Writing git commit messages is a huge pain point that no one seems to be talking about—so in this video I fix it with Generative AI. I show you how to build a tiny Python script that grabs your staged changes (via `git diff --cached`) and sends them to Google’s Gemini model to generate a meaningful, specific commit message automatically. We walk through the whole setup: getting an API key from Google AI Studio, installing the `google-generativeai` dependency, setting your API key as an environment variable, and wiring up Gemini Pro in Python. Then I demo it on a real repo (my advanced calculator) where I staged a change adding a `tan` function. Gemini generates a commit message that includes a clear one-line summary plus a body explaining what changed and how to test it—exactly what I want from a high-quality commit. I also talk about easy improvements: prompting for present tense, generating only the summary line, adding a confirmation step to auto-commit, or even expanding this idea to auto-generate PR descriptions. The big takeaway: with ~18 lines of code, you can streamline your workflow and stop wasting brainpower on commit message formatting.