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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>Shopify Introduces Gisting: Compressing LLM System Prompts into Learned Tokens</title>
      <link>https://www.infoq.com/news/2026/09/spotify-gisting-llm-performance/?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/spotify-gisting-llm-performance/en/headerimage/spotify-app-size-growth-process-1788462838475.jpeg"/&gt;&lt;p&gt;Shopify's engineering introduced gisting, a novel technique for compressing long LLM prompts into a smaller set of learned "gist" tokens, improving throughput and reducing inference cost.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Large language models</category>
      <category>Performance</category>
      <category>Model Inference</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 03 Sep 2026 20:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/spotify-gisting-llm-performance/?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>2026-09-03T20:00:00Z</dc:date>
      <dc:identifier>/news/2026/09/spotify-gisting-llm-performance/en</dc:identifier>
    </item>
    <item>
      <title>Rigorous Yet Sustainable Human Reviews in the AI Era</title>
      <link>https://www.infoq.com/news/2026/09/human-reviews-AI-era/?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/human-reviews-AI-era/en/headerimage/human-reviews-ai-era-header-1788179792608.jpg"/&gt;&lt;p&gt;Mandatory AI checks paired with manual spikes for complex changes keep developers sharp. Teams can boost velocity by skipping peer reviews on low-risk PRs and using AI approvals, provided most developers are code owners and teams are small.&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Code Reviews</category>
      <category>Code Quality</category>
      <category>Craft Conference</category>
      <category>Feedback</category>
      <category>Code Generation</category>
      <category>Artificial Intelligence</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 03 Sep 2026 11:57:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/human-reviews-AI-era/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ben Linders</dc:creator>
      <dc:date>2026-09-03T11:57:00Z</dc:date>
      <dc:identifier>/news/2026/09/human-reviews-AI-era/en</dc:identifier>
    </item>
    <item>
      <title>pnpm 12 Rewrites Package Manager in Rust, Accelerating Installs While Preserving pnpm 11 Workflows</title>
      <link>https://www.infoq.com/news/2026/09/pnpm-12-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/2026/09/pnpm-12-rust/en/headerimage/generatedHeaderImage-1788366354148.jpg"/&gt;&lt;p&gt;pnpm 12 has transitioned to a native Rust implementation, maintaining compatibility with pnpm 11 commands, flags, and formats. This update enhances startup and filesystem performance, particularly when using existing caches. Community feedback highlights the performance gains while noting some trade-offs in larger artifact sizes.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Rust</category>
      <category>JavaScript</category>
      <category>Web Development</category>
      <category>Node.js</category>
      <category>NPM</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Thu, 03 Sep 2026 11:23:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/pnpm-12-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>2026-09-03T11:23:00Z</dc:date>
      <dc:identifier>/news/2026/09/pnpm-12-rust/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Instrumentation at Scale: Having Your Performance Cake and Eating It Too</title>
      <link>https://www.infoq.com/presentations/instrumenting-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/presentations/instrumenting-scale/en/mediumimage/brian-martin-medium-1787812453109.jpg"/&gt;&lt;p&gt;Brian Martin discusses the real-world performance costs of metrics libraries and shares strategies for low-overhead, "fearless" instrumentation. Drawing from his work at IOP Systems, he explores atomic primitives, per-CPU sharding, lock-free histograms, and eBPF integration to help software architects and engineering leaders maintain full system visibility without sacrificing performance.&lt;/p&gt; &lt;i&gt;By Brian Martin&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Performance &amp; Scalability</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Thu, 03 Sep 2026 09:28:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/instrumenting-scale/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Brian Martin</dc:creator>
      <dc:date>2026-09-03T09:28:00Z</dc:date>
      <dc:identifier>/presentations/instrumenting-scale/en</dc:identifier>
    </item>
    <item>
      <title>Cohere’s Parse 5 Promises Efficient Multi-Modal Information Extraction from Complex Documents</title>
      <link>https://www.infoq.com/news/2026/09/cohere-multimodal-parse/?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;Cohere has launched Parse 5, a multimodal foundation model designed to extract structured data from complex enterprise documents. The 2.3-billion-parameter system converts visually rich PDFs into Markdown while providing bounding box coordinates for visual grounding. It has been evaluated against over 2,000 enterprise pages, achieving an average score of 79.2 in key performance areas.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Machine Learning</category>
      <category>Large language models</category>
      <category>OCR</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 03 Sep 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/09/cohere-multimodal-parse/?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>2026-09-03T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/09/cohere-multimodal-parse/en</dc:identifier>
    </item>
    <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>Machine Learning</category>
      <category>Online Learning</category>
      <category>Modeling</category>
      <category>Software Engineering</category>
      <category>Customers &amp; Requirements</category>
      <category>Acquisition</category>
      <category>Neural Networks</category>
      <category>Advertising</category>
      <category>Continuous Delivery</category>
      <category>Google</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</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>Voice-enabled UI</category>
      <category>WebRTC</category>
      <category>ChatGPT</category>
      <category>OpenAI</category>
      <category>RPC</category>
      <category>Streaming</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>Agents</category>
      <category>QCon AI Boston 2026</category>
      <category>LangChain4j</category>
      <category>Redis</category>
      <category>Large language models</category>
      <category>Generative AI</category>
      <category>Transcripts</category>
      <category>Caching</category>
      <category>Retrieval-Augmented Generation</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</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>Standardization</category>
      <category>Agents</category>
      <category>Cloud</category>
      <category>Cloudflare</category>
      <category>Access Control</category>
      <category>Security</category>
      <category>Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</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>Agents</category>
      <category>Large language models</category>
      <category>Claude</category>
      <category>ChatGPT</category>
      <category>OpenAI</category>
      <category>Anthropic</category>
      <category>Artificial Intelligence</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>InfoQ Certification Program</category>
      <category>Architecture ICSAET</category>
      <category>Culture &amp; Methods</category>
      <category>AI, ML &amp; Data Engineering</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>QCon San Francisco 2025</category>
      <category>Transcripts</category>
      <category>Telemetry</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>Terraform</category>
      <category>AI Development</category>
      <category>Artificial Intelligence</category>
      <category>AI Architecture</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</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>AI Security</category>
      <category>AI Development</category>
      <category>Continuous Improvement</category>
      <category>AI Coding</category>
      <category>VM</category>
      <category>AI Harness</category>
      <category>Code Reviews</category>
      <category>Agents</category>
      <category>Developer Experience</category>
      <category>Cloud</category>
      <category>Software Engineering</category>
      <category>Continuous Deployment</category>
      <category>AIOps</category>
      <category>Infrastructure</category>
      <category>AI Architecture</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</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>Azul Payara</category>
      <category>Open Liberty</category>
      <category>JDK 28</category>
      <category>Atmosphere</category>
      <category>GraalVM</category>
      <category>Jakarta EE</category>
      <category>Open JDK</category>
      <category>JDK 27</category>
      <category>Eclipse JNoSQL</category>
      <category>Java</category>
      <category>Quarkus</category>
      <category>JBoss WildFly</category>
      <category>Glassfish</category>
      <category>Architecture &amp; Design</category>
      <category>Development</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>
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