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 →

Tokens, Context Windows, and why your AI agent feels stupid sometimes

When an AI coding agent forgot a constraint, drifted halfway through a task, or confidently invented things that never existed, some of our first reactions are that "this model is not good enough". After using Cursor, Claude Code, and other AI coding agents daily for a long time, I changed my mind. When a capable … Continue reading Tokens, Context Windows, and why your AI agent feels stupid sometimes →