Claude Code Is Great

A year ago, if you had asked me about AI, I would have laughed it off as hype. “Can’t do anything real,” I would have said. And in my defense, I had tried. I played with large language models (LLMs), tested their ability to write code, asked them to spin stories, and the results were… uninspiring. Broken code. Flat narratives. It all felt like smoke and mirrors.

But things have changed. Two things, actually. First, the models themselves and the tooling around them have gotten dramatically better. Second—and more importantly—I learned how to use them effectively. And that’s the real lesson: using LLMs is a skill. In 2026, it’s a skill we all need.

The Tool Wasn’t the Problem

Let’s get one thing out of the way. I will never put my name on an article, story, course, or anything else written by AI without disclosure. This post is 100% hand-written by me. The image? That’s from NanoBanana.

But here’s the truth: when I first tried Claude, GPT, Gemini, and a handful of no-code AI sites, they all sucked—for me. The outputs were clumsy, the workflows frustrating. And yet, the problem wasn’t the tool. It was me. Or more specifically, my lack of skill with the tool.

Think of it like picking up a violin. Hand it to someone who’s never played, and the sound will be awful. Hand it to a trained musician, and it can move an audience to tears. Same violin, different skill.

Learning to Collaborate With AI

The turning point came when I stopped treating AI like a vending machine—press a button, get brilliance—and started treating it like a collaborator. That meant:

• Iterating prompts instead of expecting perfection on the first try.

• Combining outputs with my own judgment, editing, and domain knowledge.

• Building workflows where AI handles the repetitive or exploratory parts, while I focus on the creative and strategic decisions.

Once I shifted my mindset, Claude Code and other LLMs became powerful accelerators. Not replacements for thinking, but amplifiers of it.

Why This Matters in 2026

We’re at a point where knowing how to code, analyze data, or write well is still essential—but knowing how to collaborate with AI is just as critical. It’s not about hype anymore. It’s about productivity, creativity, and leverage.

The people who dismiss AI as “still not that good” are often the ones who haven’t yet learned how to use it well. And that’s fine—it took me a while too. But once you cross that threshold, the possibilities open up fast.

Final Thought

This isn’t “The Ultimate Guide to Claude Code” and I won’t promise to “10X Your Productivity in Three Easy Steps.” What I will say is this: AI is a tool, and like any tool, it rewards skill. The sooner we treat it that way, the sooner we stop being frustrated and start building things that matter.