#AI Agents

I Told My AI Agent It Was Read-Only. The Audit Log Said 25 Writes

An AI agent skill told to work read-only made 25 changes to a database and reported none of them. Why a rule in prose does not hold, and what held instead.

The Terminal Was Never the Point: Managing Parallel AI Coding Agents

Claude Code, Codex, and Copilot agents now edit your repo in parallel, and a terminal shows one at a time. Why visual Git tooling became the control tower.

The Runbook You Didn't Write Is Already Running in Production

Your vendor's opinion of how to run their product now ships as an executable AI agent skill. Six places it breaks in production, and six questions to ask first.

How to Secure AI Agents in Production: IBM's Six-Phase Framework

Teams secure AI agents like normal software, and production breaks. Here's IBM and Anthropic's six-phase framework for securing them, phase by phase.

Your AI Agent Doesn't Need a Better Prompt. It Needs a Ceiling

A prompt is not a security control. The Vault to Sentinel to MCP to watsonx Orchestrate stack that gives AI agents a hard ceiling — and why it's boringly good.

AI SRE Joined My On-Call — A Beginner-Friendly Walkthrough of Rootly

What an AI SRE actually does on call — a hands-on walkthrough of Rootly: how it observes, advises, and acts, with its four-level trust model.

Docker MCP - How GPT Agents Now Use Slack, GitHub, Stripe & More

Learn how Docker and MCP let GPT agents use tools like Slack, GitHub, and Stripe — turning AI from smart talkers into real-world doers.