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    <title>InfoQ - Programming</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Programming feed</description>
    <item>
      <title>Presentation: Ontology‐Driven Observability: Building the E2E Knowledge Graph at Netflix Scale</title>
      <link>https://www.infoq.com/presentations/netflix-observability-aiops-ontology-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/presentations/netflix-observability-aiops-ontology-scale/en/mediumimage/medium-1790845339712.jpg"/&gt;&lt;p&gt;Prasanna Vijayanathan and Renzo Sanchez-Silva share how Netflix tackles observability across 38M events/sec. They discuss replacing reactive monitoring with an AI-driven operational ontology and agentic workflows using Claude and graph databases. They explain how unifying MELT telemetry into queryable knowledge graphs enables automated triaging, root-cause analysis, and self-healing systems.&lt;/p&gt; &lt;i&gt;By Prasanna Vijayanathan, Renzo Sanchez-Silva&lt;/i&gt;</description>
      <category>Scaling</category>
      <category>Site Reliability Engineering</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>Ontology</category>
      <category>Observability</category>
      <category>Telemetry</category>
      <category>AIOps</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 09 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/netflix-observability-aiops-ontology-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Prasanna Vijayanathan, Renzo Sanchez-Silva</dc:creator>
      <dc:date>2026-10-09T11:00:00Z</dc:date>
      <dc:identifier>/presentations/netflix-observability-aiops-ontology-scale/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Multi-Agent Patterns from Spotify’s AI Powered Advertising Platform</title>
      <link>https://www.infoq.com/presentations/spotify-multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/presentations/spotify-multi-agent-ai-architecture/en/mediumimage/pratik-rasam-medium-1790847111671.jpeg"/&gt;&lt;p&gt;Pratik Rasam discusses how Spotify Ads Manager runs production-grade multi-agent systems at scale using Google ADK Java. He shares key architectural patterns, domain ownership models, deterministic guardrails, and tracing-based evaluation strategies, detailing hard-learned lessons on drawing agent boundaries, optimizing tool schemas, and managing costs while avoiding monolithic agent pitfalls.&lt;/p&gt; &lt;i&gt;By Pratik Rasam&lt;/i&gt;</description>
      <category>Patterns</category>
      <category>Performance Evaluation</category>
      <category>Prompt Engineering</category>
      <category>Agents</category>
      <category>Generative AI</category>
      <category>Transcripts</category>
      <category>AI Architecture</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 08 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/spotify-multi-agent-ai-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Pratik Rasam</dc:creator>
      <dc:date>2026-10-08T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spotify-multi-agent-ai-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Reinvention of the Dev Team</title>
      <link>https://www.infoq.com/presentations/agentic-dev-teams/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/presentations/agentic-dev-teams/en/mediumimage/medium-1790242915891.jpeg"/&gt;&lt;p&gt;Hannah Foxwell shares how the surge of agentic coding forces engineering leaders to rethink team dynamics. She discusses three key anchors for navigating AI-driven velocity: building software worth building, prioritizing automated safety over speed, and preserving the human element through generalist "broken comb" skillsets and sustainable on-call practices.&lt;/p&gt; &lt;i&gt;By Hannah Foxwell&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>Product Management</category>
      <category>Site Reliability Engineering</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>Architecture</category>
      <category>Platform Engineering</category>
      <category>Artificial Intelligence</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Wed, 07 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/agentic-dev-teams/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Hannah Foxwell</dc:creator>
      <dc:date>2026-10-07T11:00:00Z</dc:date>
      <dc:identifier>/presentations/agentic-dev-teams/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Building Resilient Platforms: Insights from 20+ Years in Mission-Critical Infrastructure</title>
      <link>https://www.infoq.com/presentations/infrastructure-financial-services-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/presentations/infrastructure-financial-services-platform/en/mediumimage/medium-1790844962852.jpeg"/&gt;&lt;p&gt;Matthew Liste explains the 12 core principles of building scalable, reliable platforms for enterprise tech teams. From avoiding technical debt and managing deprecation to building a strong engineering culture, Liste discusses how to design infrastructure platforms that reduce complexity, streamline developer workflows, and deliver long-term value for senior architects and engineering leaders.&lt;/p&gt; &lt;i&gt;By Matthew Liste&lt;/i&gt;</description>
      <category>Financial Applications</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>QCon San Francisco 2025</category>
      <category>Infrastructure</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Tue, 06 Oct 2026 09:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/infrastructure-financial-services-platform/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Matthew Liste</dc:creator>
      <dc:date>2026-10-06T09:59:00Z</dc:date>
      <dc:identifier>/presentations/infrastructure-financial-services-platform/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Building Reusable Evaluation Frameworks for Agentic AI Products</title>
      <link>https://www.infoq.com/presentations/elastic-ai-agent-evaluations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/presentations/elastic-ai-agent-evaluations/en/mediumimage/susan-chang-medium-1790846586191.jpeg"/&gt;&lt;p&gt;Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to catch regressions across complex RAG and cybersecurity workloads while preserving domain context.&lt;/p&gt; &lt;i&gt;By Susan Chang&lt;/i&gt;</description>
      <category>MLOps</category>
      <category>Performance Evaluation</category>
      <category>ElasticSearch</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Observability</category>
      <category>QCon AI Boston 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 05 Oct 2026 11:19:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/elastic-ai-agent-evaluations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Susan Chang</dc:creator>
      <dc:date>2026-10-05T11:19:00Z</dc:date>
      <dc:identifier>/presentations/elastic-ai-agent-evaluations/en</dc:identifier>
    </item>
    <item>
      <title>Article: The Platform Engineering Playbook for Production LLMs</title>
      <link>https://www.infoq.com/articles/platform-engineering-playbook-production-llms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/articles/platform-engineering-playbook-production-llms/en/headerimage/platform-engineering-playbook-production-llms-header-1790763235683.jpg"/&gt;&lt;p&gt;In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one. He makes a case for a shared LLM platform with common services like prompt registry &amp; versioning, schema enforcement and token cost attribution by request.&lt;/p&gt; &lt;i&gt;By Aditya Mulik&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Agentic AI Architecture</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Mon, 05 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/platform-engineering-playbook-production-llms/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Aditya Mulik</dc:creator>
      <dc:date>2026-10-05T11:00:00Z</dc:date>
      <dc:identifier>/articles/platform-engineering-playbook-production-llms/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Future Cybersecurity: Hardware Memory Safety, Automated Governance and Post-Quantum Cryptography</title>
      <link>https://www.infoq.com/podcasts/future-cybersecurity-hardware-memory-safety/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/future-cybersecurity-hardware-memory-safety/en/smallimage/infoq-podcast-500-1790672981256.jpg"/&gt;&lt;p&gt;In this episode, Chris Swan, engineer at Atsign and security track host at QCon London, reflects on the ideas shared during QCon London 2026 and teases topics of the future edition. The discussion explores how security engineering is shifting from relying on human vigilance toward automated, system-level defences across the entire application stack.&lt;/p&gt; &lt;i&gt;By Chris Swan&lt;/i&gt;</description>
      <category>Hardware</category>
      <category>Large language models</category>
      <category>Security</category>
      <category>The InfoQ Podcast</category>
      <category>DevOps</category>
      <category>podcast</category>
      <pubDate>Mon, 05 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/future-cybersecurity-hardware-memory-safety/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Chris Swan</dc:creator>
      <dc:date>2026-10-05T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/future-cybersecurity-hardware-memory-safety/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Building GenAI Platform at DoorDash</title>
      <link>https://www.infoq.com/presentations/doordash-genai-platform-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/presentations/doordash-genai-platform-architecture/en/mediumimage/SiddharthKodwaniSwaroopChitlur-medium-1790246592519.jpg"/&gt;&lt;p&gt;Swaroop Chitlur and Sidd Kodwani share DoorDash’s journey building an internal GenAI platform. They discuss core architectural bets, transitioning from vendor-first setups to open-weights models, navigating LLM and agent gateways, and balancing accuracy, latency, and cost for over 5,000 internal users.&lt;/p&gt; &lt;i&gt;By Siddharth Kodwani, Swaroop Chitlur&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>Machine Learning</category>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>QCon AI Boston 2026</category>
      <category>Infrastructure</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 03 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/doordash-genai-platform-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Siddharth Kodwani, Swaroop Chitlur</dc:creator>
      <dc:date>2026-10-03T11:00:00Z</dc:date>
      <dc:identifier>/presentations/doordash-genai-platform-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Managing Asynchronous APIs at Scale</title>
      <link>https://www.infoq.com/presentations/managing-async-apis/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/presentations/managing-async-apis/en/mediumimage/ian-cooper-medium-1790242149604.jpeg"/&gt;&lt;p&gt;Ian Cooper discusses managing asynchronous APIs in event-driven architectures at scale. He explains the "ABCs" of messaging (Address, Binding, Contract) and shares how to tackle discovery, governance, and provisioning using AsyncAPI, CloudEvents, schema registries, and automated CI/CD infrastructure pipelines based on real-world engineering practices at Just Eat Takeaway.&lt;/p&gt; &lt;i&gt;By Ian Cooper&lt;/i&gt;</description>
      <category>Infrastructure as Code</category>
      <category>Governance</category>
      <category>AsyncAPI</category>
      <category>QCon London 2026</category>
      <category>Transcripts</category>
      <category>API</category>
      <category>Event Driven Architecture</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 02 Oct 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/managing-async-apis/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Ian Cooper</dc:creator>
      <dc:date>2026-10-02T11:00:00Z</dc:date>
      <dc:identifier>/presentations/managing-async-apis/en</dc:identifier>
    </item>
    <item>
      <title>Article: From Reusable to Regeneratable: Rethinking the Shared UI Component Library</title>
      <link>https://www.infoq.com/articles/regeneratable-ui-component-library/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</link>
      <description>&lt;img src="https://res.infoq.com/articles/regeneratable-ui-component-library/en/headerimage/regeneratable-ui-component-library-header-1790758478325.jpg"/&gt;&lt;p&gt;Regeneration has changed reuse economics. A model pointed at a solid design system can produce most standard UI on demand, so paying to keep a canonical component package alive is much harder to justify than it used to be. Keep the design system, tokens, guidelines and tests central. They are what actually buy you consistency.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>Web Development</category>
      <category>User Interface</category>
      <category>Web Components</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 02 Oct 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/regeneratable-ui-component-library/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Programming</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-10-02T09:00:00Z</dc:date>
      <dc:identifier>/articles/regeneratable-ui-component-library/en</dc:identifier>
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