance</category>
      <category>OWASP</category>
      <category>AI Security</category>
      <category>Logging</category>
      <category>Software Supply Chain</category>
      <category>Transcripts</category>
      <category>Cloud Security</category>
      <category>Agents</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Thu, 05 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/zero-trust-ai-agents-production-security/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Advait Patel</dc:creator>
      <dc:date>2026-11-05T11:00:00Z</dc:date>
      <dc:identifier>/presentations/zero-trust-ai-agents-production-security/en</dc:identifier>
    </item>
    <item>
      <title>Inkitt Builds a One-Shot PR Creator with Resumable Agent Orchestration</title>
      <link>https://www.infoq.com/news/2026/11/inkitt-one-shot-pr-creator-agent/?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;Inkitt built a one-shot pull request creator that automates small, low-risk code changes from task intake to draft PR creation. Its event-driven orchestrator persists workflow state, coordinates short-lived coding agent containers, bounds retries, and enforces permission restrictions while retaining human review and approval before changes can be merged.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>Orchestration</category>
      <category>Continuous Delivery</category>
      <category>github</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>Event Driven Architecture</category>
      <category>Continuous Integration</category>
      <category>Agents</category>
      <category>AI Coding</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 04 Nov 2026 14:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/inkitt-one-shot-pr-creator-agent/?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>2026-11-04T14:36:00Z</dc:date>
      <dc:identifier>/news/2026/11/inkitt-one-shot-pr-creator-agent/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Panel: Who Builds the Frontend Now? (And What Breaks When They Do)</title>
      <link>https://www.infoq.com/presentations/panel-ai-frontend-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/panel-ai-frontend-architecture/en/mediumimage/medium-1792133520845.jpg"/&gt;&lt;p&gt;The panelists explain how AI tools and vibe coding reshape frontend and mobile engineering. They share insights on evolving junior developer roles, managing AI-generated code review fatigue, designing systems for autonomous agents, enforcing architectural guardrails, and navigating economic shifts in open-source software sustainability.&lt;/p&gt; &lt;i&gt;By Luca Mezzalira, James Hall, Danielle An, Ivan Zarea&lt;/i&gt;</description>
      <category>Code Quality</category>
      <category>Architecture</category>
      <category>AI Architecture</category>
      <category>Transcripts</category>
      <category>Management</category>
      <category>Agents</category>
      <category>QCon London 2026</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 04 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/panel-ai-frontend-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Luca Mezzalira, James Hall, Danielle An, Ivan Zarea</dc:creator>
      <dc:date>2026-11-04T11:00:00Z</dc:date>
      <dc:identifier>/presentations/panel-ai-frontend-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Amazon ECS Gateway Arrives with Generated Hostnames and No Custom Domain Support</title>
      <link>https://www.infoq.com/news/2026/11/introducing-amazon-ecs-gateway/?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;AWS has released Amazon ECS Gateway, an account-level ingress resource letting platform teams define networking once and application teams opt services in with a connector. Each service gets a generated hostname and routing is host-based, and neither the announcement nor the documentation covers custom domains.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Networking</category>
      <category>AWS</category>
      <category>Containers</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 04 Nov 2026 09:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/introducing-amazon-ecs-gateway/?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>2026-11-04T09:49:00Z</dc:date>
      <dc:identifier>/news/2026/11/introducing-amazon-ecs-gateway/en</dc:identifier>
    </item>
    <item>
      <title>Article: The App Is Just the Tip: What It Takes to Build Mobile Infrastructure at Scale</title>
      <link>https://www.infoq.com/articles/mobile-app-infrastructure-at-scale/?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/mobile-app-infrastructure-at-scale/en/headerimage/mobile-app-infrastructure-at-scale-header-1793263251757.jpg"/&gt;&lt;p&gt;What determines whether your app feels fast, ships often, and stays stable at scale is not the app itself. It is what sits behind it. This article is about that layer: what it does, why it exists, what it takes to design it correctly, and what happens when you try to migrate a live, high-traffic product onto it without a safety net.&lt;/p&gt; &lt;i&gt;By Kirill Sokolov&lt;/i&gt;</description>
      <category>iOS</category>
      <category>REST</category>
      <category>API</category>
      <category>Architecture</category>
      <category>Microservices</category>
      <category>Android</category>
      <category>Mobile</category>
      <category>Development</category>
      <category>article</category>
      <pubDate>Wed, 04 Nov 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/mobile-app-infrastructure-at-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Kirill Sokolov</dc:creator>
      <dc:date>2026-11-04T09:00:00Z</dc:date>
      <dc:identifier>/articles/mobile-app-infrastructure-at-scale/en</dc:identifier>
    </item>
    <item>
      <title>Docker Urges Isolation and Governance for AI Agent Security</title>
      <link>https://www.infoq.com/news/2026/11/docker-ai-agent-security/?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/2026/11/docker-ai-agent-security/en/headerimage/generatedHeaderImage-1793733720293.jpg"/&gt;&lt;p&gt;Docker has published a guide to five security risks that arise when AI agents are allowed to browse, run code and call tools with limited human oversight. They argue that the autonomy that makes agents useful also makes conventional application security controls insufficient. The company positions isolation and governance, rather than model improvements alone, as the main defences.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>AI Security</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Wed, 04 Nov 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/docker-ai-agent-security/?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>2026-11-04T09:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/docker-ai-agent-security/en</dc:identifier>
    </item>
    <item>
      <title>Google Launches LiteRT Tensor API for Building, Customizing, and Optimizing ML Models for On-Device</title>
      <link>https://www.infoq.com/news/2026/11/litert-tensor-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/2026/11/litert-tensor-api/en/headerimage/litert-tensor-api-1793729374644.jpeg"/&gt;&lt;p&gt;Google has introduced the LiteRT Tensor API, a lightweight C++ API that allows developers to build, customize, and optimize machine learning models directly for on-device execution. According to Google, it combines the flexibility of native model authoring with cross-platform portability.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>iOS</category>
      <category>GPU</category>
      <category>AI coding agents</category>
      <category>Open Source</category>
      <category>Google</category>
      <category>Android</category>
      <category>TensorFlow</category>
      <category>Mobile</category>
      <category>C++</category>
      <category>Edge Computing</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 03 Nov 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/litert-tensor-api/?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>2026-11-03T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/litert-tensor-api/en</dc:identifier>
    </item>
    <item>
      <title>Vitest 5: Prioritises Performance with a Shared Vite Server, Trace View, and Stricter Test Defaults</title>
      <link>https://www.infoq.com/news/2026/11/vite-5-release/?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/2026/11/vite-5-release/en/headerimage/generatedHeaderImage-1793723335877.jpg"/&gt;&lt;p&gt;Vitest 5.0 focuses on speed, with reported gains of 8 to 25 percent in most setups and up to 53 percent in VM pools. It adds a vitest doctor command, Browser Mode Trace View, and vi.when. Defaults are stricter: clearMocks is true and unawaited async assertions fail. It requires Vite 6.4 and Node.js 22.12 or newer.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 03 Nov 2026 16:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/vite-5-release/?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>2026-11-03T16:47:00Z</dc:date>
      <dc:identifier>/news/2026/11/vite-5-release/en</dc:identifier>
    </item>
    <item>
      <title>LinkedIn Uses OpenTelemetry to Trace the Member Journey from Tap to Backend</title>
      <link>https://www.infoq.com/news/2026/11/linkedin-opentelemetry-journey/?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/2026/11/linkedin-opentelemetry-journey/en/headerimage/generatedHeaderImage-1793095474316.jpg"/&gt;&lt;p&gt;LinkedIn has built an OpenTelemetry-based telemetry platform that connects what members do in its iOS, Android, and web applications with the backend services processing those interactions.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Observability</category>
      <category>LinkedIn</category>
      <category>OpenTelemetry</category>
      <category>User Experience</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 03 Nov 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/linkedin-opentelemetry-journey/?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>2026-11-03T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/linkedin-opentelemetry-journey/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Beyond the Harness: Canvas for AI Agents</title>
      <link>https://www.infoq.com/presentations/canvas-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/presentations/canvas-ai-agents/en/mediumimage/nimisha-asthagiri-medium-1792655073821.jpg"/&gt;&lt;p&gt;Nimisha Asthagiri shares how applying proven product engineering and architecture principles creates a bounded canvas for AI agents. She explains how this model provides agents with bounded autonomy, continuous drift detection, and decision records to scale software development resiliently.&lt;/p&gt; &lt;i&gt;By Nimisha Asthagiri&lt;/i&gt;</description>
      <category>QCon AI Boston 2026</category>
      <category>Leadership</category>
      <category>Metrics</category>
      <category>AI Harness</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Context Engineering</category>
      <category>Agents</category>
      <category>Evolutionary Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 03 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/canvas-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Nimisha Asthagiri</dc:creator>
      <dc:date>2026-11-03T11:00:00Z</dc:date>
      <dc:identifier>/presentations/canvas-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Google and Meta Open-Source TorchTPU to Bring Native PyTorch Support to Google TPUs</title>
      <link>https://www.infoq.com/news/2026/11/torchtpu-native-pythorch-tpu/?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/2026/11/torchtpu-native-pythorch-tpu/en/headerimage/torchtpu-1793636927771.jpeg"/&gt;&lt;p&gt;TorchTPU is an open-source project developed by Google in collaboration with Meta that provides a native PyTorch backend for Google TPUs. It enables PyTorch workloads to execute on TPU hardware with minimal code modifications, supporting eager and compiled execution, distributed computing, and hardware-specific optimizations.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>GPU</category>
      <category>Open Source</category>
      <category>Facebook</category>
      <category>Google</category>
      <category>PyTorch</category>
      <category>Agents</category>
      <category>Large language models</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/torchtpu-native-pythorch-tpu/?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>2026-11-02T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/torchtpu-native-pythorch-tpu/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: TornadoVM 8.0, JNoSQL, Endive, JReleaser, JBang, LangChain4j, Quarkus Almanac</title>
      <link>https://www.infoq.com/news/2026/11/java-news-roundup-oct26-2026/?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/2026/11/java-news-roundup-oct26-2026/en/headerimage/java-news-roundup-image-1793638258393.jpg"/&gt;&lt;p&gt;This week's Java roundup for October 26th, 2026, features news highlighting: the GA release of TornadoVM 8.0; point releases of JNoSQL, Endive, JBang, JReleaser and LangChain4j; a maintenance release of JobRunr; beta releases of Hibernate ORM and Hibernate Reactive; and introducing the Quarkus Almanac.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Eclipse JNoSQL</category>
      <category>TornadoVM</category>
      <category>LangChain4j</category>
      <category>Hibernate Reactive</category>
      <category>Hibernate ORM</category>
      <category>Endive</category>
      <category>JDK 28</category>
      <category>JBang</category>
      <category>JobRunr</category>
      <category>JReleaser</category>
      <category>Gradle</category>
      <category>Quarkus</category>
      <category>Java</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 17:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/java-news-roundup-oct26-2026/?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>2026-11-02T17:00:00Z</dc:date>
      <dc:identifier>/news/2026/11/java-news-roundup-oct26-2026/en</dc:identifier>
    </item>
    <item>
      <title>Uber Builds MCP Gateway to Govern Access to 800+ Servers and 5,000+ AI Agent Tools</title>
      <link>https://www.infoq.com/news/2026/11/uber-mcp-gateway-ai-agents/?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;Uber has built an MCP Gateway to standardize how AI agents discover and invoke internal services across more than 800 MCP servers and 5,000 tools. The gateway separates tool registration from runtime execution and includes automated API discovery, access controls, sensitive data redaction, incremental tool discovery through Omni MCP, and response filtering.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>gRPC</category>
      <category>Thrift</category>
      <category>REST</category>
      <category>Service Discovery</category>
      <category>API Gateway</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Distributed Systems</category>
      <category>Microservices</category>
      <category>Infrastructure</category>
      <category>Agents</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 02 Nov 2026 13:53:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/11/uber-mcp-gateway-ai-agents/?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>2026-11-02T13:53:00Z</dc:date>
      <dc:identifier>/news/2026/11/uber-mcp-gateway-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Article: Systemic Approach to Memory, Knowledge, and Context in Agentic AI Architectures</title>
      <link>https://www.infoq.com/articles/agentic-ai-context-memory-knowledge/?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-context-memory-knowledge/en/headerimage/agentic-ai-context-memory-knowledge-header-1793173492489.jpg"/&gt;&lt;p&gt;The article argues that reliable agentic AI architecture depends on a context engine that selects, injects, compresses, and expires information before it reaches the model. It separates context, memory, and knowledge, and recommends tiered memory, curated knowledge, and token budgeting. It also covers common anti-patterns, such as context stuffing and stale data loops, with mitigations.&lt;/p&gt; &lt;i&gt;By Adi Polak&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Memory</category>
      <category>Context Engineering</category>
      <category>Large language models</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 02 Nov 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agentic-ai-context-memory-knowledge/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Adi Polak</dc:creator>
      <dc:date>2026-11-02T11:00:00Z</dc:date>
      <dc:identifier>/articles/agentic-ai-context-memory-knowledge/en</dc:identifier>
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