How I run AI coding agents as a team with AI DevKit

I spend most of my time in the AI DevKit agent console. I start one agent as the manager, usually Codex, and brainstorm with it. Once an idea becomes concrete enough to execute, I ask the manager to create another agent and hand off the work. That executor might run in Codex, Claude Code, Pi, … Continue reading How I run AI coding agents as a team with AI DevKit →

A practical roadmap to learn agentic engineering

A lot of engineers want to learn agentic engineering now. I think many of them are starting from the wrong end. They jump straight into MCP, multi-agent systems, autonomous workflows, and every shiny demo on X. It looks exciting and also feels like the future. But for most engineers, that is not the right place … Continue reading A practical roadmap to learn agentic engineering →

AI Coding Agents: Skills vs Commands vs Plugins vs Hooks Explained

If you are an engineer today, the challenge is no longer whether AI can help you write code. The challenge is the flood of tools and concepts. Every few weeks, there is something new. Agents, rules, skills, sub-agents, MCP, hooks. Each introduces its own vocabulary, and most explanations jump straight into features without explaining why … Continue reading AI Coding Agents: Skills vs Commands vs Plugins vs Hooks Explained →