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    <title>InfoQ - InfoQ</title>
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    <description>InfoQ InfoQ feed</description>
    <item>
      <title>Presentation: Turning Outward: Growing From Code to Influence</title>
      <link>https://www.infoq.com/presentations/working-across-teams/?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/working-across-teams/en/mediumimage/BradGrantham-medium-1786538733504.jpg"/&gt;&lt;p&gt;Brad Grantham discusses how software engineers and architects can transition from individual contributors to influential technical leaders. Brad shares actionable insights on expanding skills into business and legal domains, adapting communication styles for non-technical stakeholders, moving past ego to empower teams, and navigating complex organizational dynamics to maximize engineering impact.&lt;/p&gt; &lt;i&gt;By Brad Grantham&lt;/i&gt;</description>
      <category>Collaboration</category>
      <category>Teamwork</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>presentation</category>
      <pubDate>Tue, 18 Aug 2026 12:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/working-across-teams/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Brad Grantham</dc:creator>
      <dc:date>2026-08-18T12:31:00Z</dc:date>
      <dc:identifier>/presentations/working-across-teams/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Will Agentic AI Bring Fantasia’s Sorcerer's Apprentice to Life?: A Conversation with Tracy Bannon</title>
      <link>https://www.infoq.com/podcasts/agentic-ai-sorcerers-apprentice/?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/agentic-ai-sorcerers-apprentice/en/smallimage/infoq-podcast-500-1787058367301.jpg"/&gt;&lt;p&gt;In this podcast, Michael Stiefel spoke to Tracy Bannon about the role of artificial intelligence in software and the attendant risks in the areas of security, software development, and society at large. While it might be reasonable to assume a certain amount of trust within a software ecosystem, the risks escalate when the boundary between two software ecosystems is crossed.&lt;/p&gt; &lt;i&gt;By Tracy Bannon&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>The InfoQ Podcast</category>
      <category>Large language models</category>
      <category>Software Development Lifecycle</category>
      <category>Architecture</category>
      <category>Security</category>
      <category>Architecture &amp; Design</category>
      <category>podcast</category>
      <pubDate>Mon, 17 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/agentic-ai-sorcerers-apprentice/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Tracy Bannon</dc:creator>
      <dc:date>2026-08-17T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/agentic-ai-sorcerers-apprentice/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Thousands to One: Building LLM-Powered Selection Systems</title>
      <link>https://www.infoq.com/presentations/architecture-patterns-llm/?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/architecture-patterns-llm/en/mediumimage/JendrikJordening-medium-1786535626643.jpeg"/&gt;&lt;p&gt;Jendrik Jördening shares practical engineering strategies for integrating LLMs into production pipelines. He discusses overcoming non-determinism, restricting schemas, separating semantic text extraction from deterministic code, and validating choices using discriminator models. Learn how to structure LLMs with an MVC approach to ensure database integrity, observability, and system reliability.&lt;/p&gt; &lt;i&gt;By Jendrik Jördening&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Patterns</category>
      <category>Large language models</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 17 Aug 2026 09:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/architecture-patterns-llm/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Jendrik Jördening</dc:creator>
      <dc:date>2026-08-17T09:06:00Z</dc:date>
      <dc:identifier>/presentations/architecture-patterns-llm/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash</title>
      <link>https://www.infoq.com/presentations/ai-agentic-recommendations-semantic-ids/?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-agentic-recommendations-semantic-ids/en/mediumimage/sudeep-das-medium-1785845550765.jpeg"/&gt;&lt;p&gt;Sudeep Das shares how DoorDash shifts from legacy one-shot predictions to an agentic recommendation platform. He discusses leveraging language-native consumer memory, RQ-VAE semantic IDs for catalog representation, and grounded search to dramatically boost relevance and conversion metrics.&lt;/p&gt; &lt;i&gt;By Sudeep Das&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>Rankings</category>
      <category>Agentic AI Architecture</category>
      <category>E-Commerce</category>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>vector databases</category>
      <category>Search</category>
      <category>Machine Learning</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 15 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-agentic-recommendations-semantic-ids/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Sudeep Das</dc:creator>
      <dc:date>2026-08-15T11:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-agentic-recommendations-semantic-ids/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Right 300 Tokens Beat 100k Noisy Ones: The Architecture of Context Engineering</title>
      <link>https://www.infoq.com/presentations/architecture-context-engineering/?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/architecture-context-engineering/en/mediumimage/partick-baruch-medium-1786008501700.jpg"/&gt;&lt;p&gt;Baruch Sadogursky and Patrick Debois discuss why coding agents fail due to bloated context windows and stuffed prompts. They explain practical context engineering fixes, including lazy-loaded skills, versioned context artifacts, externalized memory banks, and LLM-as-a-judge evals. Software architects &amp; engineering leaders will learn how to turn raw markdown files into reliable agentic workflows.&lt;/p&gt; &lt;i&gt;By Patrick Debois, Baruch Sadogursky&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Development</category>
      <category>Large language models</category>
      <category>Claude</category>
      <category>AI Coding</category>
      <category>QCon London 2026</category>
      <category>Prompt Engineering</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Fri, 14 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/architecture-context-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Patrick Debois, Baruch Sadogursky</dc:creator>
      <dc:date>2026-08-14T11:00:00Z</dc:date>
      <dc:identifier>/presentations/architecture-context-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Founders, Friction, and Focus: Building Engineering Teams at Early-Stage Startups</title>
      <link>https://www.infoq.com/podcasts/building-engineering-teams-early-stage-startups/?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/building-engineering-teams-early-stage-startups/en/smallimage/engineering-culture-podcast-thumbnail-1786109915926.jpg"/&gt;&lt;p&gt;In this podcast, Shane Hastie, Lead Editor for Culture &amp; Methods, spoke to David Gudeman about the unique culture of early-stage startup engineering, how founder personality quirks and premature process impositions can derail teams, and how engineers can build influence and make deliberate career choices without formal power.&lt;/p&gt; &lt;i&gt;By David Gudeman&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>Engineering Culture Podcast</category>
      <category>Psychological Safety</category>
      <category>Teamwork</category>
      <category>Management</category>
      <category>Startup</category>
      <category>Careers</category>
      <category>Agile</category>
      <category>Scrum</category>
      <category>Trust</category>
      <category>Culture &amp; Methods</category>
      <category>podcast</category>
      <pubDate>Fri, 14 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/building-engineering-teams-early-stage-startups/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>David Gudeman</dc:creator>
      <dc:date>2026-08-14T09:00:00Z</dc:date>
      <dc:identifier>/podcasts/building-engineering-teams-early-stage-startups/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Migrating Uber Eats Feeds to Webview</title>
      <link>https://www.infoq.com/presentations/migration-mobile-application/?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/migration-mobile-application/en/mediumimage/nickdistefano-medium-1785845098133.jpg"/&gt;&lt;p&gt;Nick DiStefano shares how Uber Eats migrated from traditional native app screens to a native-driven, single-page WebView architecture. He explains key strategies for engineering leaders and software architects looking to bypass native release cycles, manage cross-platform state, build generic native-web message bridges, and execute large-scale UI migrations without degrading metrics.&lt;/p&gt; &lt;i&gt;By Nick DiStefano&lt;/i&gt;</description>
      <category>Mobile</category>
      <category>iOS</category>
      <category>Android</category>
      <category>QCon San Francisco 2025</category>
      <category>migration</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 13 Aug 2026 09:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/migration-mobile-application/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Nick DiStefano</dc:creator>
      <dc:date>2026-08-13T09:26:00Z</dc:date>
      <dc:identifier>/presentations/migration-mobile-application/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Cloud and DevOps InfoQ Trends Report 2026: AI, Resilience, Platforms, FinOps, and Sovereignty</title>
      <link>https://www.infoq.com/podcasts/cloud-devops-trends-2026/?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/cloud-devops-trends-2026/en/headerimage/cloud-devops-trends-report-2026-graph-header-1786096703677.jpg"/&gt;&lt;p&gt;In this episode of the podcast, members of the InfoQ editorial staff and friends of InfoQ will discuss current trends in the cloud and DevOps domains as part of our annual trends report. These reports provide InfoQ readers with a high-level overview of key topics to watch. This podcast offers a chance to hear our raw conversation and the stories shared by our expert practitioners.&lt;/p&gt; &lt;i&gt;By Daniel Bryant, Matt Saunders, Shweta Vohra, Steef-Jan Wiggers, Mark Silvester, Renato Losio&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>InfoQ Trends Report 2026</category>
      <category>The InfoQ Podcast</category>
      <category>Sovereignty</category>
      <category>Cloud Architecture</category>
      <category>Resilience</category>
      <category>Cloud</category>
      <category>FinOps</category>
      <category>InfoQ Trends Report</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>podcast</category>
      <pubDate>Wed, 12 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/cloud-devops-trends-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Daniel Bryant, Matt Saunders, Shweta Vohra, Steef-Jan Wiggers, Mark Silvester, Renato Losio</dc:creator>
      <dc:date>2026-08-12T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/cloud-devops-trends-2026/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Adopting Memory-Safety and Fine-Grained Compartmentalisation with CHERI</title>
      <link>https://www.infoq.com/presentations/cheri-memory-safety-compartmentalization/?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/cheri-memory-safety-compartmentalization/en/mediumimage/DavidChisnall-medium-1785845255636.jpg"/&gt;&lt;p&gt;David Chisnall discusses how the CHERI hardware architecture redefines pointer safety to solve isolation and sharing challenges. He explains how CHERI enables spatial and temporal memory safety for C/C++, scales down to microcontrollers with CHERIoT, and replaces costly OS-level RPC mechanisms with lightweight, auditable compartmentalization - all without requiring massive codebase rewrites.&lt;/p&gt; &lt;i&gt;By David Chisnall&lt;/i&gt;</description>
      <category>Memory</category>
      <category>Hardware</category>
      <category>C++</category>
      <category>QCon London 2026</category>
      <category>Risk Management</category>
      <category>Performance</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Wed, 12 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/cheri-memory-safety-compartmentalization/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>David Chisnall</dc:creator>
      <dc:date>2026-08-12T11:00:00Z</dc:date>
      <dc:identifier>/presentations/cheri-memory-safety-compartmentalization/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Producing the World's Cheapest Tokens: A How-to Guide</title>
      <link>https://www.infoq.com/presentations/ai-token-price/?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-token-price/en/mediumimage/meryem-arik-medium-1785844873071.jpg"/&gt;&lt;p&gt;Meryem Arik discusses strategies for designing low-cost LLM inference architectures for high-volume, non-real-time workloads. She explains how software architects and engineering leaders can achieve order-of-magnitude cost reductions by making critical trade-offs across hardware, inference runtimes, speculative decoding, and smart queue reordering.&lt;/p&gt; &lt;i&gt;By Meryem Arik&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>QCon San Francisco 2025</category>
      <category>Performance &amp; Scalability</category>
      <category>Platform Engineering</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Tue, 11 Aug 2026 10:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-token-price/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Meryem Arik</dc:creator>
      <dc:date>2026-08-11T10:05:00Z</dc:date>
      <dc:identifier>/presentations/ai-token-price/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Leveraging Adversary Emulation for GenAI Red Teaming</title>
      <link>https://www.infoq.com/presentations/emulation-genai/?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/emulation-genai/en/mediumimage/KennedyTorkura-medium-1785396173788.jpeg"/&gt;&lt;p&gt;Kennedy Torkura discusses practical GenAI red teaming techniques to safeguard LLMs and knowledge bases against security threats like data poisoning and LLMjacking on AWS. He explains how engineering leaders and architects can bridge traditional cloud security with MITRE ATLAS frameworks to proactively identify vulnerabilities, implement guardrails, and secure production AI applications.&lt;/p&gt; &lt;i&gt;By Kennedy Torkura&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>InfoQ Dev Summit Munich 2025</category>
      <category>Security</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Mon, 10 Aug 2026 09:32:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/emulation-genai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Kennedy Torkura</dc:creator>
      <dc:date>2026-08-10T09:32:00Z</dc:date>
      <dc:identifier>/presentations/emulation-genai/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Keeping ChatGPT Fast as AI Development Accelerates</title>
      <link>https://www.infoq.com/presentations/openai-performance-engineering-agentic-coding/?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/openai-performance-engineering-agentic-coding/en/mediumimage/MartinSpier-medium-1785314358072.jpeg"/&gt;&lt;p&gt;Martin Spier explains how agentic workflows dramatically increase code change volume at OpenAI. He discusses the hidden systemic performance costs of rapid shipping beyond GPUs, and shares how deploying always-on AI agents automates profiling, regression detection, and continuous optimization to maintain product speed and scalability at massive global scale.&lt;/p&gt; &lt;i&gt;By Martin Spier&lt;/i&gt;</description>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Workflow / BPM</category>
      <category>ChatGPT</category>
      <category>OpenAI</category>
      <category>Performance &amp; Scalability</category>
      <category>Observability</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Sat, 08 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/openai-performance-engineering-agentic-coding/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=InfoQ</guid>
      <dc:creator>Martin Spier</dc:creator>
      <dc:date>2026-08-08T09:00:00Z</dc:date>
      <dc:identifier>/presentations/openai-performance-engineering-agentic-coding/en</dc:identifier>
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