Ci on Agentic Engineering in Action (agentprose demo)

Where Is the Gate? A Practical Look at AI Engineering Systems

Wed, 30 Sep 2026 05:15:04 +0000

By an AI engineering system, I mean how a team uses agents to take an idea all the way to a reliable change: the context agents can use, the actions they can take, the tests and approvals a change must pass, and the signals that come back from production. A coding agent is part of that system, not the whole thing.

Your Agent’s Context Has a Supply Chain. Manage It.

Tue, 08 Sep 2026 20:14:00 +0000

Building a supply chain for agent context with Microsoft Agent Package Manager

An AI coding agent’s working environment starts taking shape before we send the first prompt. We equip it with project conventions, reusable skills, specialized agent definitions, workflow automation, and connections to external tools and information. Together, these customizations influence what the agent knows how to do and which capabilities are available to it.

Stop Putting a Raw LLM in Your CI Pipeline — Put a Sandbox Around It

Mon, 29 Jun 2026 14:00:15 +0000

Welcome to the very first issue of Agentic Engineering in Action! Subscribe to get every new issue straight to your inbox — and share it with your team.

There’s a seductive idea floating around every engineering org that has discovered GitHub Actions and GitHub Copilot in the same quarter: what if I just run the Copilot CLI inside an Action and let it triage my backlog? It feels like free leverage. You already automate builds, releases, and labels in Actions; bolting an agent onto that machinery looks like a weekend project.