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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>shadcn Brings Conversational Primitives to shadcn/ui with New Chat Components</title>
      <link>https://www.infoq.com/news/2026/08/shadcn-conversational-primitives/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/shadcn-conversational-primitives/en/headerimage/generatedHeaderImage-1786954054004.jpg"/&gt;&lt;p&gt;Shadcn, a design engineer at Vercel, has introduced new components for chat interfaces within the shadcn/ui project. This release includes components like MessageScroller and Message, focusing on conversation functionality. The approach emphasizes modular design, allowing developers to adapt elements without affecting underlying logic or styles. Support for headless components is also provided.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>AI Development</category>
      <category>Web Development</category>
      <category>TypeScript</category>
      <category>React</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 11:01:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/shadcn-conversational-primitives/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Curtis</dc:creator>
      <dc:date>2026-08-17T11:01:00Z</dc:date>
      <dc:identifier>/news/2026/08/shadcn-conversational-primitives/en</dc:identifier>
    </item>
    <item>
      <title>Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules</title>
      <link>https://www.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/en/headerimage/header-1786428822427.jpg"/&gt;&lt;p&gt;Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy concerns—such as boundary fidelity, semantic contract drift, and stale ADR assumptions. Elevate evolutionary architecture governance with continuous, calibrated feedback loops.&lt;/p&gt; &lt;i&gt;By Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy&lt;/i&gt;</description>
      <category>Architecture ICSAET</category>
      <category>Evolutionary Architecture</category>
      <category>Architecture Decision Records</category>
      <category>InfoQ Certification Program</category>
      <category>Artificial Intelligence</category>
      <category>Governance</category>
      <category>Code Quality</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 17 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/agentic-fitness-functions-evolutionary-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy</dc:creator>
      <dc:date>2026-08-17T11:00:00Z</dc:date>
      <dc:identifier>/articles/agentic-fitness-functions-evolutionary-architecture/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=global</link>
      <description>&lt;img src="https://res.infoq.com/podcasts/agentic-ai-sorcerers-apprentice/en/smallimage/the-infoq-podcast-logo-thumbnail-1786438364920.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>Software Development Lifecycle</category>
      <category>Architecture</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>The InfoQ Podcast</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=global</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>Grafana's gcx and MCP Server Reach GA for Telemetry-Driven Agent Development</title>
      <link>https://www.infoq.com/news/2026/08/grafana-mcp-server-telemetry/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/grafana-mcp-server-telemetry/en/headerimage/generatedHeaderImage-1786612098902.jpg"/&gt;&lt;p&gt;Grafana Labs has announced general availability for two tools that let AI coding agents query live observability data during development: the gcx CLI and the Grafana MCP server. Both allow agents to pull metrics, logs, traces, SLOs, and Synthetic Monitoring results from Grafana Cloud or a self-hosted stack&lt;/p&gt; &lt;i&gt;By Claudio Masolo&lt;/i&gt;</description>
      <category>Grafana</category>
      <category>Agents</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 10:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/grafana-mcp-server-telemetry/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Claudio Masolo</dc:creator>
      <dc:date>2026-08-17T10:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/grafana-mcp-server-telemetry/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=global</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>InfoQ Dev Summit Munich 2025</category>
      <category>Large language models</category>
      <category>AI Architecture</category>
      <category>Patterns</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</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=global</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>Java News Roundup: Simple JSON API, GlassFish, Jakarta EE, JNoSQL, Open Liberty, LangChain4j</title>
      <link>https://www.infoq.com/news/2026/08/java-news-roundup-aug10-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/java-news-roundup-aug10-2026/en/headerimage/java-news-roundup-image-1786901137571.jpg"/&gt;&lt;p&gt;This week's Java roundup for August 10th, 2026, features news highlighting: Simple JSON API proposed to target for JDK 28; an update on Jakarta EE 12; the August 2026 edition of Open Liberty; a point release of LangChain4j; maintenance releases of Eclipse JNoSQL and GraalVM Native Build tools; the third milestone release of GlassFish 9.0; and the second beta release of Groovy 6.0.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Glassfish</category>
      <category>Java</category>
      <category>Open Liberty</category>
      <category>JDK 28</category>
      <category>Groovy</category>
      <category>GraalVM</category>
      <category>LangChain4j</category>
      <category>Eclipse JNoSQL</category>
      <category>JDK 27</category>
      <category>Open JDK</category>
      <category>Jakarta EE</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 02:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/java-news-roundup-aug10-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Redlich</dc:creator>
      <dc:date>2026-08-17T02:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/java-news-roundup-aug10-2026/en</dc:identifier>
    </item>
    <item>
      <title>AWS Open-Sources Dogwood, Extending Cedar to Govern Sequences of Agent Tool Calls</title>
      <link>https://www.infoq.com/news/2026/08/aws-dogwood-agent-policy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/aws-dogwood-agent-policy/en/headerimage/generatedHeaderImage-1786602838111.jpg"/&gt;&lt;p&gt;AWS has open-sourced Dogwood, a policy language extending Cedar with temporal conditions so rules can reason about an agent's prior tool calls rather than one request in isolation. It covers approvals, rate limits and running totals, ships under Apache 2.0, and is supported in AgentCore Policy, though the reference interpreter is not production-ready.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Access Control</category>
      <category>AWS</category>
      <category>Generative AI</category>
      <category>Open Source</category>
      <category>Cloud</category>
      <category>Agents</category>
      <category>Amazon Web Services</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 16 Aug 2026 07:26:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aws-dogwood-agent-policy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-16T07:26:00Z</dc:date>
      <dc:identifier>/news/2026/08/aws-dogwood-agent-policy/en</dc:identifier>
    </item>
    <item>
      <title>AWS Introduces Native Vector Search for DynamoDB</title>
      <link>https://www.infoq.com/news/2026/08/aws-dynamodb-vector-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/aws-dynamodb-vector-search/en/headerimage/generatedHeaderImage-1786173983449.jpg"/&gt;&lt;p&gt;Amazon DynamoDB recently introduced native vector search, allowing developers to store embeddings alongside application data and run approximate nearest-neighbor queries directly from DynamoDB without using a separate vector database. The feature supports filtered similarity searches and configurable vector indexes for semantic search workloads.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>AWS</category>
      <category>NoSQL</category>
      <category>Generative AI</category>
      <category>Dynamo DB</category>
      <category>Cloud</category>
      <category>vector databases</category>
      <category>Search</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Sun, 16 Aug 2026 07:21:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aws-dynamodb-vector-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-08-16T07:21:00Z</dc:date>
      <dc:identifier>/news/2026/08/aws-dynamodb-vector-search/en</dc:identifier>
    </item>
    <item>
      <title>How PGSimCity Turns PostgreSQL Complexity into a Virtual City 3D Simulation</title>
      <link>https://www.infoq.com/news/2026/08/pgsimcity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://www.infoq.com/styles/static/images/logo/logo_bigger.jpg"/&gt;&lt;p&gt;Nikolay Samokhvalov has developed PGSimCity, an open-source educational tool that visualises PostgreSQL mechanics as a 3D spatial simulation in the browser. It assists backend developers and site reliability engineers in understanding SQL and the dynamics of kernel execution. The project is available on GitHub and aims to enhance understanding of database architecture through interactive elements.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Data Visualization</category>
      <category>Postgres</category>
      <category>Database</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sun, 16 Aug 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/pgsimcity/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-08-16T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/pgsimcity/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=global</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>Generative AI</category>
      <category>E-Commerce</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>Rankings</category>
      <category>vector databases</category>
      <category>Search</category>
      <category>Transcripts</category>
      <category>Machine Learning</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</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=global</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>Cloudflare Adds Agent Tracing, with Truncation Limits and Uneven Payload Defaults</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-agent-tracing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-agent-tracing/en/headerimage/generatedHeaderImage-1786103406667.jpg"/&gt;&lt;p&gt;Cloudflare launched agent tracing, adding spans for agent invocations, model calls, tool runs, and approvals to existing Workers traces. Sessions replay turn by turn, though the docs warn traces are not lossless and payloads may be truncated. Payload recording defaults differ by framework, and from October 1, 2026 every span counts as a billable event.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Generative AI</category>
      <category>Cloudflare</category>
      <category>OpenTelemetry</category>
      <category>Cloud</category>
      <category>Monitoring</category>
      <category>Serverless</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Observability</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sat, 15 Aug 2026 10:46:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-agent-tracing/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Steef-Jan Wiggers</dc:creator>
      <dc:date>2026-08-15T10:46:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-agent-tracing/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Introduces Cache Response Rules for Post-Origin Cache Control</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-cache-rules/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-cache-rules/en/headerimage/generatedHeaderImage-1785652462281.jpg"/&gt;&lt;p&gt;Cloudflare recently introduced Cache Response Rules, a rules engine that operates after an origin server responds but before content is written to Cloudflare's cache. Previously, Cache Rules operated only on request attributes. Cache Response Rules add a response phase that evaluates origin responses before they are cached.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>Edge Computing</category>
      <category>Cloudflare</category>
      <category>Caching</category>
      <category>Cloud</category>
      <category>CDN</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sat, 15 Aug 2026 06:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-cache-rules/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Renato Losio</dc:creator>
      <dc:date>2026-08-15T06:28:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-cache-rules/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Migrates JavaScript CDN Serving 9B Requests a Day to Its Developer Platform</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-cdnjs-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/cloudflare-cdnjs-migration/en/headerimage/generatedHeaderImage-1786326489158.jpg"/&gt;&lt;p&gt;Cloudflare has migrated cdnjs, its open source CDN for JavaScript and CSS libraries, to its Developer Platform. The new architecture uses Workers, R2, KV, Workflows, Queues, Durable Objects and Containers, consolidating publishing and delivery infrastructure while preserving package contents, URLs and SRI hashes at a scale of 9 billion requests per day.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Architecture</category>
      <category>Distributed Systems</category>
      <category>CSS</category>
      <category>Cloudflare</category>
      <category>Cloud Architecture</category>
      <category>JavaScript</category>
      <category>migration</category>
      <category>Serverless</category>
      <category>CDN</category>
      <category>Platforms</category>
      <category>Web</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 14 Aug 2026 14:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-cdnjs-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-08-14T14:42:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-cdnjs-migration/en</dc:identifier>
    </item>
    <item>
      <title>More Incidents Don't Necessarily Mean Less Reliability</title>
      <link>https://www.infoq.com/news/2026/08/incidents-reliability-metrics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/08/incidents-reliability-metrics/en/headerimage/generatedHeaderImage-1785853951990.jpg"/&gt;&lt;p&gt;One of the most common assumptions in engineering leadership is that a rising number of reported incidents signals declining system reliability. However, a recent article from Great Circle argues that the opposite is often true: an increase in incident counts may actually indicate that an organization's incident management culture is improving.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Service Reliability</category>
      <category>Metrics</category>
      <category>Incident Response</category>
      <category>Observability</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 14 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/incidents-reliability-metrics/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Craig Risi</dc:creator>
      <dc:date>2026-08-14T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/incidents-reliability-metrics/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=global</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>QCon London 2026</category>
      <category>Claude</category>
      <category>AI Coding</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Development</category>
      <category>Prompt Engineering</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</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=global</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>
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