InfoQ Homepage Agents Content on InfoQ
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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.
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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.
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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.
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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.
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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.
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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.
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Cloudflare Worker Previews: Per-Branch Environments for Workers
Cloudflare has introduced Worker Previews. This feature allows each Git branch to have its own isolated, production-like environment for a Worker. Each environment has a stable URL. It also has its own configuration and unique state for each branch. Plus, there’s scoped observability.
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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.
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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.
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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.
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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.
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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.
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DoorDash Uses Multi Agent LLMs to Clean up 60,000 Feature Flags
DoorDash built a multi-agent LLM system to automate stale feature flag cleanup across more than 60,000 flags and 623 repositories. The workflow combines live experimentation data through MCP, engineer approval, isolated Git worktrees, parallel agents, and automated validation. In an evaluation of 50 flags, 45 produced usable pull requests at an average of 13.8 minutes and $4.79 per cleanup.
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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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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.