I Let AI Review My Python Code Every Day

Let’s be honest. We all think we write beautiful, flawless Python. We hit git commit , push to production, and quietly pray that the automated test suite doesn't humiliate us in front of the team. Or worse, we spend hours stuck in a loop on StackOverflow trying to figure out why our script is hogging 90% of the CPU.

A few months ago, I decided to do something a little chaotic. I wrote a Python script that automatically hooks into my local Git workflow. Every time I stage a file, it sends my diffs to an LLM via API, reviews the code against production-grade standards, and spits out a brutal, fluff-free critique before I’m even allowed to commit.

I didn’t do this because I’m lazy. I did it because I’ve been coding in Python for over four years, and I wanted to see if an AI could catch things that my human eyes – weary from staring at VS Code for eight hours straight – completely missed.

The results? It completely changed how I think about debugging. Here is the exact script I use every day, and three subtle bugs it caught that normal linters entirely ignored.