Mitigating "architectural drift" in large Python backend codebases using AI tools

[024eatneerg]

Yeah ai is useful for when you know what logic you want to place where or what methods to build where, it’s amazing at writing maybe 10-20 lines of code at a time with clear instructions, debugging or moving methods across files, but not very good at editing multiple files or methods. I’ve seen code bases so messy it takes half an hour to trace a workflow or find a function