First Impressions: Building with Claude Code

I spent the past week inside Claude Code instead of a normal chat window, and it broke a habit I didn’t know I had.

With ChatGPT or a typical AI assistant, the workflow is copy, paste, edit, repeat. You describe a problem, get a code snippet back, paste it into your editor, run it, hit an error, paste the error back in, get another snippet. Useful, but slow, and you’re the one gluing every step together.

Claude Code skips the glue. It runs in your terminal, reads your actual project files, writes and edits code directly, runs your tests, and fixes what breaks. You describe the outcome you want. It works through the steps to get there.

What that looks like in practice

I asked it to add a new page to a site I was building. It read the existing layout files first, matched the styling conventions already in the codebase, wrote the new page, then ran the build to confirm nothing broke. No copy-pasting. No explaining what “existing styling conventions” meant. It just looked.

That’s the part that stood out. The tool understands context instead of requiring you to spell it out.

Why this matters beyond the demo

Most AI coding tools are impressive in isolation and frustrating in a real codebase. You show them one file, and they write code that ignores the other forty files around it. Claude Code works because it can see the whole project, not just the piece you happened to paste in.

The gap between “AI that writes code” and “AI that builds software” is bigger than most people think. Claude Code is the first tool I’ve used that’s actually on the right side of it.

That gap is where most of the friction in AI-assisted development has been living. Writing a function is easy. Writing a function that fits correctly into an existing system, follows its patterns, and doesn’t quietly break something three files away is the actual job. That’s the part tools have historically been bad at, and it’s the part Claude Code handles differently.

I don’t think this replaces engineering judgment. Someone still has to decide what to build, review what came back, and catch the cases where the tool guessed wrong. But the amount of mechanical work between “I know what I want” and “it exists and runs” just got a lot smaller.

If you’re running a business and wondering whether AI tools like this are relevant to you, not just to developers, they are. I build client systems with this workflow now, and it’s part of why projects that used to take weeks take days. If you want to see what that actually means for your business, book a call and I’ll walk you through it.