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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>FlexGanttFX is Open Source</title>
      <link>https://www.infoq.com/news/2026/08/flexgantfx/?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;Dirk Lemmerman has released FlexGanttFX as an open-source resource-scheduling framework under the AGPL license. This JavaFX library enables Gantt chart creation for various industries, optimizing performance with a Canvas rendering method. The framework includes features for task dependency modeling and direct editing, accommodating diverse project planning needs.&lt;/p&gt; &lt;i&gt;By Erik Costlow&lt;/i&gt;</description>
      <category>Java</category>
      <category>JavaFX</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 03:48:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/flexgantfx/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Erik Costlow</dc:creator>
      <dc:date>2026-08-31T03:48:00Z</dc:date>
      <dc:identifier>/news/2026/08/flexgantfx/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Extends AI Search to Make it Easier for Agents and Developers to Search Custom Data</title>
      <link>https://www.infoq.com/news/2026/08/cloudflare-ai-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/cloudflare-ai-search/en/headerimage/cloudflare-ai-search-1788105575745.jpeg"/&gt;&lt;p&gt;Cloudflare AI Search is a built-in search and retrieval service designed to give AI agents and applications a ready-to-use search engine over custom data. It supports agent integration, multimodal search, and seamless integration with other Cloudflare tools.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Search Engine</category>
      <category>Cloud</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Sun, 30 Aug 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cloudflare-ai-search/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-08-30T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cloudflare-ai-search/en</dc:identifier>
    </item>
    <item>
      <title>AWS Open Sources Kiro Crew for Asynchronous Coding Agents</title>
      <link>https://www.infoq.com/news/2026/08/kiro-crew-coding-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/kiro-crew-coding-agents/en/headerimage/generatedHeaderImage-1786904775247.jpg"/&gt;&lt;p&gt;Amazon recently announced Kiro Crew, an open-source system for running multiple Kiro coding agents across sessions, tools, and tasks. The new workspace lets developers assign asynchronous coding tasks to AI agents, allowing work such as incident investigation, ticket triage, migrations, and PR monitoring to continue without active supervision.&lt;/p&gt; &lt;i&gt;By Renato Losio&lt;/i&gt;</description>
      <category>AWS</category>
      <category>AI Coding</category>
      <category>AI Assisted Coding</category>
      <category>Agents</category>
      <category>AI Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Sun, 30 Aug 2026 08:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/kiro-crew-coding-agents/?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>2026-08-30T08:23:00Z</dc:date>
      <dc:identifier>/news/2026/08/kiro-crew-coding-agents/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Architecting the Data Layer for AI Agents: from Transactional Systems to MCP and Semantic Models</title>
      <link>https://www.infoq.com/presentations/enterprise-data-architecture-ai-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/presentations/enterprise-data-architecture-ai-agents/en/mediumimage/fabiane-nardon-medium-1787218382028.jpeg"/&gt;&lt;p&gt;Fabiane Nardon shares how TOTVS prepares enterprise data for token-hungry AI agents. She discusses balancing deterministic logic and non-deterministic LLMs across precision, security, and cost. Nardon details using data mesh, low-latency database architectures, semantic ontologies, and dynamic MCP tool selection to optimize context windows and reduce token overhead in transactional systems.&lt;/p&gt; &lt;i&gt;By Fabiane Nardon&lt;/i&gt;</description>
      <category>Data Mesh</category>
      <category>AI Cost Optimisation</category>
      <category>Semantic Web</category>
      <category>Large language models</category>
      <category>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>AI Architecture</category>
      <category>Model Context Protocol (MCP)</category>
      <category>AI Security</category>
      <category>Agentic AI Architecture</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>presentation</category>
      <pubDate>Sat, 29 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/enterprise-data-architecture-ai-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Fabiane Nardon</dc:creator>
      <dc:date>2026-08-29T11:00:00Z</dc:date>
      <dc:identifier>/presentations/enterprise-data-architecture-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Workers Accept Inbound TCP, with gRPC the First Protocol on Top</title>
      <link>https://www.infoq.com/news/2026/08/workers-inbound-tcp-grpc/?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/workers-inbound-tcp-grpc/en/headerimage/generatedHeaderImage-1787654507205.jpg"/&gt;&lt;p&gt;Cloudflare Workers can now accept inbound TCP connections through a new connect(socket) handler routed via Spectrum, ending an eight-year restriction to HTTP. Containers get full-duplex gRPC in any language, while Workers get unary and server-streaming through automatic gRPC-web translation. Everything is private beta.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Protocol</category>
      <category>Architecture</category>
      <category>Edge Computing</category>
      <category>Cloudflare</category>
      <category>Cloud</category>
      <category>Serverless</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sat, 29 Aug 2026 09:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/workers-inbound-tcp-grpc/?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>2026-08-29T09:55:00Z</dc:date>
      <dc:identifier>/news/2026/08/workers-inbound-tcp-grpc/en</dc:identifier>
    </item>
    <item>
      <title>FreeToken Unlocks Frontier MoE Inference on Consumer Hardware via Dynamic Co-Execution</title>
      <link>https://www.infoq.com/news/2026/08/freetoken-local-inference/?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;Researchers from UC Berkeley and MIT have developed FreeToken, an open-source inference engine that enhances the utility of Mixture-of-Experts models on consumer hardware. By implementing a dynamic scheduling policy and optimising weight management, FreeToken improves decoding speeds and execution efficiency in edge AI applications, fostering self-hosted reasoning systems.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Frontier Model</category>
      <category>Large language models</category>
      <category>Model Inference</category>
      <category>Local First</category>
      <category>Local Inference</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Sat, 29 Aug 2026 05:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/freetoken-local-inference/?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>2026-08-29T05:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/freetoken-local-inference/en</dc:identifier>
    </item>
    <item>
      <title>Uber Builds GitFarm to Run Git Operations as a Service for Large-Scale Monorepos</title>
      <link>https://www.infoq.com/news/2026/08/uber-gitfarm-git-as-a-service/?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;Uber’s GitFarm provides Git operations as a centralized service, eliminating local repository clones across large scale monorepo workloads. The platform uses prewarmed checkouts, ephemeral sandboxes, repository synchronization, and gRPC streaming to reduce resource consumption and startup latency for automation services operating across thousands of repositories.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>git</category>
      <category>Repository</category>
      <category>Distributed Systems</category>
      <category>Management</category>
      <category>Agents</category>
      <category>github</category>
      <category>Continuous Integration</category>
      <category>GitLab</category>
      <category>Continuous Delivery</category>
      <category>Infrastructure</category>
      <category>Microservices</category>
      <category>gRPC</category>
      <category>Developer Experience</category>
      <category>GitOps</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/uber-gitfarm-git-as-a-service/?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>2026-08-28T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/uber-gitfarm-git-as-a-service/en</dc:identifier>
    </item>
    <item>
      <title>AKS Looks to Make Node Disruption More Predictable with New NAP Guidance</title>
      <link>https://www.infoq.com/news/2026/08/aks-node-disruption/?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/aks-node-disruption/en/headerimage/generatedHeaderImage-1787153940553.jpg"/&gt;&lt;p&gt;Microsoft is placing greater emphasis on controlling disruption in Azure Kubernetes Service (AKS) Node Auto-Provisioning (NAP), publishing new guidance to help platform teams balance the efficiency benefits of automated node consolidation with application availability.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Kubernetes</category>
      <category>Kubernetes Operator</category>
      <category>Microsoft Azure</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aks-node-disruption/?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>2026-08-28T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/aks-node-disruption/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From DVDs to Global Streaming: How Netflix’s Commerce Architecture Actually Evolved</title>
      <link>https://www.infoq.com/presentations/netflix-commerce-architecture-evolution/?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/netflix-commerce-architecture-evolution/en/mediumimage/kasia-trapszo-medium-1787217920531.jpg"/&gt;&lt;p&gt;Kasia Trapszo discusses how Netflix evolved its commerce platform from a U.S. DVD service into global infrastructure. She explains navigating international payment realities, adapting to strict regulatory mandates, decomposing monolithic architectures along domain boundaries, and re-architecting systems for massive live-event demand - proving great systems survive by continually evolving.&lt;/p&gt; &lt;i&gt;By Kasia Trapszo&lt;/i&gt;</description>
      <category>Design Systems</category>
      <category>Technical Debt</category>
      <category>Distributed Systems</category>
      <category>QCon London 2026</category>
      <category>Microservices</category>
      <category>payment</category>
      <category>Leadership</category>
      <category>Netflix</category>
      <category>Transcripts</category>
      <category>Performance &amp; Scalability</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Fri, 28 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/netflix-commerce-architecture-evolution/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Kasia Trapszo</dc:creator>
      <dc:date>2026-08-28T11:00:00Z</dc:date>
      <dc:identifier>/presentations/netflix-commerce-architecture-evolution/en</dc:identifier>
    </item>
    <item>
      <title>Article: Post-Quantum Cryptography in Spring Boot: Four Patterns You Can Ship This Sprint</title>
      <link>https://www.infoq.com/articles/pqc-in-spring-boot/?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/pqc-in-spring-boot/en/headerimage/pqc-in-spring-boot-header-1787646727709.jpg"/&gt;&lt;p&gt;There are four patterns that bring PQC into a Spring Boot fleet: encrypting payloads between services, locking down database fields, signing documents that need to hold up for decades, and moving service tokens off RS256. Along the way, we discuss why Harvest Now, Decrypt Later is already happening, and why none of this is production-safe until KMS or Vault is in place.&lt;/p&gt; &lt;i&gt;By Pankaj Sharma&lt;/i&gt;</description>
      <category>Java</category>
      <category>Spring Boot</category>
      <category>Quantum Computing</category>
      <category>Spring Security</category>
      <category>Hashicorp</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Fri, 28 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/pqc-in-spring-boot/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Pankaj Sharma</dc:creator>
      <dc:date>2026-08-28T09:00:00Z</dc:date>
      <dc:identifier>/articles/pqc-in-spring-boot/en</dc:identifier>
    </item>
    <item>
      <title>Meta Expands its Custom Silicon Strategy from Compute into Networking</title>
      <link>https://www.infoq.com/news/2026/08/meta-hccl/?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;Meta has detailed MTIA 300, its first in-house accelerator optimized for training ranking and recommendation models.&lt;/p&gt; &lt;i&gt;By Matt Foster&lt;/i&gt;</description>
      <category>Supercomputer</category>
      <category>Hardware</category>
      <category>AI Architecture</category>
      <category>Networking</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 07:43:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/meta-hccl/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Foster</dc:creator>
      <dc:date>2026-08-28T07:43:00Z</dc:date>
      <dc:identifier>/news/2026/08/meta-hccl/en</dc:identifier>
    </item>
    <item>
      <title>Audio Fingerprinting Discovered on Alibaba Websites While Debugging BLE Multipoint Disconnects</title>
      <link>https://www.infoq.com/news/2026/08/alibaba-audio-fingerprinting/?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;A recent discovery revealed that AliExpress employs silent audio streams for device fingerprinting, leveraging the Web Audio API. This technique involves analyzing hardware-specific audio processing to distinguish user devices. Privacy-focused browsers have developed countermeasures, highlighting a security gap in current web standards regarding audio context initialization and user privacy.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Web Browser</category>
      <category>Privacy</category>
      <category>JavaScript</category>
      <category>Security</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Fri, 28 Aug 2026 07:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/alibaba-audio-fingerprinting/?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>2026-08-28T07:07:00Z</dc:date>
      <dc:identifier>/news/2026/08/alibaba-audio-fingerprinting/en</dc:identifier>
    </item>
    <item>
      <title>Spring News Roundup: First Milestone Releases for Boot, Framework, Data, Security, Modulith, Batch</title>
      <link>https://www.infoq.com/news/2026/08/spring-news-roundup-aug17-2026/?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/spring-news-roundup-aug17-2026/en/headerimage/spring-news-roundup-image-1787845727439.jpg"/&gt;&lt;p&gt;After a 10-week hiatus since the last batch of Spring ecosystem releases, there was a flurry of activity during the week of August 17th, 2026, highlighting first milestone releases of: Spring Boot, Spring Framework, Spring Data, Spring Security, Spring Integration, Spring HATEOAS, Spring Modulith, Spring Batch, Spring AMQP and Spring for Apache Kafka.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Java</category>
      <category>Spring Batch</category>
      <category>Spring Boot</category>
      <category>Spring Data</category>
      <category>Spring Framework</category>
      <category>Spring Security</category>
      <category>Spring Integration</category>
      <category>Spring Modulith</category>
      <category>Apache Kafka</category>
      <category>AMQP</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Thu, 27 Aug 2026 15:50:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/spring-news-roundup-aug17-2026/?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>2026-08-27T15:50:00Z</dc:date>
      <dc:identifier>/news/2026/08/spring-news-roundup-aug17-2026/en</dc:identifier>
    </item>
    <item>
      <title>Google Cloud Launches AI-powered Agents to Simplify Database Lifecycle Management</title>
      <link>https://www.infoq.com/news/2026/08/google-database-operation-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/google-database-operation-agents/en/headerimage/google-database-operations-agents-1787842474177.jpeg"/&gt;&lt;p&gt;Google Cloud has introduced AI-powered Database Operations Agents, featuring an Onboarding Agent that streamlines database setup and an Observability Agent that helps automate troubleshooting, performance optimization, and tuning. Integrated with Gemini Cloud Assist, these agents support multiple database services, including AlloyDB, Bigtable, and Spanner.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Database</category>
      <category>Agents</category>
      <category>Artificial Intelligence</category>
      <category>Google Cloud</category>
      <category>Gemini</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 27 Aug 2026 15:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/google-database-operation-agents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Sergio De Simone</dc:creator>
      <dc:date>2026-08-27T15:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/google-database-operation-agents/en</dc:identifier>
    </item>
    <item>
      <title>Astro Introduces Sätteri: a Rust-Powered Markdown and Mdx Processor with up to 60% Faster Builds</title>
      <link>https://www.infoq.com/news/2026/08/astro-satteri-rust/?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/astro-satteri-rust/en/headerimage/generatedHeaderImage-1787817978309.jpg"/&gt;&lt;p&gt;Sätteri is a high-performance Markdown and MDX processor developed by the Astro team. Built in Rust, it enhances build speeds by up to 61% for Astro 7.0. Sätteri supports flexible JavaScript plugins and integrates various Markdown features natively. It maintains compatibility with the unified ecosystem while offering faster parsing and reduced dependencies.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Front-end</category>
      <category>JavaScript</category>
      <category>Web Development</category>
      <category>Rust</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 27 Aug 2026 12:31:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/astro-satteri-rust/?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>2026-08-27T12:31:00Z</dc:date>
      <dc:identifier>/news/2026/08/astro-satteri-rust/en</dc:identifier>
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