AI-assisted engineering is easy to measure badly and the usual numbers appear first: active users, accepted completions, generated lines of code, tokens consumed, agent sessions and […]
I have created a broader Draw.io MCP Diagramming Agent Skill for generating clear, structured and editable diagrams across a range of use cases, including cloud architecture, […]
Agent skills are a practical way to capture reusable engineering judgement for AI coding agents, whether that judgement relates to reviewing Terraform, creating architecture diagrams, writing […]
A , , custom instruction file, or MCP configuration can affect how an agent reads a repository, calls tools, writes code, updates infrastructure, or explains a […]
The previous post made the case that AI-assisted engineering is becoming a platform concern. This post is about the follow-up question: what controls actually make that […]
I have added optional animated traffic flows to my Draw.io diagram skill. The rule is simple: only animate a connector when the movement helps explain the […]
One of the easiest mistakes to make with GitHub Copilot Agent Skills is treating them as somewhere to store every useful instruction you have ever written. […]
In this blog post, you will learn how to use GitHub Copilot Agent Skills together with GitHub Copilot Hooks to generate a changelog video using Remotion. […]
Terraform modules usually start with good intentions. A team wants consistency, there is some repeated Terraform, and a shared module feels like the obvious next step. […]
GitHub Copilot CLI is a harness to interact with AI directly from your terminal. By default, it uses the models provided through your GitHub Copilot subscription, […]
The easy part of AI-assisted coding is getting code produced, and that no longer feels like the real bottleneck. What becomes harder, and much more expensive, […]