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

More agents, same human brain

I have been running multiple coding agents at the same time for a while now. Sometimes I have Claude Code working on one feature, Codex reviewing a plan, Gemini CLI exploring another direction, and another Claude session fixing a smaller issue in parallel. On paper, this sounds like the future of software engineering. One engineer, … Continue reading More agents, same human brain

How my AI workflow evolved from prompts to workflow

About six months ago, my AI workflow was already useful. I had reusable commands. I had predefined templates. I had a decent setup in Cursor and later Claude Code and Codex. It was enough to make AI generate code faster, help me plan, and reduce some repeated prompting. That was already a big step up … Continue reading How my AI workflow evolved from prompts to workflow

AI Coding Agents Explained: Rules, Commands, Skills, MCP, Hooks

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 Explained: Rules, Commands, Skills, MCP, Hooks