InfoQ Homepage News
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Moonrepo Releases Moon v2.0 with WASM Plugin Toolchains and Overhauled CLI
Moonrepo has released moon v2.0, its first major update since v1, featuring a plugin-based toolchain system and support for multiple configuration formats including JSON and TOML. The CLI has been restructured, enhancing task inheritance and Docker integration. Notable changes include a shift in architecture and improvements to VCS support.
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Scaling Social Systems in Software Organizations
Fast-scaling teams must rebuild trust and psychological safety as their social systems expand. Intentional, redundant communication across multiple formats can keep everyone aligned. Cross-team rituals, buddy systems, and rotating facilitators can reduce silos by building bridges between teams. Leaders accelerate this by modeling the vulnerability they want to see.
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Pinterest Engineers Eliminate CPU Zombies to Resolve Production Bottlenecks
Pinterest identified and resolved CPU starvation issues that affected machine learning training jobs on its Kubernetes-based platform, PinCompute. The engineers traced the problem to an unused Amazon ECS agent, which caused memory cgroup leaks. By disabling the agent, they stabilised performance. This case illustrates the importance of understanding system defaults for effective troubleshooting.
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Anthropic Traces Six Weeks of Claude Code Quality Complaints to Three Overlapping Product Changes
Anthropic published a postmortem tracing six weeks of Claude Code quality complaints to three overlapping product-layer changes: a reasoning effort downgrade, a caching bug that progressively erased the model's own thinking, and a system prompt verbosity limit that caused a 3% quality drop. The API and model weights were unaffected. All issues were resolved April 20.
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Kubernetes v1.36 Released: Security Defaults Tighten as AI Workload Support Matures
Kubernetes v1.36, released in 2026, includes 70 enhancements focused on security, AI workloads, and API scalability. Key features graduating to General Availability are User Namespaces, Mutating Admission Policies, and Fine-Grained Kubelet API Authorization. The release also addresses workload management and introduces new features for AI resource allocations.
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Anthropic Launches Claude Platform on AWS
Anthropic has announced the general availability of Claude Platform on AWS, a new deployment option that gives AWS customers direct access to Anthropic’s native Claude platform using AWS authentication, billing, and monitoring services.
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Airbnb Implements Context-Aware Identity Model to Support Privacy-First Social Features
Airbnb has redesigned its identity system to support privacy-first social features in Experiences. The platform introduces context-specific profiles that separate global user identity from externally visible profiles, preventing cross-context linkage. The migration leveraged automated auditing, manual validation, and AI-assisted refactoring to enforce correct identity usage across services.
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JEP 533 Tightens Exception Handling in Java's Structured Concurrency for JDK 27
JEP 533, Structured Concurrency, has reached integrated status for JDK 27. It refines exception handling and type safety in its API, particularly focusing on exception flow with a new ExecutionException type. Changes include an updated Joiner interface and a new open overload for easier configuration. The steady evolution signals ongoing development as feedback shapes the API.
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Grafana's Pyroscope 2.0 Makes Continuous Profiling Practical at Scale
Grafana Labs has launched Pyroscope 2.0, a rearchitected open-source continuous profiling database. This version improves storage costs, query performance, and operational complexity. Key changes include single write paths for profiles, stateless query processing, and enhanced capabilities for profiling data. It supports the OpenTelemetry Protocol, aligning with current trends in observability.
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AWS WorkSpaces Now Lets AI Agents Operate Legacy Desktop Applications without APIs
AWS announced that Amazon WorkSpaces can now serve as managed virtual desktops for AI agents in public preview. Agents authenticate through IAM and operate legacy applications via computer vision and input simulation without APIs. Reflex benchmarks show vision agents consume 45x more tokens than API agents.
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GitHub Expands Secret Scanning with General Availability of MCP Server Integration
GitHub has announced the general availability of secret scanning support through its MCP Server, extending automated credential detection and remediation capabilities into AI-assisted and agent-driven development workflows.
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AdonisJS v7 Ships End-to-End Type Safety, Reworked Starter Kits and Zero-Config OpenTelemetry
AdonisJS version 7 introduces end-to-end type safety and reworked starter kits, alongside improved documentation. The release includes 45+ updated packages and three new ones for OpenTelemetry, typed content. It requires Node.js 24, allowing the use of native APIs. The framework emphasizes a convention-over-configuration approach while offering tools for routing, ORM, and authentication.
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Copy Fail and Dirty Frag: Linux Page-Cache Exploits Target Every Major Distribution
Two recent Linux kernel vulnerabilities have been disclosed: Copy Fail (CVE-2026-31431) on April 29, 2026, and Dirty Frag (CVE-2026-43284 and CVE-2026-43500) on May 7, 2026. Both allow local users to gain root access, affecting multiple Linux distributions. These vulnerabilities exploit flaws in the page cache via different subsystems, necessitating immediate patching by affected organizations.
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Cangjie, a New Open-Source Compiled Language with Native Effect Handlers and Algebraic Data Types
Prof. Dan Ghica, who leads the Programming Languages Lab at Huawei’s Edinburgh Research Centre, recently presented Cangjie (CJ), a new application development language that features algebraic data types and effect handlers. The open-sourced language is positioned as a counterpart to Java, Kotlin, or Swift. Cangjie is taught by 80+ universities in China.
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Coder Agents Enable Running AI Coding Workflows on Self-Hosted Infrastructure
Coder Agents is a model-agnostic platform designed to let organizations run AI coding agents on their own infrastructure, rather than relying on cloud-based services. This allows teams to maintain full control over code, data, and execution environments.