InfoQ Homepage Agents Content on InfoQ
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Google Launches Colab CLI for Developers, Automation, and AI Agents
Google has announced the Google Colab CLI, a command-line tool that allows developers and AI agents to interact with remote Colab runtimes directly from a local terminal.
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Pinecone Brings AI Agents Directly to Enterprise Data with Microsoft OneLake Integration
Pinecone has announced a new integration between its Nexus knowledge engine and Microsoft OneLake, aiming to fundamentally change how enterprise AI agents access and reason over corporate data.
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Run Untrusted AI Agent Code Safely with Azure Container Apps Sandboxes
Microsoft has announced the public preview of Azure Container Apps Sandboxes. This new ARM resource type is Microsoft.App/SandboxGroups, runs untrusted code generated by agents in hardware-isolated environments. Each sandbox starts from an OCI disk image in less than a second. It can scale to thousands of instances at once and costs nothing when idle.
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Microsoft Foundry Adds Runtime, Tooling, and Governance for Production Agents
Microsoft used their Build 2026 event to announce new functionality for Microsoft Foundry. Citing Foundry as "the place where AI agents move from experiments to production systems," in a blog post, Nick Brady writes that the release brings “runtime, tools, memory, grounding, models, observability, and governance” that developers need for production agents, rather than just new model endpoints.
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Gemma 4 12B Enables On-Device, Multimodal Agentic Workflows with an Encoder-free Architecture
Google says Gemma 4 12B is "designed to bring agentic, multimodal intelligence directly to your laptop", further noting that the new model can be combined with Google AI Edge to "build and experiment locally, on everyday machines". This integration allows for a wide range of capabilities, from autonomous data processing to generating visual insights and even building webpages or executing tools.
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How OpenAI Built a Secure Windows Sandbox for Codex Agents
OpenAI details Codex Windows sandbox architecture, showing how SIDs, ACLs, restricted tokens, and dedicated sandbox accounts enable safe execution of autonomous coding tasks. The design balances isolation with real developer workflows and shows how OS security primitives must be composed for AI agents on local development environments.
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Google LiteRT-LM Speeds up Local Inference up to 2.2x with Gemma 4 Multi-Token Prediction
LiteRT-LM brings native support for Gemma 4 Multi-Token Prediction (MTP) drafters, enabling up to 2.2x faster inference. The framework is expanding beyond Kotlin and C++ adding support for new Swift and a JavaScript APIs.
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Claude Code Adds Dynamic Workflows for Parallel Agent Coordination
Anthropic introduced Dynamic Workflows, a new capability for Claude Code designed to handle complex software engineering tasks by coordinating large numbers of AI agents within a single workflow. The feature allows Claude to dynamically create orchestration scripts, break work into subtasks, run them in parallel, and validate results before presenting a final answer.
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BadHost Vulnerability Exposes AI Agents, Evaluators, and LLM Gateways
BadHost is a high-severity authentication bypass vulnerability in the widely used Python web framework Starlette, with 325 million weekly downloads. The flaw allows attackers to use malformed HTTP Host headers to bypass path-based access controls and access sensitive AI agent infrastructure, among other systems.
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Arm Open-Sources Metis, an AI Security Framework Outperforming Traditional SAST Tools
Arm has open-sourced Metis, an agentic AI security framework designed to autonomously uncover complex software vulnerabilities. Unlike traditional pattern-based tools, Metis applies semantic reasoning to analyze cross-component dependencies and provides clear, natural language explanations for its findings.
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Cloudflare Adds Support for Claude Managed Agents
Cloudflare recently added support for Claude Managed Agents, allowing developers to run and manage Claude agents within Cloudflare. Developers can connect agents to private systems, choose their runtime environment, and monitor agent activity using Cloudflare services.
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Azure Logic Apps Adds Sandboxed Code Interpreters to Agent Workflows
Microsoft added sandboxed code interpreters to Azure Logic Apps, enabling agents within integration workflows to generate and execute Python, JavaScript, C#, and PowerShell in Hyper-V isolated sessions. Architects get full control over model selection per workflow. The capability positions Logic Apps as an agent platform for integration alongside Foundry and Copilot Studio.
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Sarang Kulkarni on Lessons from Building Deep Research Agents in Production
Deep Research Agentic Systems are AI Agents designed to conduct multi-step research for complex tasks using dynamic reasoning, multi-hop information retrieval, and generate structured analytical reports. Sarang Kulkarni from Thoughtworks spoke at Arc of AI Conference 2026 on how to deploy multi-agent research systems for deep reasoning, and the lessons learned from developing Deep Research Agents.
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Gemma 4 Multi-Token Prediction Delivers up to ~3x Faster Token Generation
Gemma 4 can be paired with multi-token prediction (MTP) drafters that use speculative decoding to generate multiple tokens in parallel, allowing the model to verify them in a single pass and achieve up to ~3× faster inference without quality loss.
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AWS MCP Server Reaches GA with Full API Coverage and IAM-Based Governance
AWS has recently made its managed Model Context Protocol (MCP) server generally available, giving AI coding agents controlled access to AWS APIs, documentation, and operational workflows through a standard interface. It provides a safer and more auditable way to connect AI agents to AWS services without handing over broad credentials.