The Python Hack That Made My Code Review Process 10x Faster

Code reviews are one of the most important parts of software development. They keep our codebases clean, enforce best practices, and make sure nothing slips through the cracks. But let’s be honest — they can also be painfully slow.

When I was leading a project with dozens of pull requests per week, I felt like I was drowning. Each review meant opening files, scrolling through long diffs, and manually checking for the same issues over and over again: inconsistent naming, missing docstrings, duplicate code, and sometimes even unused imports.

I didn’t want to skip quality checks, but I also couldn’t spend hours reviewing every tiny detail. That’s when I turned to Python — and it completely changed how I approached code reviews.

The Pain of Manual Reviews

Most developers reviewing code fall into one of two traps:

1. Spending too much time nitpicking style issues instead of focusing on logic.
2. Skimming quickly and missing subtle bugs.

I wanted to automate the repetitive part of reviews so I could spend my mental energy on design decisions and architecture.

That’s when the idea hit me: what if I had a Python script that flagged common issues before I even…