I read every Claude Code hook so you don’t have to

When building AI DevKit, I had to look much deeper into different coding agent harnesses. Each one has its own structure, workflow, and mental model. In this post, I’ll share what I learned from digging into Claude Code hooks. Claude Code has 27 hook events. I went through all of them. Most are not worth … Continue reading I read every Claude Code hook so you don’t have to →

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 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 →

AI adoption is not AI maturity

I used to think the hard part was getting people to use AI. Now I think that is only the first step. AI is becoming part of how we write, build, research, design, analyze, and operate. That is a good thing. I use AI heavily myself, and I believe it can meaningfully increase the leverage … Continue reading AI adoption is not AI maturity →

The Illusion of Output

AI makes it easy to produce output. You can generate code, designs, marketing ideas, user flows, or even a prototype in a few minutes. It looks impressive on the surface. It also creates a trap. People start to believe output means productivity. It does not. Output is cheap now. Anyone can create something. The real … Continue reading The Illusion of Output →

Lessons from a Decade of Complexity: Microservices to Simplicity

Microservice architecture has been a topic of many discussions and different opinions among software engineers. A decade ago, microservices were seen as a way to solve all the challenges of building and scaling large systems. Many teams believed it was the future. But now, after seeing how it plays out in real-world situations, many of … Continue reading Lessons from a Decade of Complexity: Microservices to Simplicity →