AI Coding Agent session compaction with Jev

Most of my coding agent work now runs through more than one agent. A manager agent brainstorms with me, starts an executor, checks on it, and later brings in a reviewer. Sometimes I resume a session the next morning. Sometimes the manager is running on a VPS and I talk to it from Telegram. Every … Continue reading AI Coding Agent session compaction with Jev →

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 →

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 →

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 →

AI Coding Agents: Skills vs Commands vs Plugins vs Hooks Explained

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: Skills vs Commands vs Plugins vs Hooks Explained →

Claude Code vs Cursor

I’ve seen a lot of Cursor vs Claude Code comparisons recently. Most of them try to answer a simple question: which one writes better code? https://twitter.com/codeaholicguy/status/2006021401212256626 After using both tools daily, I think that question misses the point. I don’t see a meaningful difference in code quality between Cursor and Claude Code anymore. Once you … Continue reading Claude Code vs Cursor →