Microsoft's Build 2026 security news centers on an agentic AI vulnerability system designed to find real exploitable flaws, ...

GitHub Copilot multi-agent support for VS Code launched at Microsoft Build 2026 alongside Project Polaris, an in-house AI ...

Anthropic’s latest update to Claude Code introduces several new features aimed at improving how developers manage their coding environments. A key highlight is the Agent View, a centralized interface ...

In the last day or so, Microsoft has pushed its latest weekly release of Visual Studio Code, version 1.119. This update focuses on agent-browser interaction, optimized token usage, OpenTelemetry ...

AI agents have fundamentally changed the threat model of AI model-based applications. By equipping these models with plugins (also called tools), your agents no longer just generate text; they now ...

. ├── TS-Bench/ # Benchmark datasets for guardrail model evaluation ├── benchmark/ # Evaluation benchmark of agent safety&security ├── scripts/ # Shell scripts for training/inference ├── src/ # Source ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Amazon Web Services has introduced a managed agent harness in Amazon Bedrock AgentCore that ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

University of Birmingham experts have created open-source computer software that helps scientists understand how fast-moving particles behave when they interact with electromagnetic waves in space.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

One major challenge in deploying autonomous agents is building systems that can adapt to changes in their environments without the need to retrain the underlying large language models (LLMs).

Six months ago, our team tripled from one engineer to three. But our output didn't triple—it exploded. Each of us was running five agents in parallel, opening pull requests faster than we'd ever seen.