InfoQ Homepage News
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AWS Announces General Availability of DevOps Agent for Automated Incident Investigation
AWS has announced the general availability of DevOps Agent, a generative AI–powered assistant designed to help developers and operators troubleshoot issues, analyze deployments, and automate operational tasks across AWS environments.
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Pulumi Adds Full Bun Runtime Support
Pulumi has announced that Bun is now a fully supported runtime for Pulumi, going beyond its previous role as merely a package manager option. With the new release of Pulumi 3.227.0, developers can set runtime: bun in their Pulumi.yaml and have Bun execute their entire infrastructure program, with no Node.js installation required.
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Effect v4 Beta: Rewritten Runtime, Smaller Bundles and Unified Package System
Effect v4 beta, a TypeScript framework for building applications, features a complete rewrite of its core fiber runtime, offering reduced memory usage and smaller bundle sizes. The new release consolidates ecosystem packages under a single version number and introduces unstable modules for rapid feature development. Migration guides are available for users transitioning from v3 to v4.
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C++26: Reflection, Memory Safety, Contracts, and a New Async Model
The C++26 standard draft is now complete, reports Herb Sutter, long-time C++ expert and former chair of the ISO C++ standards committee. The finalized draft introduces reflection, enhances memory safety without requiring code rewrites, adds contracts with preconditions and postconditions alongside a new assertion statement, and establishes a unified framework for concurrency and parallelism.
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Meta Reports 4x Higher Bug Detection with Just-in-Time Testing
Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in AI-assisted development using LLMs, mutation testing, and intent-aware workflows like Dodgy Diff. It reflects a shift toward change-aware, AI-driven software testing in agentic development environments.
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CNCF Warns Kubernetes Alone Is Not Enough to Secure LLM Workloads
A new blog from the Cloud Native Computing Foundation highlights a critical gap in how organizations are deploying large language models (LLMs) on Kubernetes: while Kubernetes excels at orchestrating and isolating workloads, it does not inherently understand or control the behavior of AI systems, creating a fundamentally different and more complex threat model.
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Anthropic Introduces Agent-Based Code Review for Claude Code
Anthropic has introduced a new Code Review feature for Claude Code, adding an agent-based pull request review system that analyzes code changes using multiple AI reviewers.
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AWS Launches Agent Registry in Preview to Govern AI Agent Sprawl across Enterprises
AWS released Agent Registry in preview as part of Amazon Bedrock AgentCore, providing a centralized catalog for discovering, governing, and reusing AI agents, tools, and MCP servers across organizations. The registry indexes agents regardless of where they run and supports both MCP and A2A protocols natively. Microsoft, Google Cloud, and the ACP Registry offer competing solutions.
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AWS Introduces S3 Files, Bringing File System Access to S3 Buckets
AWS recently introduced S3 Files, which lets users mount an Amazon S3 bucket and access its data through a standard file system interface. Applications can read and write files using standard file operations, while the system automatically translates them into S3 requests, allowing compute services to work directly with data stored in S3.
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Google Opens Gemma 4 Under Apache 2.0 with Multimodal and Agentic Capabilities
Google has announced the release of Gemma 4, a series of open-weight AI models, including variants with 2B, 4B, 26B, and 31B parameters, under the Apache 2.0 license. Key features include enhanced video and image processing, audio input on smaller models, and extended context windows up to 256K tokens.
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Cloudflare Launches Code Mode MCP Server to Optimize Token Usage for AI Agents
Cloudflare has launched a new Model Context Protocol (MCP) server powered by Code Mode, enabling AI agents to interact with large APIs with minimal token usage. The server reduces context footprint across 2,500+ endpoints, improves multi-API orchestration, and provides a secure, code-centric execution environment for LLM agents.
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Platform as a Product: Delivering Value While Balancing Competing Priorities
Software platforms must be treated as products. Success requires balancing engineering, design, usability, security, and value for internal customers and the organisation, Abby Bangser mentioned in her talk Platform as a Product. A product mindset, clear ownership, and continuous investment prevent bottlenecks, platform decay, and wasted effort, enabling scalable, sustainable value over time.
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Cursor 3 Introduces Agent-First Interface, Moving beyond the IDE Model
Anysphere released Cursor 3, a redesigned interface built from scratch that shifts the primary model from file editing to managing parallel coding agents. The new workspace supports local-to-cloud agent handoff, multi-repo parallel execution, and a plugin marketplace. Community reaction has been divided, with developers questioning cost overhead and the move away from Cursor's IDE-first identity.
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OpenTelemetry Declarative Configuration Reaches Stability Milestone
The OpenTelemetry project has announced that key portions of its declarative configuration specification have reached stable status. The observability framework is a vendor-neutral and language-agnostic way to configure telemetry collection.
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Google’s TurboQuant Compression May Support Faster Inference, Same Accuracy on Less Capable Hardware
Google Research unveiled TurboQuant, a novel quantization algorithm that compresses large language models’ Key-Value caches by up to 6x. With 3.5-bit compression, near-zero accuracy loss, and no retraining needed, it allows developers to run massive context windows on significantly more modest hardware than previously required. Early community benchmarks confirm significant efficiency gains.