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    <title>InfoQ - InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ InfoQ feed</description>
    <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=InfoQ</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>Large language models</category>
      <category>Machine Learning</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>Infrastructure</category>
      <category>Architecture</category>
      <category>QCon AI Boston 2026</category>
      <category>Developer Experience</category>
      <category>Generative AI</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</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=InfoQ</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=InfoQ</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>Transcripts</category>
      <category>AsyncAPI</category>
      <category>Event Driven Architecture</category>
      <category>Governance</category>
      <category>API</category>
      <category>QCon London 2026</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</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=InfoQ</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>Presentation: Beyond Observability: Evolving Production Operations in the Age of AI</title>
      <link>https://www.infoq.com/presentations/ai-production-operations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-production-operations/en/mediumimage/infoq-live-medium-1790856304338.jpg"/&gt;&lt;p&gt;The panelists discuss how production operations are evolving with AI, turning operational data into actionable insights for incident response. They explain how automation and new architectural practices help engineering teams build more understandable systems, while exploring how AI reshapes software delivery and changes the historically deterministic nature of production applications.&lt;/p&gt; &lt;i&gt;By Michael Hausenblas, Sujana Sooreddy, Noam Levi, Renato Losio&lt;/i&gt;</description>
      <category>Incident Response</category>
      <category>AIOps</category>
      <category>InfoQ Live - September 2026</category>
      <category>Observability</category>
      <category>Automation</category>
      <category>Transcripts</category>
      <category>InfoQ Live</category>
      <category>Architecture</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Thu, 01 Oct 2026 12:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-production-operations/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Michael Hausenblas, Sujana Sooreddy, Noam Levi, Renato Losio</dc:creator>
      <dc:date>2026-10-01T12:30:00Z</dc:date>
      <dc:identifier>/presentations/ai-production-operations/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Keeping the Mainline Green across Diverse Language Monorepos</title>
      <link>https://www.infoq.com/presentations/mergequeue/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/presentations/mergequeue/en/mediumimage/dhruva-juloori-medium-1790247259869.jpeg"/&gt;&lt;p&gt;Dhruva Juloori discusses how Uber maintains green mainlines across massive monorepos handling 65,000+ monthly changes. He explains how SubmitQueue uses binary speculation trees, conflict analysis, and machine learning models to predict build success and execution times. Juloori shares how bypassing large diffs slashed CI resource usage by 53% while accelerating PR landing times by 37%.&lt;/p&gt; &lt;i&gt;By Dhruva Juloori&lt;/i&gt;</description>
      <category>Transcripts</category>
      <category>Continuous Integration</category>
      <category>QCon San Francisco 2025</category>
      <category>Uber</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 01 Oct 2026 09:33:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/mergequeue/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Dhruva Juloori</dc:creator>
      <dc:date>2026-10-01T09:33:00Z</dc:date>
      <dc:identifier>/presentations/mergequeue/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Context is the New Code</title>
      <link>https://www.infoq.com/presentations/context-as-code-devops-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/presentations/context-as-code-devops-agents/en/mediumimage/patrick-medium-1789632704652.jpeg"/&gt;&lt;p&gt;Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding agents, maintain control over non-deterministic outputs, and build long-term organizational knowledge.&lt;/p&gt; &lt;i&gt;By Patrick Debois&lt;/i&gt;</description>
      <category>Performance Evaluation</category>
      <category>Software Development Lifecycle</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>Artificial Intelligence</category>
      <category>QCon London 2026</category>
      <category>Testing</category>
      <category>Monitoring</category>
      <category>Code Quality</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Wed, 30 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/context-as-code-devops-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Patrick Debois</dc:creator>
      <dc:date>2026-09-30T11:00:00Z</dc:date>
      <dc:identifier>/presentations/context-as-code-devops-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Staff Platform Engineer to a16z Founder: What I Wish I'd Known</title>
      <link>https://www.infoq.com/presentations/staff-founder-lessons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/presentations/staff-founder-lessons/en/mediumimage/GonzaloGloMaldonado-medium-1790247060435.jpg"/&gt;&lt;p&gt;Gonzalo Maldonado explains how technical leaders can translate engineering skills into startup success using their "VC Abstraction Layer Knowledge" (VALK). They share hard-won lessons on finding product-market fit, structuring pitches like technical docs, avoiding co-founder drama, and evaluating internal platforms as commercial ventures in a post-ZIRP environment.&lt;/p&gt; &lt;i&gt;By Gonzalo Maldonado&lt;/i&gt;</description>
      <category>Best Practices</category>
      <category>Transcripts</category>
      <category>QCon San Francisco 2025</category>
      <category>Staff Plus</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 29 Sep 2026 09:14:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/staff-founder-lessons/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Gonzalo Maldonado</dc:creator>
      <dc:date>2026-09-29T09:14:00Z</dc:date>
      <dc:identifier>/presentations/staff-founder-lessons/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: The AI Revolution Fails without Psychological Safety for Developers: a Conversation with Erin Doyle</title>
      <link>https://www.infoq.com/podcasts/ai-revolution-psychological-safety/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/ai-revolution-psychological-safety/en/smallimage/infoq-podcast-500-1790150533970.jpg"/&gt;&lt;p&gt;In this podcast, Michael Stiefel spoke to Erin Doyle about how artificial intelligence tools are transforming the software development process, and how they are affecting software engineers. Architecture skills are now critical because engineers need to understand how to build systems and handle the constraints and associated ambiguity in the requirements.&lt;/p&gt; &lt;i&gt;By Erin Doyle&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>Software Development Lifecycle</category>
      <category>Architecture</category>
      <category>Artificial Intelligence</category>
      <category>Psychological Safety</category>
      <category>Software Engineering Education</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 28 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/ai-revolution-psychological-safety/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Erin Doyle</dc:creator>
      <dc:date>2026-09-28T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/ai-revolution-psychological-safety/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Consumers to Builders: Turning 200 of our Team into Agent Creators in Two Weeks</title>
      <link>https://www.infoq.com/presentations/building-internal-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/presentations/building-internal-ai-agents/en/mediumimage/medium-1790246283432.jpeg"/&gt;&lt;p&gt;Ben Maraney shares how Forter demystified AI agent creation for technical and non-technical staff. He discusses leveraging custom MCP servers, combining no-code and code-based platforms, sidestepping complex RAG setups, and aligning security and legal teams to accelerate internal agent adoption across R&amp;D.&lt;/p&gt; &lt;i&gt;By Ben Maraney&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Agents</category>
      <category>Transcripts</category>
      <category>Governance</category>
      <category>Productivity</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Security</category>
      <category>Compliance</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Mon, 28 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/building-internal-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Ben Maraney</dc:creator>
      <dc:date>2026-09-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/building-internal-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Adaptive Recommenders in the Real World: Inference, Evals, and System Design</title>
      <link>https://www.infoq.com/presentations/adaptive-recommendation-systems-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/presentations/adaptive-recommendation-systems-architecture/en/mediumimage/mallika-medium-1789632229433.jpeg"/&gt;&lt;p&gt;Mallika Rao explains that the true complexity of adaptive recommendation systems lies outside model architecture. She discusses how real-time feedback loops, retrieval freshness, multi-stage orchestration, and end-to-end latency budgeting enable systems to continuously learn and evolve in production under real-world operational constraints like latency, cost, and observability.&lt;/p&gt; &lt;i&gt;By Mallika Rao&lt;/i&gt;</description>
      <category>Data</category>
      <category>Observability</category>
      <category>Machine Learning</category>
      <category>Transcripts</category>
      <category>Performance</category>
      <category>QCon AI Boston 2026</category>
      <category>Scaling</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Sat, 26 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/adaptive-recommendation-systems-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Mallika Rao</dc:creator>
      <dc:date>2026-09-26T11:00:00Z</dc:date>
      <dc:identifier>/presentations/adaptive-recommendation-systems-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: The Future of AI: from Enterprise Adoption to Open Source Sovereignty</title>
      <link>https://www.infoq.com/podcasts/enterprise-adoption-open-source-sovereignty/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/enterprise-adoption-open-source-sovereignty/en/smallimage/infoq-podcast-500-1787827393574.jpg"/&gt;&lt;p&gt;In this episode, Meryem Arik, Clara Higuera Cabañes, and Jeff Smith demystify the current state of AI in the enterprise. The discussion navigates the "industrial revolution" moment in AI adoption, exploring why companies are rushing toward these technologies to maintain competitive advantages while grappling with reliability, ethical considerations, and the evolving role of software engineering.&lt;/p&gt; &lt;i&gt;By Meryem Arik, Clara Higuera Cabañes, Jeff Smith&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>The InfoQ Podcast</category>
      <category>Responsibility</category>
      <category>Artificial Intelligence</category>
      <category>Generative AI</category>
      <category>Open Source</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Fri, 25 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/enterprise-adoption-open-source-sovereignty/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Meryem Arik, Clara Higuera Cabañes, Jeff Smith</dc:creator>
      <dc:date>2026-09-25T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/enterprise-adoption-open-source-sovereignty/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Spritely: Infrastructure for the Future of the Internet</title>
      <link>https://www.infoq.com/presentations/spritely-decentralized-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</link>
      <description>&lt;img src="https://res.infoq.com/presentations/spritely-decentralized-architecture/en/mediumimage/cd-medium-1789633126216.jpg"/&gt;&lt;p&gt;Christine Lemmer-Webber and David Thompson explain how Spritely's architecture solves core decentralization challenges. They share insights on capability-based access control with Goblins, actor-model communication via OCapN, and petname systems. Discover how Spritely leverages Scheme, WebAssembly (Hoot), and local-first CRDTs to build secure, peer-to-peer applications without central servers.&lt;/p&gt; &lt;i&gt;By Christine Lemmer-Webber, David Thompson&lt;/i&gt;</description>
      <category>CRDT</category>
      <category>P2P</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>QCon London 2026</category>
      <category>WebAssembly</category>
      <category>Local First</category>
      <category>Actor Model</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Fri, 25 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/spritely-decentralized-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Christine Lemmer-Webber, David Thompson</dc:creator>
      <dc:date>2026-09-25T11:00:00Z</dc:date>
      <dc:identifier>/presentations/spritely-decentralized-architecture/en</dc:identifier>
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