Software Development

Developers are using AI tools like Cursor, Claude Code, GitHub Copilot, and Codex every day. But most are doing it wrong. Here’s what you need to understand: Your job is not to let the AI write code. Your job is to stay in control of the change. The Problem Yes, AI coding tools are really good now. You can literally say “add authentication” or “fix this error,” and it will do something. It will fix the problem. That’s great. ...

The Setup About a month ago, I installed Claude Code on my son’s computer. By the way, I gave him a Linux computer. To be honest, I opened the terminal, installed Claude Code, and now he’s using it. I thought, “Okay, it will be cool. He’ll make some simple games; some HTML, JavaScript, and that’s it.” The 30 Games Surprise In the last 30-40 days, he coded more than 30 web games with HTML and JavaScript. ...

I want to talk about an exciting research paper that has been on my list since its release last month. I finally had the opportunity to dive deep into it, and I believe this represents a fundamental shift in how AI understands code. What Are Code World Models? Let’s start with the basics and some impressive numbers. Meta’s Code World Model is an open weights large language model with 32 billion parameters. It features a dense, decoder-only architecture with a 131K token context size. While these specifications are noteworthy, the truly exciting aspect lies in what this model actually does. ...

People say, “I am vibe-coding. Therefore, I am a software engineer.” This is like saying, “I can ride a bike, so I can drive a car.” Both have wheels. Both can move forward, right? Here’s what I’ll say: try merging onto a highway on a bicycle. You’ll learn fast what’s missing. Mapping the Territory Today I want to place vibe-coding, coding, regular coding, and software engineering onto the same map. So you’ll know when to pedal and when to drive. ...

At the heart of both philosophy and computer science lies a single, crucial question: How do we build a model of the world? Plato and Aristotle approached this question from completely opposite directions, and their answers map almost perfectly onto modern programming and machine learning approaches. Plato’s Perfect Forms in Your Code Plato believed everything we see is an imperfect copy of a perfect, unchanging form. Take a circle you draw on paper, according to Plato, it’s just an imperfect representation of a perfect circle that exists as an abstract form, with exact mathematical properties no physical circle can fully achieve. ...

Most developers ask AI tools to write a function or fix a bug. That’s fine, but here’s the cheat code I discovered: treat AI like a developer on your team. When I do that, everything changes. The Pattern I Discovered I use AI tools every day in my professional work and personal projects. Claude, ChatGPT, Gemini; I subscribe to all of them. Over time, I’ve noticed a pattern. These tools excel at zooming in. By that, I mean they’re excellent at specific tasks: generating code, writing tests, refactoring functions, etc… . We all know this. ...