AI code often creates monolithic

Short summary

AI prioritizes immediate correctness over architectural sustainability when generating code, leading to monolithic components and repeated utility classes. This stems from competing optimization functions: AI maximizes response success within context limits, while senior engineers design for five-year maintainability. The post outlines a five-step refactoring framework to teach AI better code organization practices.

• •AI optimizes for immediate correctness, not long-term code quality
• •One-file approach avoids dependency and import complexity that AI struggles with
• •Developers can teach AI better practices through structured refactoring prompts

Generated with AI, which can make mistakes.