Hey there. Let's be honest for a second. How much of your day is spent just… typing Git commands? , , , , then fumbling around in the GitHub UI to open a pull request. It's a necessary part of the job, but it's also a total drag. It breaks your flow, pulls you out of the "zone," & honestly, it's just plain repetitive.

For years, developers have tried to solve this with bash scripts & aliases. And they work, to a point. But they're often rigid, require maintenance, & don't really understand the context of what you're doing. They're a band-aid, not a cure.

But here's the thing: we're living in the age of AI. We have large language models that can write code, explain complex topics, & even act as autonomous agents. So why are we still manually typing out our Git workflow?

Turns out, we don't have to be. I've been diving deep into using AI, specifically Anthropic's Claude, to automate my entire Git process—from creating a branch to writing the commit message & even opening the PR. And it's a genuine game-changer. It’s not just about saving a few keystrokes; it’s about staying in a state of creative flow for longer.

So, buckle up. I'm going to walk you through how you can go from being a Git command-line jockey to an automation maestro, using the power of Claude Code. We'll start with the basics of scripting & then jump into the REALLY cool AI-powered stuff.

Before we leap into AI, it's good to understand the foundation. For a long time, the go-to solution for Git automation has been simple shell scripts. They’re powerful, they’re fast, & they get the job done for basic, repetitive tasks.

A super common one is a script to automate adding, committing, & pushing. Instead of three commands, you run one file. You could have a file that looks something like this: