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    <title>InfoQ - Transcripts</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Transcripts feed</description>
    <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=Transcripts</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>WebAssembly</category>
      <category>P2P</category>
      <category>CRDT</category>
      <category>QCon London 2026</category>
      <category>Local First</category>
      <category>Actor Model</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>Development</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=Transcripts</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>
    </item>
    <item>
      <title>Presentation: Designing Fast, Delightful UX With LLMs for Mobile Frontends</title>
      <link>https://www.infoq.com/presentations/llm-mobile-frontend/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/llm-mobile-frontend/en/mediumimage/bala-medium-1789631604448.jpeg"/&gt;&lt;p&gt;Balakrishnan Ramdoss discusses how to architect production-grade, AI-powered conversational apps at scale. He explains how to overcome model latency, leverage server-driven UI and Backend-for-Frontend patterns to dynamically render multi-modal interfaces, optimize prompts for UI selection, and integrate low-latency, privacy-first on-device AI for mobile applications.&lt;/p&gt; &lt;i&gt;By Balakrishnan Ramdoss&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>QCon San Francisco 2025</category>
      <category>Mobile</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 24 Sep 2026 09:24:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/llm-mobile-frontend/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Balakrishnan Ramdoss</dc:creator>
      <dc:date>2026-09-24T09:24:00Z</dc:date>
      <dc:identifier>/presentations/llm-mobile-frontend/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: APIs for Agents: Rethinking API Programs in the MCP Era</title>
      <link>https://www.infoq.com/presentations/mcp-calm-api-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/mcp-calm-api-architecture/en/mediumimage/jim-gough-andreea-niculcea-medium-1789021410351.jpg"/&gt;&lt;p&gt;Jim Gough and Andreea Niculcea explain how Morgan Stanley uses Architecture as Code with CALM to modernize its API program. They demonstrate integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) communications, enforcing automated governance through deployment gates, and executing zero-downtime platform upgrades to safely scale enterprise AI and agentic workflows.&lt;/p&gt; &lt;i&gt;By Jim Gough, Andreea Niculcea&lt;/i&gt;</description>
      <category>Enterprise Architecture</category>
      <category>QCon London 2026</category>
      <category>Deployment</category>
      <category>Platform Engineering</category>
      <category>Compliance</category>
      <category>API</category>
      <category>Agent2Agent</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Governance</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 23 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/mcp-calm-api-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Jim Gough, Andreea Niculcea</dc:creator>
      <dc:date>2026-09-23T11:00:00Z</dc:date>
      <dc:identifier>/presentations/mcp-calm-api-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Maximizing Success with Limited Time, Resources, and Energy: Lessons from Startup Engineering</title>
      <link>https://www.infoq.com/presentations/lessons-startup-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/lessons-startup-engineering/en/mediumimage/david-medium-1789631290867.jpeg"/&gt;&lt;p&gt;David Gudeman discusses battle-tested architectural patterns for resource-constrained engineering teams. Drawing from over a decade of startup experience, he explains how pairing GCP, Firebase, and Cloud Run accelerates product-market fit. Learn how to eliminate redundant frontend state, structure event-driven backends, and maintain lean DevOps while building for long-term scalability.&lt;/p&gt; &lt;i&gt;By David Gudeman&lt;/i&gt;</description>
      <category>Best Practices</category>
      <category>QCon San Francisco 2025</category>
      <category>Startup</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 22 Sep 2026 09:04:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/lessons-startup-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>David Gudeman</dc:creator>
      <dc:date>2026-09-22T09:04:00Z</dc:date>
      <dc:identifier>/presentations/lessons-startup-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents</title>
      <link>https://www.infoq.com/presentations/ai-agent-harness/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-agent-harness/en/mediumimage/vino-medium-1789631870270.jpeg"/&gt;&lt;p&gt;OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he explains the key principles of reliable agent harnesses: establishing explicit state ownership, serializing concurrent state mutations, scoping execution authority, and validating actions at the user-visible edge.&lt;/p&gt; &lt;i&gt;By Vinoth Govindarajan&lt;/i&gt;</description>
      <category>AI Harness</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>Transcripts</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 21 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-agent-harness/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Vinoth Govindarajan</dc:creator>
      <dc:date>2026-09-21T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-agent-harness/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP</title>
      <link>https://www.infoq.com/presentations/linkedin-context-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/linkedin-context-engineering/en/mediumimage/ajay-prakash-medium-1789021803159.jpg"/&gt;&lt;p&gt;Ajay Prakash discusses how LinkedIn overcomes AI agent limitations in large codebases. He explains Contextual Agent Playbooks and Tools - built on Model Context Protocol (MCP) - which serves procedural memory, code search, and runbooks directly to coding agents. Prakash shares architectural details and operational guardrails that deliver a 20% productivity boost with zero loss in reliability.&lt;/p&gt; &lt;i&gt;By Ajay Prakash&lt;/i&gt;</description>
      <category>LinkedIn</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Productivity</category>
      <category>AI Architecture</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 19 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/linkedin-context-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Ajay Prakash</dc:creator>
      <dc:date>2026-09-19T11:00:00Z</dc:date>
      <dc:identifier>/presentations/linkedin-context-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Complexity and Creativity in Software Engineering</title>
      <link>https://www.infoq.com/presentations/ai-software-engineering-complexity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/ai-software-engineering-complexity/en/mediumimage/philip-mortimer-medium-1789021228203.jpeg"/&gt;&lt;p&gt;Phillip Mortimer discusses the shift toward write-only software driven by AI code generation. He explains why traditional pull requests are broken and shares how engineering leaders can manage complexity by decoupling intent from implementation, automating code reviews, and building self-healing architecture to unleash developer creativity across senior engineering and architecture teams.&lt;/p&gt; &lt;i&gt;By Phillip Mortimer&lt;/i&gt;</description>
      <category>QCon London 2026</category>
      <category>Testing</category>
      <category>AI Assisted Coding</category>
      <category>Management</category>
      <category>Code Quality</category>
      <category>Leadership</category>
      <category>Productivity</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 18 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-software-engineering-complexity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Phillip Mortimer</dc:creator>
      <dc:date>2026-09-18T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-software-engineering-complexity/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: When Incidents Refuse to End</title>
      <link>https://www.infoq.com/presentations/stream-incidents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/stream-incidents/en/mediumimage/vanessa-huerta-medium-1789021024982.jpeg"/&gt;&lt;p&gt;Vanessa Huerta Granda explains how marathon incidents expose the gap between work as imagined and work as done. Drawing from real-world scenarios, she shares how complex outages reveal organizational fragility, human limits, and system interdependencies—and why incident response requires structured endurance, humane rotations, and holistic cross-functional coordination.&lt;/p&gt; &lt;i&gt;By Vanessa Huerta Granda&lt;/i&gt;</description>
      <category>QCon San Francisco 2026</category>
      <category>Incident Response</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Thu, 17 Sep 2026 09:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/stream-incidents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Vanessa Huerta Granda</dc:creator>
      <dc:date>2026-09-17T09:30:00Z</dc:date>
      <dc:identifier>/presentations/stream-incidents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review</title>
      <link>https://www.infoq.com/presentations/duolingo-ai-literacy-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/duolingo-ai-literacy-code-review/en/mediumimage/sarah-deitke-medium-1788338781338.jpeg"/&gt;&lt;p&gt;Sarah Deitke discusses how Duolingo drives cultural AI adoption beyond tooling access. She explains their internal AI literacy workshops and observability dashboards, then shares a case study on redesigning code review using an automated PR risk-assessment bot. Deitke demonstrates how pairing targeted developer education with safe AI guardrails speeds up delivery without increasing defect rates.&lt;/p&gt; &lt;i&gt;By Sarah Deitke&lt;/i&gt;</description>
      <category>Developer Experience</category>
      <category>QCon London 2026</category>
      <category>Culture</category>
      <category>Adoption</category>
      <category>Automation</category>
      <category>Metrics</category>
      <category>Code Reviews</category>
      <category>Artificial Intelligence</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Wed, 16 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/duolingo-ai-literacy-code-review/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Sarah Deitke</dc:creator>
      <dc:date>2026-09-16T11:00:00Z</dc:date>
      <dc:identifier>/presentations/duolingo-ai-literacy-code-review/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Lead without a Ladder: How I Climbed into Engineering Leadership</title>
      <link>https://www.infoq.com/presentations/engineering-leadership/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</link>
      <description>&lt;img src="https://res.infoq.com/presentations/engineering-leadership/en/mediumimage/pauline-jepp-medium-1789020823444.jpeg"/&gt;&lt;p&gt;Pauline Jepp explains how systems thinking, rock climbing, and flocking behaviors apply to engineering leadership. She shares strategies for balancing team autonomy with alignment, supporting invisible work like mentorship, and navigating transitions from hands-on engineer to engineering leader while maintaining organizational trust and psychological safety.&lt;/p&gt; &lt;i&gt;By Pauline Jepp&lt;/i&gt;</description>
      <category>Chief Engineer</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Careers</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 15 Sep 2026 09:10:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/engineering-leadership/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Transcripts</guid>
      <dc:creator>Pauline Jepp</dc:creator>
      <dc:date>2026-09-15T09:10:00Z</dc:date>
      <dc:identifier>/presentations/engineering-leadership/en</dc:identifier>
    </item>
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