A common question that I still see flying around is that: will skills replace MCP? I understand why people ask. Both can extend what an AI agent can do. A skill can include scripts that call APIs, while an MCP server can expose tools that call those same APIs. They can look like two ways … Continue reading MCP vs Skills
Tag: context engineering
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
How to become a 10x engineer with AI
In the previous post, I shared my perspective on the new 10x engineer in the AI era. A modern 10x engineer creates outsized impact by turning unclear problems into safe, shippable outcomes with less friction across the team. AI helps with that, but only if the engineer knows how to use it well. This is … Continue reading How to become a 10x engineer with AI
The new 10x Engineer with AI
The idea of the “10x engineer” has always been a bit controversial. Some people see it as a myth. Some people see it as a harmful label that creates hero culture. Some people have worked with engineers who clearly create much more impact than others, and believe the idea is real. I sit somewhere in … Continue reading The new 10x Engineer with AI
