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    <title>InfoQ</title>
    <link>https://www.infoq.com</link>
    <description>InfoQ feed</description>
    <item>
      <title>From Projects to Products: Turning Platforms into Products People Use</title>
      <link>https://www.infoq.com/news/2026/08/platform-products-people-use/?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/platform-products-people-use/en/headerimage/generatedHeaderImage-1785611764573.jpg"/&gt;&lt;p&gt;Having a platform is not enough; the real challenge is ensuring that it is understandable, usable, and actually adopted by its users.  A capability is done when it can be reliably used by others. To evaluate progress, you can ask yourself “Is this being used?” and “Does it reduce friction for users?” This can help align development work with actual user value rather than delivery,&lt;/p&gt; &lt;i&gt;By Ben Linders&lt;/i&gt;</description>
      <category>Architecture</category>
      <category>Topology</category>
      <category>Teamwork</category>
      <category>Collaboration</category>
      <category>Product Development</category>
      <category>Kubernetes</category>
      <category>Developer Experience</category>
      <category>Leadership</category>
      <category>User Experience</category>
      <category>Platforms</category>
      <category>Platform Engineering</category>
      <category>Development</category>
      <category>Culture &amp; Methods</category>
      <category>news</category>
      <pubDate>Thu, 06 Aug 2026 11:59:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/platform-products-people-use/?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>2026-08-06T11:59:00Z</dc:date>
      <dc:identifier>/news/2026/08/platform-products-people-use/en</dc:identifier>
    </item>
    <item>
      <title>Presentation: From ms to µs: OSS Valkey Architecture Patterns for Modern AI</title>
      <link>https://www.infoq.com/presentations/valkey-architecture-patterns/?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/valkey-architecture-patterns/en/mediumimage/ChrisRichardson-medium-1785312951428.jpeg"/&gt;&lt;p&gt;Dumanshu Goyal discusses optimizing data layers for low-latency workloads like AI feature stores. Drawing lessons from NASA's Space Shuttle, he explains how proxy architectures introduce hidden CPU costs, elevated tail latencies, and blast-radius risks. He demonstrates how direct-access Valkey architectures achieve microsecond latency, improve resilience, and slash infrastructure costs.&lt;/p&gt; &lt;i&gt;By Dumanshu Goyal&lt;/i&gt;</description>
      <category>Sharding</category>
      <category>QCon San Francisco 2025</category>
      <category>Patterns</category>
      <category>Transcripts</category>
      <category>Performance &amp; Scalability</category>
      <category>Platform Engineering</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</category>
      <category>presentation</category>
      <pubDate>Thu, 06 Aug 2026 09:34:00 GMT</pubDate>
      <guid>https://www.infoq.com/presentations/valkey-architecture-patterns/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Dumanshu Goyal</dc:creator>
      <dc:date>2026-08-06T09:34:00Z</dc:date>
      <dc:identifier>/presentations/valkey-architecture-patterns/en</dc:identifier>
    </item>
    <item>
      <title>Wiz Discloses CosmosEscape, and Practitioners Debate What Customers Could Have Done</title>
      <link>https://www.infoq.com/news/2026/08/cosmosescape-master-key/?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/cosmosescape-master-key/en/headerimage/generatedHeaderImage-1785835623595.jpg"/&gt;&lt;p&gt;Wiz Research disclosed CosmosEscape, a chain that escaped Azure Cosmos DB's Gremlin sandbox and reached a platform-wide key granting read and write access to every database on the service. Microsoft blocked the entry point within two days but took until July 2026 to remove the key. Practitioners debated shared responsibility and what that rearchitecture actually cost.&lt;/p&gt; &lt;i&gt;By Steef-Jan Wiggers&lt;/i&gt;</description>
      <category>Access Control</category>
      <category>Azure</category>
      <category>Multi-Tenant Data</category>
      <category>Cloud</category>
      <category>Cloud Architecture</category>
      <category>Database</category>
      <category>Security Vulnerabilities</category>
      <category>Multi-tenancy</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 06 Aug 2026 09:21:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/cosmosescape-master-key/?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>2026-08-06T09:21:00Z</dc:date>
      <dc:identifier>/news/2026/08/cosmosescape-master-key/en</dc:identifier>
    </item>
    <item>
      <title>Article: Runtime-Agnostic AI Workflows: A Pattern for Production Durability and Fast Eval Iteration</title>
      <link>https://www.infoq.com/articles/ai-workflow-pattern/?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/ai-workflow-pattern/en/headerimage/header-1785766770921.jpg"/&gt;&lt;p&gt;AI workflows have two needs that trade off directly. Running reliably in production requires persisting and distributing every step so it survives crashes, deploys, and restarts. But that same machinery is what makes runs too heavy for the fast, throwaway loop you need to check an LLM's output quality. The properties that buy durability are the ones that kill iteration speed.&lt;/p&gt; &lt;i&gt;By Mateus Moury&lt;/i&gt;</description>
      <category>Large language models</category>
      <category>Agents</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>article</category>
      <pubDate>Thu, 06 Aug 2026 09:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/articles/ai-workflow-pattern/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=global</guid>
      <dc:creator>Mateus Moury</dc:creator>
      <dc:date>2026-08-06T09:00:00Z</dc:date>
      <dc:identifier>/articles/ai-workflow-pattern/en</dc:identifier>
    </item>
    <item>
      <title>Pods as Workers, Not Agents: Rethinking the Deployment Unit for AI Agents on Kubernetes</title>
      <link>https://www.infoq.com/news/2026/08/pod-deployment-unit-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/pod-deployment-unit-ai-agents/en/headerimage/header-1785763169197.jpeg"/&gt;&lt;p&gt;Running AI agents on Kubernetes raises a key question: should each agent get its own Pod? The kagent project argues no—agents are bursty, short-lived, can spawn subagents, and may wait for human approval, making one Pod per agent wasteful. Agent-substrate adds a control plane to schedule logical “Actors” onto long-lived worker Pods.&lt;/p&gt; &lt;i&gt;By Mark Silvester&lt;/i&gt;</description>
      <category>Cloud Native Computing Foundation</category>
      <category>Cloud Native Architecture</category>
      <category>Agents</category>
      <category>AI Architecture</category>
      <category>Kubernetes</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Development</category>
      <category>Architecture &amp; Design</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Thu, 06 Aug 2026 06:00:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/pod-deployment-unit-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>2026-08-06T06:00:00Z</dc:date>
      <dc:identifier>/news/2026/08/pod-deployment-unit-ai-agents/en</dc:identifier>
    </item>
    <item>
      <title>Vercel Labs Ships Zero: A Graph-First Language Built So Agents Write the Code</title>
      <link>https://www.infoq.com/news/2026/08/vercel-ships-zero-ai/?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;Vercel Labs has introduced Zero, an experimental systems programming language aimed at AI rather than human users. It employs unique features like a specific toolchain contract and structured error messages. Reaching version 0.3.4, it compiles to native binaries for major operating systems. The language prioritizes size, speed, and agent usability, though it is still in development.&lt;/p&gt; &lt;i&gt;By Daniel Curtis&lt;/i&gt;</description>
      <category>Agents</category>
      <category>Web Development</category>
      <category>Rust</category>
      <category>Go Language</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>news</category>
      <pubDate>Thu, 06 Aug 2026 05:51:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/08/vercel-ships-zero-ai/?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>2026-08-06T05:51:00Z</dc:date>
      <dc:identifier>/news/2026/08/vercel-ships-zero-ai/en</dc:identifier>
    </item>
    <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>Low Latency</category>
      <category>Streaming Video</category>
      <category>Distributed Systems</category>
      <category>Video Codec</category>
      <category>Technology</category>
      <category>Advertising</category>
      <category>Architecture</category>
      <category>Algorithms</category>
      <category>Microservices</category>
      <category>Data-Driven Decision Making Series</category>
      <category>Decision Trees</category>
      <category>Streaming</category>
      <category>Scalability</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>Lua</category>
      <category>JIT</category>
      <category>QCon London 2026</category>
      <category>Java</category>
      <category>Virtual Machines</category>
      <category>LLVM</category>
      <category>Performance</category>
      <category>Transcripts</category>
      <category>Python</category>
      <category>Development</category>
      <category>Architecture &amp; Design</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>Coding Standards</category>
      <category>Refactoring</category>
      <category>Technical Debt</category>
      <category>Open Source Projects</category>
      <category>Yagni</category>
      <category>Benchmark</category>
      <category>Large language models</category>
      <category>Clean Code</category>
      <category>Agents</category>
      <category>Code Quality</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>.NET</category>
      <category>Mono</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>Software Development Lifecycle</category>
      <category>QCon AI Boston 2026</category>
      <category>Metrics</category>
      <category>Productivity</category>
      <category>Software Engineering</category>
      <category>Frameworks</category>
      <category>Transcripts</category>
      <category>Development</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>Architecture &amp; Design</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>AI, ML &amp; Data Engineering</category>
      <category>DevOps</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>Microservices</category>
      <category>QCon San Francisco 2025</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>ESLint</category>
      <category>JavaScript</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>Cloud Security</category>
      <category>Security Incident</category>
      <category>AI Security</category>
      <category>AI, ML &amp; Data Engineering</category>
      <category>DevOps</category>
      <category>news</category>
      <pubDate>Tue, 04 Aug 2026 06:42:00 GMT</pubDate>
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      <dc:creator>Olimpiu Pop</dc:creator>
      <dc:date>2026-08-04T06:42:00Z</dc:date>
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