Refactoring Aider Code for Production
How to clean up and restructure Aider-generated code. Transform AI-generated prototypes into maintainable production code.
Common Aider code problems
Different Aider sessions produce different styles. The codebase becomes a patchwork of different conventions. Git history is cluttered with many small fix commits from Aider's iterative approach
Refactoring approach
Standardize conventions across the codebase after Aider sessions. Squash related Aider commits into logical changesets. Apply linting and formatting rules uniformly
When to refactor
Not all Aider code needs refactoring. If it works, is secure, and you don't need to modify it, leave it alone. Refactor when: you need to add features and the current structure makes it difficult, bugs keep appearing in the same area of code, or onboarding new developers takes too long because the code is hard to understand.
Refactoring safely
The golden rule of refactoring: behavior stays the same, structure changes. Before refactoring any code, make sure you have tests covering the current behavior (or add them first). Refactor in small steps — change one thing at a time and verify the app still works. Use version control (git) to commit after each successful change so you can revert if something breaks.
Code organization
A well-organized project has a predictable structure where anyone can find what they're looking for. Group files by feature (not by type), keep related code together, and use clear naming. Every file should have a single clear purpose. If you can't describe what a file does in one sentence, it's probably doing too much and should be split.
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Optimizing Aider-Generated Code for Performance
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