"Since AI is built in our image, a highly readable and well-structured codebase enhances both human and AI performance. But the benefits go beyond just developers. A composable codebase - where each component is easily accessible and well-documented - also enables non-technical stakeholders to engage more seamlessly in the development process. Maximize Code Reuse One of the biggest cost drivers in software development is rewriting the same code multiple times across different projects."
"This is true even when new features are generated with the assistance of AI. What better way to ensure your AI coding assistant provides suggestions that are efficient and consistent with the rest of your codebase than by having it use the same curated building blocks? Using this approach, an AI coding assistant can suggest new components that are composed of existing components, ensuring consistency and maintainability across your codebase."
A highly readable, well-structured codebase benefits both human developers and AI assistants by improving performance and collaboration. Composable components that are easily accessible and documented let non-technical stakeholders participate more effectively. Reusing curated components prevents repeated rewrites, reducing cost and effort across projects. AI coding assistants that build on existing components produce fewer new lines of code, lowering the risk of bugs and improving maintainability. Documentation and examples increase discoverability and correct usage of components. Building and testing components through CI before integrating ensures a curated collection of reliable, reusable components that speed delivery and raise software quality.
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