InfoQ - Agents
Articles about InfoQ - Agents
Xcode 27.2 Introduces an Agent- and Merge-Friendly JSON Format for Project Configuration
Apple is introducing a new JSON-based format for Xcode project configuration files, replacing the traditional property-list-based format. Available in Xcode 27.2, the new format aims to improve readability, simplify maintenance, and make project configuration easier for AI coding agents to understand and modify. By Sergio De Simone
Cloudflare Introduces CLI for AI Agents, Sunsetting Wrangler
Cloudflare recently launched the open beta of cf, a new open-source, agent-focused command-line interface for interacting with Cloudflare services through a unified CLI. Written in TypeScript, it provides structured output and command discovery to make Cloudflare’s APIs easier for both developers and AI agents. By Renato Losio
Building Reusable Evaluation Frameworks for Agentic AI Products
Susan Chang explains how Elastic transitioned from siloed, ad-hoc AI agent evaluations to a unified, production-grade framework. She discusses balancing LLM-as-a-judge with deterministic rules, bridging Python data science evals with TypeScript production code, and implementing deep tracing to catch regressions across complex RAG and cybersecurity workloads while preserving domain context. By Susan Chang
The Platform Engineering Playbook for Production LLMs
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one. He makes a case for a shared LLM platform with common services like prompt registry & versioning, schema enforcement and token cost attribution by request. By Aditya Mulik
AI Agents Are Disrupting Open Source Security Disclosure
A recent article by Anil Madhavapeddy argues that AI agents can turn publicly available clues about software vulnerabilities into working exploits, reducing the effectiveness of traditional disclosure embargoes in open source projects. The author highlights the need for faster patching and release processes as the time between vulnerability disclosure and exploitation shrinks. By Renato Losio
OpenAI DevDay 2026 Recap for Developers
OpenAI announced a series of product and developer updates at DevDay 2026, including GPT-6.1 Sol, computer use for the Agents API, cloud-based Codex environments, a Decisions API, and new plugin capabilities for ChatGPT. By Daniel Dominguez
Engineering Production Systems for an Agentic Era: QCon San Francisco 2026
QCon San Francisco 2026 will bring together practitioners from Airbnb, OpenAI, Netflix, Honeycomb, and other engineering organizations to share how they are building, operating, and evolving production systems as AI agents take on a larger role. By Artenisa Chatziou
DigitalOcean Managed Agents Brings Managed Cloud Infrastructure to AI Agents
DigitalOcean recently launched DigitalOcean Managed Agents in public preview, offering a managed cloud infrastructure layer for AI agents with isolated microVM runtimes, governed tool access, and serverless AI inference. By Sergio De Simone
Docker Sandbox Kit Spec: Packaging AI Agent Permissions as OCI Images
Docker has announced that it is bringing the Sandbox Kit Specification to the CNCF, aiming to make what an AI agent may access as portable as the agent itself. By Claudio Masolo
Container Apps Express Reaches GA on a Newly Generally Available Sandbox Layer
Microsoft has made Azure Container Apps Express generally available alongside Container Apps Sandboxes, the microVM compute layer it runs on. Express skips environment provisioning and scales to zero, with subsecond startup from prewarmed pools. Custom domains, zone redundancy, Key Vault references, OpenTelemetry and Dapr are not supported. By Steef-Jan Wiggers
Cursor Uses S3 WAL to Scale Git Storage to More than 300 Pushes per Second
Cursor has introduced Continuity, a Git storage architecture that uses an S3 backed write ahead log as the source of truth. The design turns local NVMe repositories into warm caches and separates replica coordination from consistency. Cursor reports linear read scaling with up to 100 replicas and more than 300 pushes per second with S3 Express One Zone in synthetic tests. By Leela Kumili
Context Is the New Code
Patrick Debois discusses how to manage, evaluate, distribute, and observe context using proven software engineering practices. He shares how treating context like code - complete with testing, CI/CD, package managers, and security scanning - enables engineering leaders to reliably scale AI coding agents, maintain control over non-deterministic outputs, and build long-term organizational knowledge. By Patrick Debois
Amazon CloudWatch Omni Extends CloudWatch into the Agent Era
Recently launched, Amazon CloudWatch Omni is an AI-first observability platform designed to monitor, evaluate, and troubleshoot applications and autonomous AI agents in a unified environment. By Sergio De Simone
Docker Cloud Sandboxes Provide a Consistent Sandbox Abstraction Across Laptop and Cloud
Docker Cloud Sandboxes provide secure, hosted execution environments for running AI coding agents on Docker-managed infrastructure. Built on hardware-enforced microVM isolation, the platform provides a consistent execution environment and unified CLI workflows for seamlessly moving workloads from local machines to the cloud. By Sergio De Simone
Beyond Kubernetes at Modal: How to Scale 1 Million Concurrent Sandboxes in Seconds
In a recent article, Colin Weld and Connor Adams, staff engineers at Modal, describe how they rebuilt their sandbox infrastructure from the ground up to support millions of concurrent sandboxes and tens of thousands of sandbox creations per second. By Sergio De Simone
APIs for Agents: Rethinking API Programs in the MCP Era
Jim Gough and Andreea Niculcea explain how Morgan Stanley uses Architecture as Code with CALM to modernize its API program. They demonstrate integrating Model Context Protocol (MCP) and Agent-to-Agent (A2A) communications, enforcing automated governance through deployment gates, and executing zero-downtime platform upgrades to safely scale enterprise AI and agentic workflows. By Jim Gough, Andreea Niculcea
Google Open-Sources AX a Kubernetes Style Orchestrator for Autonomous AI Agents
Google has open-sourced AX, an orchestrator designed for managing autonomous AI agent workloads. AX operates on a runtime, Agent Substrate, treating agents as stateful actors. It provides resource-efficient task suspension and resumption to optimise performance and reduce latency in idle phases. It features a control plane with Kubernetes-style primitives for managing agent tasks and resources. By Olimpiu Pop
The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents
OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he explains the key principles of reliable agent harnesses: establishing explicit state ownership, serializing concurrent state mutations, scoping execution authority, and validating actions at the user-visible edge. By Vinoth Govindarajan
Alibaba Open Sources OpenCodeReview for AI-Assisted Code Review
Alibaba recently open-sourced OpenCodeReview, an AI-powered code review CLI that combines deterministic pipelines for file selection, bundling, and rule matching with an LLM agent for dynamic code analysis. It supports built-in checks for issues such as null-pointer exceptions, thread safety, XSS, and SQL injection. By Renato Losio
Google Agent Development Kit for Kotlin Reaches Feature Parity with Python, Supports On-Device AI
Google has released the Agent Development Kit (ADK) for Kotlin 1.0, a production-ready framework for building AI agents across Kotlin, Android, and JVM/server applications. It brings Kotlin to feature parity with Google's ADK for Python and Java, while adding Android-specific capabilities for on-device and hybrid AI. By Sergio De Simone
Context Engineering at LinkedIn: How We Built an Organizational Context Layer for AI Agents with MCP
Ajay Prakash discusses how LinkedIn overcomes AI agent limitations in large codebases. He explains Contextual Agent Playbooks and Tools - built on Model Context Protocol (MCP) - which serves procedural memory, code search, and runbooks directly to coding agents. Prakash shares architectural details and operational guardrails that deliver a 20% productivity boost with zero loss in reliability. By Ajay Prakash
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. By Ben Linders
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. By Steef-Jan Wiggers
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. By Sergio De Simone