As AI coding assistants become integrated into development workflows, the design of your codebase should prioritize readability and maintainability to optimize their performance.
An optimal AI coding assistant should produce code suggestions that are efficient, contextually relevant, and easy to understand, aiding developers in writing better code faster.
The quality of an AI assistant's suggestions hinges on the readability of the codebase, underscoring the importance of codebase design in facilitating effective AI interactions.
By utilizing Bit for your component-based architecture, developers not only enhance code maintainability but also enable AI systems to efficiently use existing modules for suggestions.
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