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 →

I use AI DevKit to develop AI DevKit features

I built AI DevKit because I wanted a workflow that makes AI coding feel less random and more efficient. But I also know from experience that AI looks great when you demo it. The problem only surfaces when you rely on them to ship something non-trivial. I made a rule for myself. I would use … Continue reading I use AI DevKit to develop AI DevKit features →