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OpenAI Codex Tips: A Practical Guide for Product Managers and Non-Engineers

  I have been using Codex more and more recently. Not in a “look, AI wrote me a todo app” kind of way. More like: I need to ship my actual product, fix real bugs, improve real tests, and not spend my evenings arguing with a robot about why it deleted half of my codebase.
Recent posts

Early game dev: one leap forward, four steps back

  The beginning of development went surprisingly smoothly. My game concept was simple and well understood, so Codex had no problem getting the project started. It created the basic structure in Godot , set up a playable scene and implemented the core rules. Very quickly, I had something resembling the main gameplay screen where I could move balls around the board and see whether the basic mechanics actually worked.

How do you start to vibe code a game?

In this series of posts , I am sharing my experience creating a game from absolute zero as a non-developer and non-designer. In the introductory post , I covered why I picked a game for this experiment. Today, we'll go through the first steps of the process: selecting and setting up the key tools.

Vibe coding end to end series - from idea to published product

My blog's stats are clear: people are interested in practical experiences. Especially when it comes to AI and vibe coding tools. Luckily, that's what I've been doing these past few months - heavily using AI to create a digital product end-to-end. This series will get into all the fancy and stinky details of my process, challenges I've encountered along the way and, of course, the final result accompanied by the cost breakdown.

Quantity turning into quality or a stinking pile of slop?

  Like it or not, lots of people are trying vibe coding. App Store and Google Play are flooded with new apps and games. Product Hunt launches, and domain sales are rising. But is any of it good? And does it matter?

Should AI Agents Have a Conscience?

  Nir Eyal’s Hooked made a huge impression on me. It shaped a large part of how I think about product creation. Not because I wanted to “hook” users at any cost, but because the book made one thing very clear: if you understand how to influence behaviour, you also become responsible for how you use that power.

AI Agents Expose the Failure of Executive Leadership

  An AI agent is like a super obedient engineer. It does whatever you ask. It rarely challenges you. It rarely pushes back. It rarely says: “This is a bad idea.” And if it goes off script, well, that’s probably because your instructions were too vague. Finally, executives got what they always dreamed about: a builder who simply builds.