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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>.NET 11 Preview 7 Adds Passkeys, Incremental XAML Hot Reload, and Shell Route Templates to MAUI</title>
      <link>https://www.infoq.com/news/2026/08/dotnet-11-preview7-maui/?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/dotnet-11-preview7-maui/en/headerimage/header-1670341892423-1786909411379.jpg"/&gt;&lt;p&gt;Microsoft has released .NET 11 Preview 7 with a substantial set of .NET MAUI updates, including cross-platform passkey authentication, a new incremental XAML Hot Reload implementation, Shell route templates, and additional AOT-safe bindings. The release also continues MAUI’s migration from legacy renderers to handlers and improves development workflows on Android and Apple platforms.&lt;/p&gt; &lt;i&gt;By Edin Kapić&lt;/i&gt;</description>
      <category>.NET</category>
      <category>.NET MAUI</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/dotnet-11-preview7-maui/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Edin Kapić</dc:creator>
      <dc:date>2026-08-18T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/dotnet-11-preview7-maui/en</dc:identifier>
    </item>
    <item>
      <title>Major Frontier Model Providers Adopt Watermarking Tech to Comply with EU Regulation</title>
      <link>https://www.infoq.com/news/2026/08/eu-ai-content-watermark/?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;As of August 2, 2026, the EU AI Act Article 50 requires AI systems to mark synthetic outputs in a machine-detectable manner. Major vendors are implementing statistical watermarking methods, which influence natural language generation without affecting performance. This has prompted a swift reaction from the open-source community, raising compliance and vulnerability concerns.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Frontier Model</category>
      <category>EU Regulation</category>
      <category>Machine Learning</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 18 Aug 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/eu-ai-content-watermark/?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>2026-08-18T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/eu-ai-content-watermark/en</dc:identifier>
    </item>
    <item>
      <title>SpaceXAI Launches Grok Bot for Autonomous AI Agents</title>
      <link>https://www.infoq.com/news/2026/08/grok-bot-agent/?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/grok-bot-agent/en/headerimage/generatedHeaderImage-1786979342385.jpg"/&gt;&lt;p&gt;SpaceXAI has introduced Grok Bot, a system of persistent AI agents that operate on dedicated cloud computers and can interact with websites, applications, inboxes, and other tools.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Anthropic</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Software Development</category>
      <category>OpenAI</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 18:02:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/grok-bot-agent/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Daniel Dominguez</dc:creator>
      <dc:date>2026-08-17T18:02:00Z</dc:date>
      <dc:identifier>/news/2026/08/grok-bot-agent/en</dc:identifier>
    </item>
    <item>
      <title>JEP 540 Proposed to Target JDK 28 with a Simple JSON API</title>
      <link>https://www.infoq.com/news/2026/08/java-native-json-api/?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-native-json-api/en/headerimage/generatedHeaderImage-1786934139615.jpg"/&gt;&lt;p&gt;JEP 540, Simple JSON API, has progressed to Target status for JDK 28. It introduces a compact API for parsing and generating JSON documents without external dependencies. Focused on core tasks, it provides an immutable value hierarchy. The API allows simple traversal and conversion while enforcing strict syntax rules. Feedback during incubation will shape its future development.&lt;/p&gt; &lt;i&gt;By A N M Bazlur Rahman&lt;/i&gt;</description>
      <category>JEP</category>
      <category>Java</category>
      <category>JDK 28</category>
      <category>JSON</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 14:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/java-native-json-api/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>A N M Bazlur Rahman</dc:creator>
      <dc:date>2026-08-17T14:18:00Z</dc:date>
      <dc:identifier>/news/2026/08/java-native-json-api/en</dc:identifier>
    </item>
    <item>
      <title>Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents</title>
      <link>https://www.infoq.com/news/2026/08/grab-ai-analytics-agents/?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/grab-ai-analytics-agents/en/headerimage/generatedHeaderImage-1786600049929.jpg"/&gt;&lt;p&gt;Grab is using AI agents to automate analytics workflows, cutting mechanical analyst work from 44% in February to 30% in June. Its approach combines agent autonomy, certified data, context management and human oversight, with self service analytics increasingly handling metric, data and SQL requests without analyst intervention.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Automation</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Business Analysis</category>
      <category>AI Architecture</category>
      <category>autonomous</category>
      <category>AI Development</category>
      <category>Funnel Analysis</category>
      <category>Data Analytics</category>
      <category>Data Analysis</category>
      <category>Slack</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 13:41:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/grab-ai-analytics-agents/?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>2026-08-17T13:41:00Z</dc:date>
      <dc:identifier>/news/2026/08/grab-ai-analytics-agents/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Turns CI Pipelines into TypeScript Workflows</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-ci-code-workflows/?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-ci-code-workflows/en/headerimage/header-1786802745789.jpeg"/&gt;&lt;p&gt;Cloudflare has released cloudflare/ci, a CI SDK that defines pipelines in TypeScript on top of Cloudflare Workflows, giving each step durable retries and replay, concurrent steps by default and Sandbox snapshot caching. It targets the Workers runtime and depends on Artifacts, still in private beta, so the transferable lesson is the durable-step model rather than a drop-in CI replacement.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Continuous Integration</category>
      <category>Continuous Delivery</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Mon, 17 Aug 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-ci-code-workflows/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mark Silvester</dc:creator>
      <dc:date>2026-08-17T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-ci-code-workflows/en</dc:identifier>
    </item>
    <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>Governance</category>
      <category>Artificial Intelligence</category>
      <category>Code Quality</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</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>
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      <dc:date>2026-08-16T05:05:00Z</dc:date>
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