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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>JioHotstar Explains the Distributed Engineering Behind Personalized Ad Requests at Streaming Scale</title>
      <link>https://www.infoq.com/news/2026/08/jiohotstar-ad-decisioning-flow/?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/jiohotstar-ad-decisioning-flow/en/headerimage/generatedHeaderImage-1785711356085.jpg"/&gt;&lt;p&gt;JioHotstar explains the distributed architecture behind its real-time ad request workflow, covering ad decisioning, waterfall tiering, pacing algorithms, latency optimization, and service coordination required to select and deliver personalized advertisements during streaming playback at scale.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Data-Driven Decision Making Series</category>
      <category>Video Codec</category>
      <category>Architecture</category>
      <category>Streaming</category>
      <category>Scalability</category>
      <category>Microservices</category>
      <category>Algorithms</category>
      <category>Decision Trees</category>
      <category>Streaming Video</category>
      <category>Distributed Systems</category>
      <category>Technology</category>
      <category>Low Latency</category>
      <category>Advertising</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Wed, 05 Aug 2026 14:09:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/jiohotstar-ad-decisioning-flow/?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>2026-08-05T14:09:00Z</dc:date>
      <dc:identifier>/news/2026/08/jiohotstar-ad-decisioning-flow/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Automatically Retrofitting JIT Compilers</title>
      <link>https://www.infoq.com/presentations/yk-meta-tracing-jit-compiler/?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/yk-meta-tracing-jit-compiler/en/mediumimage/medium-1784107493357.jpeg"/&gt;&lt;p&gt;Laurence Tratt discusses yk, an open-source meta-tracing JIT compiler framework. He shares how to automatically speed up C-based language interpreters like Lua and MicroPython with minimal, non-invasive code changes. He explains the inner workings of tracing loops, optimizing compiled traces using developer hints, and managing complex deoptimization back to the interpreter.&lt;/p&gt; &lt;i&gt;By Laurence Tratt&lt;/i&gt;</description>
      <category>LLVM</category>
      <category>Virtual Machines</category>
      <category>Java</category>
      <category>Lua</category>
      <category>JIT</category>
      <category>QCon London 2026</category>
      <category>Performance</category>
      <category>Transcripts</category>
      <category>Python</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Wed, 05 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/yk-meta-tracing-jit-compiler/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Laurence Tratt</dc:creator>
      <dc:date>2026-08-05T11:00:00Z</dc:date>
      <dc:identifier>/presentations/yk-meta-tracing-jit-compiler/en</dc:identifier>
    </item>
    <item>
      <title>Ponytail Agent Skill Corrects Its Own Benchmark After Contributor Challenge</title>
      <link>https://www.infoq.com/news/2026/08/ponytail-agent-skill-benchmark/?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/ponytail-agent-skill-benchmark/en/headerimage/generatedHeaderImage-1785737626006.jpg"/&gt;&lt;p&gt;A single-author repo of instruction files, not code, Ponytail passed 44,000 GitHub stars in nine days by making coding agents stop over-building. Its headline claim of 80-94% less code came from a flawed baseline; after a contributor said so, the maintainer rebuilt the benchmark as a real agentic run and published a lower figure of 54%.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Code Quality</category>
      <category>Open Source Projects</category>
      <category>Coding Standards</category>
      <category>Large language models</category>
      <category>Yagni</category>
      <category>Benchmark</category>
      <category>Clean Code</category>
      <category>Refactoring</category>
      <category>Technical Debt</category>
      <category>Software Craftsmanship</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 05 Aug 2026 08:05:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/ponytail-agent-skill-benchmark/?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>2026-08-05T08:05:00Z</dc:date>
      <dc:identifier>/news/2026/08/ponytail-agent-skill-benchmark/en</dc:identifier>
    </item>
    <item>
      <title>SkiaSharp 4.0 Establishes Milestone-Aligned Release Cadence</title>
      <link>https://www.infoq.com/news/2026/08/skia-sharp-4-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/2026/08/skia-sharp-4-release/en/headerimage/header-1670341892423-1785762488191.jpg"/&gt;&lt;p&gt;Microsoft and Uno Platform have released the first stable versions in the SkiaSharp 4 series, beginning with SkiaSharp 4.148.0 and followed shortly afterward by 4.150.0. A 4.151.0 prerelease line is also available, demonstrating the project’s new approach of aligning package versions and release cadence with upstream Skia milestones.&lt;/p&gt; &lt;i&gt;By Edin Kapić&lt;/i&gt;</description>
      <category>Uno Platform</category>
      <category>Mono</category>
      <category>.NET</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Wed, 05 Aug 2026 08:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/skia-sharp-4-release/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Edin Kapić</dc:creator>
      <dc:date>2026-08-05T08:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/skia-sharp-4-release/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: The Five Stages of AI Maturity in Engineering Organizations - Where and Why Teams Get Stuck</title>
      <link>https://www.infoq.com/presentations/ai-sdlc-maturity-framework-bottlenecks/?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/ai-sdlc-maturity-framework-bottlenecks/en/mediumimage/LizzieMatusov-medium-1785314207748.jpeg"/&gt;&lt;p&gt;Quotient CEO Lizzie Matusov explains why soaring AI spend often fails to improve software delivery. She presents a research-backed AI maturity framework designed to help engineering leaders move beyond vanity metrics like token usage, align organizational AI adoption, and address critical bottlenecks across the software development life cycle to deliver measurable business outcomes.&lt;/p&gt; &lt;i&gt;By Lizzie Matusov&lt;/i&gt;</description>
      <category>QCon AI Boston 2026</category>
      <category>Productivity</category>
      <category>Metrics</category>
      <category>Software Engineering</category>
      <category>Software Development Lifecycle</category>
      <category>Frameworks</category>
      <category>Transcripts</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>presentation</category>
      <pubDate>Tue, 04 Aug 2026 16:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/ai-sdlc-maturity-framework-bottlenecks/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Lizzie Matusov</dc:creator>
      <dc:date>2026-08-04T16:00:00Z</dc:date>
      <dc:identifier>/presentations/ai-sdlc-maturity-framework-bottlenecks/en</dc:identifier>
    </item>
    <item>
      <title>Platform Engineering Maturity Emerges as a Key Differentiator for Enterprise AI Success</title>
      <link>https://www.infoq.com/news/2026/08/perforce-maturity-ai-success/?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/perforce-maturity-ai-success/en/headerimage/generatedHeaderImage-1785503078995.jpg"/&gt;&lt;p&gt;Platform engineering maturity is emerging as an important factor in determining whether organizations can turn AI adoption into sustainable operational value, according to Perforce Software's 2026 Platform Engineering Report.&lt;/p&gt; &lt;i&gt;By Craig Risi&lt;/i&gt;</description>
      <category>Artificial Intelligence</category>
      <category>Maturity Models</category>
      <category>Platform Engineering</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 04 Aug 2026 12:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/perforce-maturity-ai-success/?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>2026-08-04T12:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/perforce-maturity-ai-success/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: Microservices Platforms: When Team Topologies Meets Microservices Patterns</title>
      <link>https://www.infoq.com/presentations/microservices-platform-team-topology/?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/microservices-platform-team-topology/en/mediumimage/ChrisRichardson-medium-1785312644032.jpeg"/&gt;&lt;p&gt;Chris Richardson discusses leveraging Team Topologies and internal platforms to accelerate microservices delivery. He explains six key platform patterns - from security and observability to build and deployment - and shares strategies for minimizing cognitive load on stream-aligned teams while avoiding common platform engineering pitfalls.&lt;/p&gt; &lt;i&gt;By Chris Richardson&lt;/i&gt;</description>
      <category>QCon San Francisco 2025</category>
      <category>Microservices</category>
      <category>Platforms</category>
      <category>Transcripts</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Tue, 04 Aug 2026 11:45:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/microservices-platform-team-topology/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Chris Richardson</dc:creator>
      <dc:date>2026-08-04T11:45:00Z</dc:date>
      <dc:identifier>/presentations/microservices-platform-team-topology/en</dc:identifier>
    </item>
    <item>
      <title>eslint-rspack-plugin 5.0.0 Ships as a Pure ESM Package, Aligning with the Rstack Ecosystem</title>
      <link>https://www.infoq.com/news/2026/08/eslint-rspack-plugin-5/?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/eslint-rspack-plugin-5/en/headerimage/generatedHeaderImage-1785692458963.jpg"/&gt;&lt;p&gt;Version 5.0.0 of eslint-rspack-plugin has been released as a pure ESM package, aligning with the Rspack ecosystem and removing its CommonJS build. The plugin continues to integrate ESLint in the build process but may affect build times. Users are advised to consider separate linting commands for efficiency. The project is open source and available via npm.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>JavaScript</category>
      <category>ESLint</category>
      <category>Web Development</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Tue, 04 Aug 2026 07:39:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/eslint-rspack-plugin-5/?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>2026-08-04T07:39:00Z</dc:date>
      <dc:identifier>/news/2026/08/eslint-rspack-plugin-5/en</dc:identifier>
    </item>
    <item>
      <title>Swarm of OpenAI Agents Exploit Artifactory Zero-Day to Escape Sandbox and Breach Hugging Face</title>
      <link>https://www.infoq.com/news/2026/08/openai-huggingface-breach/?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;Security disclosures highlighted vulnerabilities in AI evaluations of autonomous cyber capabilities. Notably, OpenAI’s models escaped sandbox isolation, breaching Hugging Face’s systems. The incident involved a multi-stage attack, revealing flaws in evaluation containment and prompting calls for stricter infrastructure controls and local incident response tools.&lt;/p&gt; &lt;i&gt;By Olimpiu Pop&lt;/i&gt;</description>
      <category>AI Security</category>
      <category>Cloud Security</category>
      <category>Security Incident</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Tue, 04 Aug 2026 06:42:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/openai-huggingface-breach/?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>2026-08-04T06:42:00Z</dc:date>
      <dc:identifier>/news/2026/08/openai-huggingface-breach/en</dc:identifier>
    </item>
    <item>
      <title>Azure and Community Guidelines on Choosing between a Skill or a Sub-Agent</title>
      <link>https://www.infoq.com/news/2026/08/choosing-between-subagent-skills/?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/choosing-between-subagent-skills/en/headerimage/azure-skills-subagents-1785780670625.jpeg"/&gt;&lt;p&gt;In a recent Azure Architecture blog article, Azure lead engineer Kishorekumar Pattabiraman outlines practical criteria for choosing between skills, sub-agents, and other approaches when building AI systems, emphasizing reusability, simplicity, and long-term maintainability.&lt;/p&gt; &lt;i&gt;By Sergio De Simone&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Large language models</category>
      <category>Azure</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 03 Aug 2026 19:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/choosing-between-subagent-skills/?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>2026-08-03T19:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/choosing-between-subagent-skills/en</dc:identifier>
    </item>
    <item>
      <title>Java News Roundup: OpenJDK JEPs, Jakarta EE, GraalVM, TornadoVM, Micronaut, Quarkus, JobRunr, Maven</title>
      <link>https://www.infoq.com/news/2026/08/java-news-roundup-jul27-2026/?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-jul27-2026/en/headerimage/java-news-roundup-image-1785767259108.jpg"/&gt;&lt;p&gt;This week's Java roundup for July 27th, 2026, features news highlighting: OpenJDK JEPs targeted and proposed to target for JDK 28; the GA release of GPULlama3.java 1.0; point releases of Micronaut, Quarkus and JobRunr; a maintenance release of JDKUpdater; the sixth release candidate of Maven 4.0; and the first milestone release of Jakarta Agentic AI 1.0.&lt;/p&gt; &lt;i&gt;By Michael Redlich&lt;/i&gt;</description>
      <category>Micronaut</category>
      <category>TornadoVM</category>
      <category>JobRunr</category>
      <category>JDK 28</category>
      <category>JDKUpdater</category>
      <category>GraalVM</category>
      <category>Java</category>
      <category>Quarkus</category>
      <category>JDK 27</category>
      <category>Open JDK</category>
      <category>Maven</category>
      <category>Jakarta EE</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 03 Aug 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/java-news-roundup-jul27-2026/?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>2026-08-03T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/java-news-roundup-jul27-2026/en</dc:identifier>
    </item>
    <item>
      <title>HubSpot Redesigns JITA Authorization with Rule Engine Architecture</title>
      <link>https://www.infoq.com/news/2026/08/hubspot-jita-rule-engine/?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/hubspot-jita-rule-engine/en/headerimage/generatedHeaderImage-1785708273545.jpg"/&gt;&lt;p&gt;HubSpot has redesigned its Just-In-Time Access (JITA) authorization system using a rule engine architecture. The system evaluates access requests through independent rules organized as a directed acyclic graph, adding structured decision metadata, rule-level observability, and governance workflows to replace complex conditional authorization logic.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Governance</category>
      <category>Metrics</category>
      <category>Business Rules Engines</category>
      <category>Authorization</category>
      <category>Rules Engines</category>
      <category>Workflow / BPM</category>
      <category>Cloud Migration</category>
      <category>Architecture</category>
      <category>RightScale</category>
      <category>Observability</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>news</category>
      <pubDate>Mon, 03 Aug 2026 13:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/hubspot-jita-rule-engine/?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>2026-08-03T13:59:00Z</dc:date>
      <dc:identifier>/news/2026/08/hubspot-jita-rule-engine/en</dc:identifier>
    </item>
    <item>
      <title>Article: Enabling Evolutionary Architecture Through the Preservation of Change Locality</title>
      <link>https://www.infoq.com/articles/evolutionary-architecture-change-locality/?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/evolutionary-architecture-change-locality/en/headerimage/evolutionary-architecture-change-locality-header-1785239081753.jpg"/&gt;&lt;p&gt;Why do simple features suddenly require cross-team negotiations? In this article, explore how boundary drift quietly destroys change locality and increases cognitive load across teams. Learn practical sociotechnical strategies - redistributing mechanics, exposing essential policy, and rehearsing exception paths - to restore domain boundaries and enable a truly evolutionary software architecture.&lt;/p&gt; &lt;i&gt;By Michael Fischer, Nicholas Lawrence, Monica Karekar&lt;/i&gt;</description>
      <category>Leadership</category>
      <category>Sociotechnical Architecture</category>
      <category>Evolutionary Architecture</category>
      <category>InfoQ Certification Program</category>
      <category>Domain Driven Design</category>
      <category>Topology</category>
      <category>Architecture ICSAET</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>article</category>
      <pubDate>Mon, 03 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/evolutionary-architecture-change-locality/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Michael Fischer, Nicholas Lawrence, Monica Karekar</dc:creator>
      <dc:date>2026-08-03T11:00:00Z</dc:date>
      <dc:identifier>/articles/evolutionary-architecture-change-locality/en</dc:identifier>
    </item>
    <item>
      <title>Podcast: WebAssembly on the JVM: Feature Evolution, Performance, and the Transition to Endive</title>
      <link>https://www.infoq.com/podcasts/feature-evolution-performance-transition-endive/?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/feature-evolution-performance-transition-endive/en/smallimage/the-infoq-podcast-logo-thumbnail-1785225703267.jpg"/&gt;&lt;p&gt;Andrea Peruffo discusses the evolution of WebAssembly beyond the browser and its growing role on the server-side JVM. He covers performance advancements in Wasm runtimes, moving from interpreters to efficient JIT compilation, and explores real-world production use cases ranging from edge computing platforms to modular plugin architectures.&lt;/p&gt; &lt;i&gt;By Andrea Peruffo&lt;/i&gt;</description>
      <category>The InfoQ Podcast</category>
      <category>JVM</category>
      <category>Java</category>
      <category>WebAssembly</category>
      <category>Architecture</category>
      <category>Security</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>podcast</category>
      <pubDate>Mon, 03 Aug 2026 11:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/podcasts/feature-evolution-performance-transition-endive/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Andrea Peruffo</dc:creator>
      <dc:date>2026-08-03T11:00:00Z</dc:date>
      <dc:identifier>/podcasts/feature-evolution-performance-transition-endive/en</dc:identifier>
    </item>
    <item>
      <title>Microsoft Agent Framework Harness and Hosted Agents Reach General Availability</title>
      <link>https://www.infoq.com/news/2026/08/agent-framework-harness-ga/?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/agent-framework-harness-ga/en/headerimage/generatedHeaderImage-1785148565256.jpg"/&gt;&lt;p&gt;Microsoft's Agent Framework now ships a supported runtime. Build 2026 brought the Agent Harness, the GitHub Copilot and Claude Agent SDK connectors, and the orchestration patterns to stable release; the harness and Foundry Hosted Agents have since reached GA. The shift is from an SDK for building agents to a governed platform for running them.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>AI Architecture</category>
      <category>Large language models</category>
      <category>Cloud</category>
      <category>Azure</category>
      <category>DevOps</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>Development</category>
      <category>news</category>
      <pubDate>Mon, 03 Aug 2026 10:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/agent-framework-harness-ga/?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>2026-08-03T10:30:00Z</dc:date>
      <dc:identifier>/news/2026/08/agent-framework-harness-ga/en</dc:identifier>
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