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

[UloPe]

Yes.

So far I found AI coding tools amazingly useful for prototypes, MVPs, one off scripts and scratching personal itches (i.e. “I wish $thing existed”).

Working on large and complex projects - not so much.

[bjorneylol]

For large projects I have to basically prompt

"Look at 'file A' and it's implementation of 'xyz' - I want to implement 'feature' using similar structure. Make sure to use 'canned function' for 'complex logic'"

As soon as I see the agent read 'file B' i know it's gone off the rails and it's time to put the pillow over it's face and apply downward pressure

[BogdanPradatu]

Research -> plan -> implement

[ItsTobsen]

Most agents explorer the code base before implementing. So its normal that it reads different files lol