InfoQ Homepage News
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WSO2 Releases Agent Manager as Enterprises Look to Control Growing AI Agent Sprawl
WSO2 has announced the general availability of WSO2 Agent Manager, an open-source platform designed to provide centralized governance, identity management, security controls, and operational oversight for AI agents running across different models, frameworks, and deployment environments.
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htmx 4.0: a Fetch-Based Rewrite, Built-In Morphing Swaps, and Explicit Attribute Inheritance
htmx 4 has been released, featuring a transition from XMLHttpRequest to the fetch() API, enhancing streaming capabilities. Key updates include built-in morphing swaps for DOM state preservation and an hx-partial tag for cleaner updates. Attribute inheritance is now explicit, with event names standardized. The library maintains focus on minimal JavaScript while remaining popular among frameworks.
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OpenAI Introduces Triage Framework and Case Studies to Report Model Misalignment
OpenAI has released a disclosure framework for model misalignment during its lifecycle. Employees can flag potential issues, prompting technical staff to label incidents. The initial case studies outline unexpected model behaviours, providing insights into deviations from expected parameters. Community reactions show both approval and scepticism regarding transparency and corporate narratives.
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Building an Internal Developer Platform with Artificial Intelligence
Agents are becoming the new developer platform, using semantic search with data from tools like Git, Slack, and Jira for context. Things to consider are setting guardrails to block or allow things, and using logs, metrics, and traces to understand agent behavior.
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Kubernetes Multi-Cluster Project Karmada Reaches CNCF Graduation
The Cloud Native Computing Foundation (CNCF) announced on September 2026 that Karmada, a multi-cluster and multi-cloud Kubernetes orchestration project, has graduated. This multi-cluster and multi-cloud Kubernetes orchestration project reached CNCF's highest maturity tier.
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Repeated VM Escapes By GPT-5.6-Cyber Based Agents Prove VMs and OS' Require Better Maintenance
Traditional virtual machines are inadequate for isolating cyber-capable autonomous agents. Tests using GPT-5.6-Cyber indicated multiple escape attempts due to kernel flaws. While Firecracker provided some containment, vulnerabilities remained. The study underscores the need for minimal attack surface virtualisation technologies and rapid, proactive patching strategies to safeguard host systems.
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TanStack Charts Introduced with a Framework Agnostic Grammar of Graphics for TypeScript
TanStack Charts is a new, framework-agnostic visualization library for TypeScript. It allows developers to create visualizations by composing various elements instead of using fixed chart types. Currently in Alpha, it has about 160,000 weekly downloads. The library supports multiple frameworks and is designed for a variety of environments, though it is not yet stable for production use.
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GPT-6 Astra is the First Model OpenAI Classifies as Critical for Cybersecurity
OpenAI has classified GPT-6 Astra at the Critical cybersecurity threshold under its Preparedness Framework, a first. In expert-led testing the model found previously unknown vulnerabilities in a browser and an OS kernel and built working exploits. The same system card reports a substantial decline in chain-of-thought monitorability.
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Microsoft Open-Sources TauGrid to Simplify AI Workload Management on Kubernetes
Microsoft has open-sourced TauGrid, a cloud-native platform designed to manage, schedule, and monitor AI workloads on GPU-enabled Kubernetes clusters.
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Dropbox Evolves Riviera Content Processing Platform to Support AI Workloads
Dropbox has evolved Riviera from a file preview service into a universal content processing platform supporting more than 300 file formats and over 100 transformation capabilities. Processing hundreds of thousands of transformations per second, Riviera now supports Search, Replay, Sign, and Dash, while its APIs enable asynchronous content extraction for AI and RAG workflows.
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Shopify Drops React Native for Swift and Kotlin as AI Changes Cross-Platform Development Tradeoffs
Shopify recently announced it is abandoning React Native to rewrite its flagship apps in Swift and Kotlin. With the significant jump in the quality of AI models, Head of Mobile Mustafa Ali reassessed Shopify’s commitment to React Native, estimating that the benefit/cost ratio of maintaining native codebases across mobile platforms was now above that of using an abstraction layer.
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Lyft Moves Streaming Fleet to Apache Flink Kubernetes Operator
Lyft has moved hundreds of production Flink jobs from a 2020 in-house Kubernetes operator to the Apache Flink Kubernetes Operator, unlocking last-state upgrades, in-place autoscaling and resource autotuning across the fleet.
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Java 27 Delivers Post-Quantum Cryptography, Future Language Innovation, Helidon 27, JavaFX 27
Oracle has released version 27 of the Java programming language and virtual machine. As the second non-LTS release since JDK 25, the final feature set includes nine JEPs, five of which are still progressing through the preview and incubator stages. This release focuses on strengthening security, future language innovation, and projects under the auspices of the Java Verified Portfolio.
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Dropbox Outlines How Focusing on Existing Infrastructure Efficiency Can Create Headroom for AI
Dropbox has outlined how a decade of infrastructure optimization is helping it absorb growing demand from AI without treating new data-center capacity as the only answer. Its work spans forecasting, fleet utilization, storage density, hardware lifecycles, and rack-level power delivery, much of it predating the current AI boom.
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From Memory-Hungry HNSW to Quantized SPANN: the Technical Evolution of Pinterest's Manas Platform
Pinterest Engineering has enhanced its Manas search platform to manage vast data, improving efficiency in search and discovery functions. By applying Scalar and Product Quantization, memory usage decreased significantly while maintaining high recall rates. The platform utilizes SSDs for optimized performance, and is transitioning to multi-vector models for refined relevance matching.