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    <title>InfoQ</title>
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    <description>InfoQ feed</description>
    <item>
      <title>AWS Introduces Specification Driven Composition for Flexible Data Workflows</title>
      <link>https://www.infoq.com/news/2026/08/aws-spec-driven-data-workflow/?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-spec-driven-data-workflow/en/headerimage/generatedHeaderImage-1786944784495.jpg"/&gt;&lt;p&gt;AWS describes a specification-driven approach for composing flexible data workflows by separating intent from processing logic. Architecture uses declarative specifications, reusable processing capabilities, and validation before execution. AWS reports that the approach can reduce dataset onboarding from weeks to days while supporting traceability, versioning, data classification, and governance.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>ETL</category>
      <category>AWS Lambda</category>
      <category>Serverless</category>
      <category>OpenSearch</category>
      <category>Automation</category>
      <category>Architecture</category>
      <category>Data Pipelines</category>
      <category>Orchestration</category>
      <category>S3</category>
      <category>Declarative Programming</category>
      <category>Software Engineering</category>
      <category>Data</category>
      <category>Workflow Foundation</category>
      <category>Data Governance</category>
      <category>Amazon CloudWatch</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 26 Aug 2026 14:18:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/aws-spec-driven-data-workflow/?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>2026-08-26T14:18:00Z</dc:date>
      <dc:identifier>/news/2026/08/aws-spec-driven-data-workflow/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Can Claude Fix Itself? Using LLMs for Incident Response</title>
      <link>https://www.infoq.com/presentations/claude-sre-incidents/?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/claude-sre-incidents/en/mediumimage/alex-palcuie-medium-1786539336984.jpg"/&gt;&lt;p&gt;Anthropic reliability engineer Alex Palcuie shares practical lessons on using LLMs for real-world incident response. He explains where AI acts as a superhuman for observing logs and traces, why it still struggles with causation versus correlation during root-cause analysis, and how engineering leaders can integrate AI into on-call workflows without eroding human expertise.&lt;/p&gt; &lt;i&gt;By Alex Palcuie&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Site Reliability Engineering</category>
      <category>Large language models</category>
      <category>On-call</category>
      <category>Automation</category>
      <category>Claude</category>
      <category>QCon London 2026</category>
      <category>Incident Response</category>
      <category>Observability</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 26 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/claude-sre-incidents/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Alex Palcuie</dc:creator>
      <dc:date>2026-08-26T11:00:00Z</dc:date>
      <dc:identifier>/presentations/claude-sre-incidents/en</dc:identifier>
    </item>
    <item>
      <title>Article: Beyond Offset Lag: Computing Time in Queue for Apache Hudi Data Lake Pipelines at Petabyte Scale</title>
      <link>https://www.infoq.com/articles/beyond-offset-lag-kafka-apache-hudi/?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/beyond-offset-lag-kafka-apache-hudi/en/headerimage/beyond-offset-lag-kafka-apache-hudi-header-1787577734265.jpg"/&gt;&lt;p&gt;In this article, author Srikanth Mamidala discusses the data lake architecture used for analytics, reporting, and machine learning and shows how to manage the consumer lag metrics when using Kafka and Apache Hudi.&lt;/p&gt; &lt;i&gt;By Srikanth Mamidala&lt;/i&gt;</description>
      <category>Messaging</category>
      <category>Data Lake</category>
      <category>Streaming</category>
      <category>Data Pipelines</category>
      <category>Apache Kafka</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Wed, 26 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/beyond-offset-lag-kafka-apache-hudi/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Srikanth Mamidala</dc:creator>
      <dc:date>2026-08-26T09:00:00Z</dc:date>
      <dc:identifier>/articles/beyond-offset-lag-kafka-apache-hudi/en</dc:identifier>
    </item>
    <item>
      <title>Diagrid Catalyst 2.0 Adds Durable and Verifiable Execution for AI Agents</title>
      <link>https://www.infoq.com/news/2026/08/diagrid-catalyst-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/news/2026/08/diagrid-catalyst-ai-agents/en/headerimage/header-1787430272425.jpeg"/&gt;&lt;p&gt;Diagrid Catalyst 2.0 applies Dapr-based recovery, signed workflow history and execution attestation across several agent frameworks. Architects should compare it with framework-native durability and established workflow engines, while evaluating benchmark evidence and operational trade-offs.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>dapr</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 26 Aug 2026 07:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/diagrid-catalyst-ai-agents/?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>2026-08-26T07:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/diagrid-catalyst-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: JDK 27-RC1, OpenJDK JEPs, Jakarta EE, BellSoft, Helidon, Micrometer, Tika 4.0</title>
      <link>https://www.infoq.com/news/2026/08/java-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/java-news-roundup-aug17-2026/en/headerimage/java-news-roundup-image-1787671034283.jpg"/&gt;&lt;p&gt;This week's Java roundup for August 17th, 2026, features news highlighting: the first release candidate of JDK 27; JEP 541 and JEP 540 targeted for JDK 28; the GA release of Apache Tika 4.0; a maintenance release of Helidon; the first milestone releases of Micrometer Metrics 1.18 and Micrometer Tracing 1.8; an update on Jakarta EE 12; and BellSoft Critical Security Patch Updates.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Micrometer</category>
      <category>BellSoft</category>
      <category>JDK 28</category>
      <category>Java</category>
      <category>Helidon</category>
      <category>JDK 27</category>
      <category>Tika</category>
      <category>Open JDK</category>
      <category>Jakarta EE</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 25 Aug 2026 15:20:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/java-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>2026-08-25T15:20:00Z</dc:date>
      <dc:identifier>/news/2026/08/java-news-roundup-aug17-2026/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Continuous Delivery for Foundational Platforms</title>
      <link>https://www.infoq.com/presentations/cd-reliability-innovation/?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/cd-reliability-innovation/en/mediumimage/ian-nowland-medium-1787217621961.jpg"/&gt;&lt;p&gt;Ian Nowland discusses why conventional CI/CD practices break down for stateful, core infrastructure. Drawing from his leadership at AWS and Datadog, he shares actionable techniques for safe progressive deployments, synthetic testing in production, and mitigating blast radius in complex software platforms.&lt;/p&gt; &lt;i&gt;By Ian Nowland&lt;/i&gt;</description>
      <category>Continuous Delivery</category>
      <category>QCon San Francisco 2025</category>
      <category>Scalability</category>
      <category>Transcripts</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>presentation</category>
      <pubDate>Tue, 25 Aug 2026 13:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/cd-reliability-innovation/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Ian Nowland</dc:creator>
      <dc:date>2026-08-25T13:34:00Z</dc:date>
      <dc:identifier>/presentations/cd-reliability-innovation/en</dc:identifier>
    </item>
    <item>
      <title>BMC Vulnerabilities Put Thousands of Servers at Risk of Hardware-Level Compromise</title>
      <link>https://www.infoq.com/news/2026/08/bmc-vulnerabilities/?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/bmc-vulnerabilities/en/headerimage/generatedHeaderImage-1787152274946.jpg"/&gt;&lt;p&gt;Security researchers are warning that thousands of enterprise servers could be exposed to compromise through vulnerabilities in their Baseboard Management Controllers (BMCs) - specialized processors embedded in server motherboards that provide administrators with remote, out-of-band control.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Security Vulnerabilities</category>
      <category>Hardware</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 25 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/bmc-vulnerabilities/?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>2026-08-25T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/bmc-vulnerabilities/en</dc:identifier>
    </item>
    <item>
      <title>Nuxt 4.5: Experimental SSR Streaming, Vite 8 and an Rsbuild-Powered Rspack Builder</title>
      <link>https://www.infoq.com/news/2026/08/nuxt-4-5-streaming/?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/nuxt-4-5-streaming/en/headerimage/generatedHeaderImage-1787647116265.jpg"/&gt;&lt;p&gt;Nuxt has released version 4.5, featuring updates such as a switch to Vite 8, a new Rspack 2 builder, and experimental SSR streaming. This streaming enhances Time to First Byte by flushing the HTML shell instantly. The release also includes a stable error code system and new composables, alongside important upgrade instructions for developers moving from earlier versions.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Vue.js</category>
      <category>JavaScript</category>
      <category>Streaming</category>
      <category>TypeScript</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 25 Aug 2026 11:36:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/nuxt-4-5-streaming/?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>2026-08-25T11:36:00Z</dc:date>
      <dc:identifier>/news/2026/08/nuxt-4-5-streaming/en</dc:identifier>
    </item>
    <item>
      <title>Cursor Releases Origin as an Agent-Native Alternative to GitHub</title>
      <link>https://www.infoq.com/news/2026/08/cursor-origin-alternative-github/?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/cursor-origin-alternative-github/en/headerimage/generatedHeaderImage-1787588546610.jpg"/&gt;&lt;p&gt;AI coding agent Cursor has launched Origin, a git based code hosting platform embedded inside its AI-powered editor, positioning it as an alternative to GitHub for teams that already work in Cursor. Origin is rolling out in early beta on Pro, Teams and Enterprise plans, and lives inside a new Codebase tab within the Cursor application.&lt;/p&gt; &lt;i&gt;By Matt Saunders&lt;/i&gt;</description>
      <category>github</category>
      <category>DVCS</category>
      <category>AI Assisted Coding</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 25 Aug 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cursor-origin-alternative-github/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Matt Saunders</dc:creator>
      <dc:date>2026-08-25T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/cursor-origin-alternative-github/en</dc:identifier>
    </item>
    <item>
      <title>Beyond Embedded: How DuckDB v2.0 Shifts Architecture toward Distributed Network Capabilities</title>
      <link>https://www.infoq.com/news/2026/08/duckdb-v2-distributed/?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;DuckDB Labs has previewed DuckDB v2.0, codenamed "Cyanoptera." This release includes over 10000 commits and introduces a client/server mode, enabling network connections. Improvements also encompass extension portability, advanced data types, and a new parser. Performance enhancements include asynchronous I/O and storage optimisations. General availability is expected in fall 2026.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>Database Design</category>
      <category>duckdb</category>
      <category>In-Memory Databases</category>
      <category>Distributed Data</category>
      <category>Data Analytics</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 25 Aug 2026 06:06:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/duckdb-v2-distributed/?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>2026-08-25T06:06:00Z</dc:date>
      <dc:identifier>/news/2026/08/duckdb-v2-distributed/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Moves AI Governance from Policy to Runtime Enforcement</title>
      <link>https://www.infoq.com/news/2026/08/microsoft-ai-governance/?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/microsoft-ai-governance/en/headerimage/generatedHeaderImage-1786848804302.jpg"/&gt;&lt;p&gt;Microsoft has outlined an AI governance architecture spanning nine governance domains and four functions: policy, control, visibility, and proof. The approach connects policies with runtime enforcement, continuous evaluation, observability, identity, security, and audit evidence to help organizations verify governance requirements as AI applications and agents operate in production.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Governance</category>
      <category>AI Security</category>
      <category>Model Context Protocol (MCP)</category>
      <category>Cloud Foundry</category>
      <category>Compliance</category>
      <category>AI Policy</category>
      <category>API Gateway</category>
      <category>Microsoft</category>
      <category>Observability</category>
      <category>Model Evaluation</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 24 Aug 2026 13:49:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/microsoft-ai-governance/?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>2026-08-24T13:49:00Z</dc:date>
      <dc:identifier>/news/2026/08/microsoft-ai-governance/en</dc:identifier>
    </item>
    <item>
      <title>Article: Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs</title>
      <link>https://www.infoq.com/articles/rightsizing-platform-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</link>
      <description>&lt;img src="https://res.infoq.com/articles/rightsizing-platform-engineering/en/smallimage/rightsizing-platform-engineering-thumbnail-1787296955801.jpg"/&gt;&lt;p&gt;Shift-left and DevOps have impacted how we flow changes from inception to production, but at the cost of increased cognitive load and duplication of effort across testing, security, and maintenance. This article explores the real-world challenges of rightsizing developer platforms and finding a cultural match for engineering teams who use them to reduce cognitive load and deliver change faster.&lt;/p&gt; &lt;i&gt;By John Keates&lt;/i&gt;</description>
      <category>Delivering Quality</category>
      <category>Developer Experience</category>
      <category>Coding Standards</category>
      <category>Artifacts &amp; Tools</category>
      <category>Architecture</category>
      <category>Infrastructure</category>
      <category>Platforms</category>
      <category>Stories &amp; Case Studies</category>
      <category>Platform Engineering</category>
      <category>Culture &amp; Methods</category>
      <category>article</category>
      <pubDate>Mon, 24 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/rightsizing-platform-engineering/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>John Keates</dc:creator>
      <dc:date>2026-08-24T11:00:00Z</dc:date>
      <dc:identifier>/articles/rightsizing-platform-engineering/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: The Human Edge: Why Brownfield Codebases Need Mob Programming, Not Just AI Vibes</title>
      <link>https://www.infoq.com/podcasts/brownfield-codebases-mob-programming/?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/brownfield-codebases-mob-programming/en/smallimage/infoq-podcast-500-1787057874183.jpg"/&gt;&lt;p&gt;Asgaut Mjølne Söderbom and Ola Hast discuss the evolution of their software engineering practices past continuous deployment and pair engineering. The conversation continues where it left off in the previous episode and focuses on the experiments in adopting Claude Code and the reasons why they consider it good for everything else, but not coding.&lt;/p&gt; &lt;i&gt;By Asgaut Mjølne Söderbom, Ola Hast&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>The InfoQ Podcast</category>
      <category>Continuous Improvement</category>
      <category>Team Performance</category>
      <category>TDD</category>
      <category>Continuous Deployment</category>
      <category>Performance</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>podcast</category>
      <pubDate>Mon, 24 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/brownfield-codebases-mob-programming/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Asgaut Mjølne Söderbom, Ola Hast</dc:creator>
      <dc:date>2026-08-24T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/brownfield-codebases-mob-programming/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Prompt to Prod: Engineering an Autonomous SDLC at Scale</title>
      <link>https://www.infoq.com/presentations/autonomous-ai-software-development-roblox/?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/autonomous-ai-software-development-roblox/en/mediumimage/andrew-swerdlow-medium-1787218240356.jpg"/&gt;&lt;p&gt;Andrew Swerdlow shares how Roblox scales autonomous software development from prompt to production. He discusses building robust security sandboxes, extracting institutional knowledge via code review exemplars, updating engineering infrastructure, and redefining productivity metrics around feature velocity and long-running AI turns to achieve trusted, automated deployment at scale.&lt;/p&gt; &lt;i&gt;By Andrew Swerdlow&lt;/i&gt;</description>
      <category>QCon AI Boston 2026</category>
      <category>Productivity</category>
      <category>Code Reviews</category>
      <category>Metrics</category>
      <category>autonomous</category>
      <category>Developer Experience</category>
      <category>Architecture</category>
      <category>Orchestration</category>
      <category>Prompt Engineering</category>
      <category>Platform Engineering</category>
      <category>Transcripts</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Mon, 24 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/autonomous-ai-software-development-roblox/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Andrew Swerdlow</dc:creator>
      <dc:date>2026-08-24T11:00:00Z</dc:date>
      <dc:identifier>/presentations/autonomous-ai-software-development-roblox/en</dc:identifier>
    </item>
    <item>
      <title>JDK 27 and JDK 28: What We Know So Far</title>
      <link>https://www.infoq.com/news/2026/08/java-27-so-far/?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-27-so-far/en/headerimage/java-istock-image-01-1787482494699.jpg"/&gt;&lt;p&gt;JDK 27, the second non-LTS release since JDK 25, has reached its first release candidate phase featuring a final set of nine new features, in the form of JEPs, that can be separated into four categories: Core Java Library, HotSpot, Security Library and Java Language Specification. We examine JDK 27 and predict what features have, or could be, targeted for JDK 28.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>JDK 28</category>
      <category>Java</category>
      <category>Project Amber</category>
      <category>Project Panama</category>
      <category>JDK 27</category>
      <category>Project Leyden</category>
      <category>Project Valhalla</category>
      <category>Project Loom</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 24 Aug 2026 02:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/java-27-so-far/?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>2026-08-24T02:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/java-27-so-far/en</dc:identifier>
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