I've been a software engineer for basically my whole life, at least ever since I first taught myself to write HTML code when I was 12 years old, and in the modern era when Artificial Intelligence and Large Language Models are commonplace, I of course have adapted with the times, as I had done before whenever a new paradigm shift in the engineering landscape had come about.

In this modern era of A.I. vibe coded apps that get built and deployed while full of bugs and security holes, which then get trivially hacked in short order and the company's data all leaked online, I thought I'd write a little about how I, a career software engineer since 2008, approach the use of A.I. in my projects.

If you happen to be a junior developer just getting started in this space and relying heavily on A.I. to do most of your job, maybe reading about my approach to A.I. could be helpful to inspire you on a different way of doing it, and help you grow as a self-sufficient developer who uses A.I. only as a tool to automate the tedious parts but without it being a crutch that you rely on too heavily that you couldn't survive without it.