I’ve been watching the AI tools landscape explode over the past couple of years, and honestly, it’s been both exhilarating and exhausting. Every week there’s a new “game-changing” platform that promises to revolutionize how we work. But here’s the thing that’s been bugging me: we’re still talking about these tools the wrong way.

Someone recently shared a project that maps 137 AI tools and their actual connections – not just another directory, but a visual graph showing how these tools integrate with each other in real workflows. Twenty-five complete workflows, from podcast production to SEO content pipelines, showing exactly which tools feed into which at each stage. The whole thing runs in your browser, no login required, completely free.

The tech world is buzzing with another bold claim about AI coding assistants. This time, it’s about Cursor apparently churning out a billion lines of “accepted” code daily. Reading this while working on a legacy codebase migration project at my desk in South Melbourne, I had to pause and reflect on what this really means.

Numbers can be deceiving, especially in software development. Back in my early career days, I remember the misguided pride I took in writing hundreds of lines of code daily. Now, with decades of experience under my belt, I take far more satisfaction in deleting unnecessary code than adding new lines.