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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer Lifetime Value</title>
      <link>https://www.infoq.com/news/2026/09/swiggy-pltv-multitask-mlp/?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/2026/09/swiggy-pltv-multitask-mlp/en/headerimage/generatedHeaderImage-1787507980584.jpg"/&gt;&lt;p&gt;Swiggy developed an in house predicted lifetime value model using more than 350 pre order features and a multi task MLP for Food and Instamart. Adding order count as an auxiliary task reduced model parameters by 63% while improving predictive performance. The pLTV signal is used with Google Target ROAS bidding to optimize customer acquisition.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Advertising</category>
      <category>Acquisition</category>
      <category>Google</category>
      <category>Neural Networks</category>
      <category>Continuous Delivery</category>
      <category>Machine Learning</category>
      <category>Online Learning</category>
      <category>Customers &amp; Requirements</category>
      <category>Modeling</category>
      <category>Software Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 02 Sep 2026 13:55:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/swiggy-pltv-multitask-mlp/?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>2026-09-02T13:55:00Z</dc:date>
      <dc:identifier>/news/2026/09/swiggy-pltv-multitask-mlp/en</dc:identifier>
    </item>
    <item>
      <title>OpenAI Details GPT-Live’s Architecture for Continuous Stateful Voice Interaction</title>
      <link>https://www.infoq.com/news/2026/09/openai-gpt-live/?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/2026/09/openai-gpt-live/en/headerimage/OpenAI-gpt-live-system-architecture-header-1788176199388.jpeg"/&gt;&lt;p&gt;OpenAI recently published an engineering account of GPT-Live. It described how they designed the system to maintain continuous voice interaction while separating latency-sensitive media processing from broader application work. The live path contains the media pipeline and inference loop, while delegation, tool use, persistence, and other application logic run behind an asynchronous RPC boundary.&lt;/p&gt; &lt;i&gt;By Eran Stiller&lt;/i&gt;</description>
      <category>RPC</category>
      <category>OpenAI</category>
      <category>ChatGPT</category>
      <category>Streaming</category>
      <category>Voice-enabled UI</category>
      <category>WebRTC</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 02 Sep 2026 12:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/openai-gpt-live/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Eran Stiller</dc:creator>
      <dc:date>2026-09-02T12:20:00Z</dc:date>
      <dc:identifier>/news/2026/09/openai-gpt-live/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Beyond Prompting: Context Engineering for Production-Grade AI</title>
      <link>https://www.infoq.com/presentations/context-engineering-redis-llm-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/presentations/context-engineering-redis-llm-architecture/en/mediumimage/ricardo-ferreira-medium-1787820318843.jpg"/&gt;&lt;p&gt;Ricardo Ferreira discusses moving beyond simple prompt engineering to build production-grade AI applications. He shares practical architectural strategies for integrating long-term and short-term memory using Redis, managing LLM token limits via summarization, mitigating context rot with reranking and semantic caching, and controlling exponential API costs under strict latency constraints.&lt;/p&gt; &lt;i&gt;By Ricardo Ferreira&lt;/i&gt;</description>
      <category>Caching</category>
      <category>Large language models</category>
      <category>Architecture</category>
      <category>Generative AI</category>
      <category>Retrieval-Augmented Generation</category>
      <category>QCon AI Boston 2026</category>
      <category>LangChain4j</category>
      <category>Redis</category>
      <category>Transcripts</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Wed, 02 Sep 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/context-engineering-redis-llm-architecture/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ricardo Ferreira</dc:creator>
      <dc:date>2026-09-02T11:00:00Z</dc:date>
      <dc:identifier>/presentations/context-engineering-redis-llm-architecture/en</dc:identifier>
    </item>
    <item>
      <title>Cloudflare Adds Optional OAuth Scopes, Letting Developers Mark What Users May Decline</title>
      <link>https://www.infoq.com/news/2026/09/cloudflare-optional-oauth-scopes/?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/2026/09/cloudflare-optional-oauth-scopes/en/headerimage/generatedHeaderImage-1787915759251.jpg"/&gt;&lt;p&gt;Cloudflare has added optional OAuth scopes, letting client owners mark which permissions users may deselect at consent. The company names MCP servers as the motivating case, since agents request the union of everything they might do. Partial consent exists elsewhere, but developer control over which scopes are droppable does not.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Cloudflare</category>
      <category>Access Control</category>
      <category>Architecture</category>
      <category>Cloud</category>
      <category>Security</category>
      <category>Standardization</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 02 Sep 2026 09:07:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cloudflare-optional-oauth-scopes/?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>2026-09-02T09:07:00Z</dc:date>
      <dc:identifier>/news/2026/09/cloudflare-optional-oauth-scopes/en</dc:identifier>
    </item>
    <item>
      <title>OpenClaw 2.0 Releases with Simplified Setup and Collaborative Agents</title>
      <link>https://www.infoq.com/news/2026/09/openclaw-2-release/?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/2026/09/openclaw-2-release/en/headerimage/generatedHeaderImage-1788278004063.jpg"/&gt;&lt;p&gt;OpenClaw has released OpenClaw 2.0, a major update to the open-source personal AI agent that changes its installation process, browser interface, memory, skills, automations, plugins, security, and collaboration features.&lt;/p&gt; &lt;i&gt;By Daniel Dominguez&lt;/i&gt;</description>
      <category>Claude</category>
      <category>OpenAI</category>
      <category>Large language models</category>
      <category>Artificial Intelligence</category>
      <category>ChatGPT</category>
      <category>Anthropic</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 01 Sep 2026 18:47:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/openclaw-2-release/?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>2026-09-01T18:47:00Z</dc:date>
      <dc:identifier>/news/2026/09/openclaw-2-release/en</dc:identifier>
    </item>
    <item>
      <title>InfoQ previews the September cohorts of its online certification programs</title>
      <link>https://www.infoq.com/news/2026/09/infoq-online-cohorts-sept-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/2026/09/infoq-online-cohorts-sept-2026/en/headerimage/InfoQ-news-cohorts-1788263191137.jpg"/&gt;&lt;p&gt;A preview of the September cohorts of the InfoQ Online Certification Programs, and the facilitators leading them: Luca Mezzalira, Michelle Brush, Zichuan Xiong, and Premanand Chandrasekaran.&lt;/p&gt; &lt;i&gt;By Artenisa Chatziou&lt;/i&gt;</description>
      <category>AI-Assisted Engineering Certification</category>
      <category>AI Engineering Certification</category>
      <category>AI Security &amp; Privacy Engineering Certification</category>
      <category>Engineering Leadership Certification</category>
      <category>Architecture ICSAET</category>
      <category>InfoQ Certification Program</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Tue, 01 Sep 2026 13:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/infoq-online-cohorts-sept-2026/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Artenisa Chatziou</dc:creator>
      <dc:date>2026-09-01T13:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/infoq-online-cohorts-sept-2026/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Beyond Line Charts: Why Some Diversity in Telemetry Visualization Is Long Overdue</title>
      <link>https://www.infoq.com/presentations/telemetry-data/?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/telemetry-data/en/mediumimage/yao-yue-medium-1787812332305.jpeg"/&gt;&lt;p&gt;Yao Yue discusses the fundamental limitations of standard line charts for system observability. Drawing from 15 years of operating large-scale systems, she shares how engineering leaders and software architects can transform telemetry data - moving beyond simple time-series defaults - to build visualizations that directly answer critical capacity, latency, and fleet-sizing questions.&lt;/p&gt; &lt;i&gt;By Yao Yue&lt;/i&gt;</description>
      <category>Telemetry</category>
      <category>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 01 Sep 2026 12:35:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/telemetry-data/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Yao Yue</dc:creator>
      <dc:date>2026-09-01T12:35:00Z</dc:date>
      <dc:identifier>/presentations/telemetry-data/en</dc:identifier>
    </item>
    <item>
      <title>HCP Terraform Positions Itself as the Control Plane for AI-Driven Infrastructure</title>
      <link>https://www.infoq.com/news/2026/09/hcp-terraform-ai-driven-control/?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/2026/09/hcp-terraform-ai-driven-control/en/headerimage/generatedHeaderImage-1787561761498.jpg"/&gt;&lt;p&gt;HashiCorp is positioning HCP Terraform as the governance and control plane for a new generation of AI-driven infrastructure, arguing that the rapid adoption of coding agents is shifting the biggest infrastructure challenge from writing configuration to verifying and safely executing it.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>AI Development</category>
      <category>Terraform</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 01 Sep 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/hcp-terraform-ai-driven-control/?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>2026-09-01T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/hcp-terraform-ai-driven-control/en</dc:identifier>
    </item>
    <item>
      <title>DoorDash’s Flux Runs 130,000 Engineering Tasks through Cloud-Based Agents</title>
      <link>https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/?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;DoorDash has moved engineering agent workloads from developer laptops to its Flux cloud platform. The platform automated 130,000 engineering tasks in one month and supports more than 25,000 automated code reviews weekly. Flux uses isolated Firecracker microVMs, an MCP gateway, reusable playbooks, and multiple invocation surfaces to run agent workflows with scoped access and centralized auditing.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Software Engineering</category>
      <category>AI Harness</category>
      <category>AIOps</category>
      <category>Continuous Improvement</category>
      <category>AI Coding</category>
      <category>Agents</category>
      <category>Infrastructure</category>
      <category>Developer Experience</category>
      <category>Code Reviews</category>
      <category>Cloud</category>
      <category>Continuous Deployment</category>
      <category>AI Development</category>
      <category>AI Security</category>
      <category>AI Architecture</category>
      <category>VM</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 14:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/doordash-flux-cloud-agent/?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>2026-08-31T14:28:00Z</dc:date>
      <dc:identifier>/news/2026/08/doordash-flux-cloud-agent/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: GraalVM, Jakarta Data, JNoSQL, Azul Payara, WildFly, Quarkus, Atmosphere</title>
      <link>https://www.infoq.com/news/2026/08/java-news-roundup-aug24-2026/?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-aug24-2026/en/headerimage/java-news-roundup-image-1788175476923.jpg"/&gt;&lt;p&gt;This week's Java roundup for August 24th, 2026, features news highlighting: the GA release of Atmosphere 4.0; point releases of GraalVM, Azul Payara and Quarkus; a maintenance release of WildFly 41; milestone releases of Jakarta Data and Eclipse JNoSQL; a beta release of the September 2026 edition of Open Liberty; and the release of Docker images for GlassFish 8.0.4.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>GraalVM</category>
      <category>Glassfish</category>
      <category>Open Liberty</category>
      <category>JDK 27</category>
      <category>Azul Payara</category>
      <category>Jakarta EE</category>
      <category>Java</category>
      <category>Quarkus</category>
      <category>Open JDK</category>
      <category>Atmosphere</category>
      <category>Eclipse JNoSQL</category>
      <category>JDK 28</category>
      <category>JBoss WildFly</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 11:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/java-news-roundup-aug24-2026/?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>2026-08-31T11:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/java-news-roundup-aug24-2026/en</dc:identifier>
    </item>
    <item>
      <title>Article: Eliminating Long-Lived Credentials in GCP with Workload Identity Federation</title>
      <link>https://www.infoq.com/articles/gcp-wif-scale/?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/gcp-wif-scale/en/headerimage/gcp-wif-scale-header-1787838950646.jpg"/&gt;&lt;p&gt;Long-lived GCP service account keys are secrets that must be managed forever, are hard to rotate, and are easy to leak. Scaling Workload Identity Federation to 120+ production projects shows why it changes how machine identity is approached entirely: keys are secrets to manage, federated identities are trust relationships configured once, gated by attribute conditions.&lt;/p&gt; &lt;i&gt;By Shijin Nair&lt;/i&gt;</description>
      <category>Cloud</category>
      <category>Google Cloud</category>
      <category>DevSecOps</category>
      <category>Authentication</category>
      <category>Cloud Security</category>
      <category>DevOps</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 31 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/gcp-wif-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Shijin Nair</dc:creator>
      <dc:date>2026-08-31T11:00:00Z</dc:date>
      <dc:identifier>/articles/gcp-wif-scale/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: Scott Jenson on Evolving Desktop OS, Local-First, &amp; Agentic UX</title>
      <link>https://www.infoq.com/podcasts/evolving-desktop-agentic-ux/?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/evolving-desktop-agentic-ux/en/smallimage/infoq-podcast-500-1787734073812.jpg"/&gt;&lt;p&gt;In this episode, Scott Jenson, a veteran UX designer known for his work on the Macintosh, Google Maps, and Chrome examines the long-term stagnation of desktop operating systems and the limitations of current mobile and cloud-centric models.&lt;/p&gt; &lt;i&gt;By Scott Jenson&lt;/i&gt;</description>
      <category>Design</category>
      <category>Large language models</category>
      <category>The InfoQ Podcast</category>
      <category>Artificial Intelligence</category>
      <category>UX</category>
      <category>Local First</category>
      <category>Operating Systems</category>
      <category>Privacy</category>
      <category>Desktop</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Culture &amp; Methods</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>podcast</category>
      <pubDate>Mon, 31 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/evolving-desktop-agentic-ux/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Scott Jenson</dc:creator>
      <dc:date>2026-08-31T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/evolving-desktop-agentic-ux/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Running AI at the Edge: Running Real Workloads Directly in the Browser</title>
      <link>https://www.infoq.com/presentations/local-ai-browser-inference-privacy/?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/local-ai-browser-inference-privacy/en/mediumimage/james-hall-medium-1787813225372.jpeg"/&gt;&lt;p&gt;James Hall discusses the strategic and technical imperative of moving AI workloads from cloud providers to local edge devices. He shares practical approaches using WebGPU, Transformers.js, and DuckDB to achieve near-native performance in JavaScript. Through real-world case studies, he explains how to minimize data privacy risks, optimize browser inference, and build rigorous evaluation suites.&lt;/p&gt; &lt;i&gt;By James Hall&lt;/i&gt;</description>
      <category>Web Browser</category>
      <category>Web Development</category>
      <category>GPU</category>
      <category>Local Inference</category>
      <category>Cloud Computing</category>
      <category>AI Security</category>
      <category>Machine Learning</category>
      <category>Privacy</category>
      <category>Transcripts</category>
      <category>Edge Computing</category>
      <category>QCon London 2026</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Mon, 31 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/local-ai-browser-inference-privacy/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>James Hall</dc:creator>
      <dc:date>2026-08-31T11:00:00Z</dc:date>
      <dc:identifier>/presentations/local-ai-browser-inference-privacy/en</dc:identifier>
    </item>
    <item>
      <title>Foundry Model Router Expands from Two Regions to 28, Refreshing Its Model Pool</title>
      <link>https://www.infoq.com/news/2026/08/foundry-model-router-regions/?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/foundry-model-router-regions/en/headerimage/generatedHeaderImage-1787836928169.jpg"/&gt;&lt;p&gt;Microsoft expanded Foundry's model router from two regions to 28 for global standard and 21 for data zone deployments, while adding Claude Opus 4.8 and GPT-5.6 and removing four deprecated models. Default deployments receive pool changes automatically; configured subsets exclude new models until added. The effective context window equals the smallest model in the pool.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Azure</category>
      <category>Cloud</category>
      <category>Generative AI</category>
      <category>AI Architecture</category>
      <category>Microsoft</category>
      <category>Governance</category>
      <category>Cost Optimization</category>
      <category>Microsoft Azure</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 31 Aug 2026 10:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/foundry-model-router-regions/?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>2026-08-31T10:18:00Z</dc:date>
      <dc:identifier>/news/2026/08/foundry-model-router-regions/en</dc:identifier>
    </item>
    <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>JavaFX</category>
      <category>Java</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>
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