Blogs
Common patterns we see in long-lived, production codebases.
Case Study
I Ran Refactron on Django's Codebase. Here's What It Found.
March 31, 2026
Industry Analysis
Refactron vs Cursor vs CodeAnt: Why "AI Refactoring" Means Three Different Things
March 31, 2026
Product
Why We Built a Verification Engine Before an AI Refactoring Engine
March 31, 2026
Enterprise Software
Improving Maintainability in a Legacy Codebase
January 15, 2025
Case Study
I Ran Refactron on the Requests Library. Here's What It Found.
The Requests library is one of the most downloaded Python packages in existence. Around 15,000 lines of Python — meaning findings are concentrated. Here is what surfaced.
February 15, 2026
Engineering
The Real Cost of Not Refactoring Your Python Codebase
Engineering teams talk about technical debt as if it's a known quantity. In practice most teams don't pay it down. They defer it until the codebase becomes something nobody wants to touch. This is not a discipline problem — it's a risk problem.
March 5, 2026
Case Study
I Ran Refactron on FastAPI. Here's What It Found.
FastAPI is the youngest codebase in this series — modern, well-typed, actively maintained. We're not looking at accumulated legacy complexity. We're looking at what complexity looks like in a well-designed modern Python codebase.
February 20, 2026
Developer Guide
How to Safely Refactor Python Code You Didn't Write
Every developer has inherited code they didn't write. A service built by someone who left the company. A module running in production since 2019 with no tests and no documentation. Here's a practical framework for touching it safely.
March 12, 2026
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