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    <title>InfoQ - Architecture - Presentations</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ Architecture Presentations feed</description>
    <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=Architecture-presentations</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=Architecture-presentations</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=Architecture-presentations</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=Architecture-presentations</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: Decision Models in Agentic Architectures: from Production to Agent Skills</title>
      <link>https://www.infoq.com/presentations/decision-models-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/decision-models-agentic-ai/en/mediumimage/alex-porcelli-medium-1789021621084.jpeg"/&gt;&lt;p&gt;Alex Porcelli discusses the critical gap in enterprise AI: non-deterministic output and lack of accountability in high-stakes decisions. He shares how integrating DMN decision models with LLMs, agent skills, and NeMo guardrails creates auditable, deterministic agentic architectures - allowing business leaders to own decision logic while engineers maintain robust architectural governance.&lt;/p&gt; &lt;i&gt;By Alex Porcelli&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Governance</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 14 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/decision-models-agentic-ai/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture-presentations</guid>
      <dc:creator>Alex Porcelli</dc:creator>
      <dc:date>2026-09-14T11:00:00Z</dc:date>
      <dc:identifier>/presentations/decision-models-agentic-ai/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From Retrieval to Reasoning: Building Production-Ready Agentic AI Systems with Knowledge Graphs</title>
      <link>https://www.infoq.com/presentations/knowledge-graphs-agentic-systems-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/knowledge-graphs-agentic-systems-patterns/en/mediumimage/cassie-shum-medium-1788338916792.jpeg"/&gt;&lt;p&gt;Cassie Shum discusses why knowledge graphs serve as a critical foundation for agentic systems. Moving beyond basic RAG, she explains 4 practical architectural patterns: context bundling, decision provenance, code as truth, and agent visibility. She demonstrates an engineering harness built on a knowledge graph to streamline feedback loops, optimize token usage, and maintain system reliability.&lt;/p&gt; &lt;i&gt;By Cassie Shum&lt;/i&gt;</description>
      <category>Agentic AI Architecture</category>
      <category>Large language models</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Sat, 12 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/knowledge-graphs-agentic-systems-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture-presentations</guid>
      <dc:creator>Cassie Shum</dc:creator>
      <dc:date>2026-09-12T11:00:00Z</dc:date>
      <dc:identifier>/presentations/knowledge-graphs-agentic-systems-patterns/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: How to Run on Three Clouds at Once, and When Not to</title>
      <link>https://www.infoq.com/presentations/form3-multicloud-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/form3-multicloud-architecture/en/mediumimage/ross-mcfarlane-kevin-holditch-medium-1788338652847.jpg"/&gt;&lt;p&gt;Ross McFarlane and Kevin Holditch discuss Form3's evolution from a single-cloud setup to a triple active multi-cloud architecture. They share key engineering strategies for cross-cloud networking, distributed databases with CockroachDB and NATS, custom Kubernetes operators, and navigating distinct regional disaster recovery expectations across the UK, Europe, and US financial markets.&lt;/p&gt; &lt;i&gt;By Ross McFarlane, Kevin Holditch&lt;/i&gt;</description>
      <category>Resilience</category>
      <category>QCon London 2026</category>
      <category>Fintech</category>
      <category>Cloud</category>
      <category>CockroachDB</category>
      <category>AWS</category>
      <category>Microservices</category>
      <category>Kubernetes</category>
      <category>Availability</category>
      <category>Disaster Recovery</category>
      <category>Architecture</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 11 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/form3-multicloud-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture-presentations</guid>
      <dc:creator>Ross McFarlane, Kevin Holditch</dc:creator>
      <dc:date>2026-09-11T11:00:00Z</dc:date>
      <dc:identifier>/presentations/form3-multicloud-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Accelerating Performance by Incrementally Integrating Rust into Existing Codebase</title>
      <link>https://www.infoq.com/presentations/rust-refactoring/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture-presentations</link>
      <description>&lt;img src="https://res.infoq.com/presentations/rust-refactoring/en/mediumimage/lily-mara-medium-1788338447565.jpeg"/&gt;&lt;p&gt;Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.&lt;/p&gt; &lt;i&gt;By Lily Mara&lt;/i&gt;</description>
      <category>Refactoring</category>
      <category>QCon San Francisco 2025</category>
      <category>Rust</category>
      <category>Transcripts</category>
      <category>Culture &amp; Methods</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 10 Sep 2026 09:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/rust-refactoring/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Architecture-presentations</guid>
      <dc:creator>Lily Mara</dc:creator>
      <dc:date>2026-09-10T09:34:00Z</dc:date>
      <dc:identifier>/presentations/rust-refactoring/en</dc:identifier>
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