"One of the biggest cost drivers in software development is rewriting the same code multiple times across different projects. Bit eliminates this inefficiency by allowing developers to create, share, and reuse independent components across multiple applications. 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. The fewer new lines of code your AI suggests, the less likely it is to introduce bugs or inconsistencies, and the easier it is for other developers to understand and maintain the codebase. For example, the following prompt is given to Bit's integrate AI assistant "Hope AI":"
Readable, well-structured code improves both human and AI performance. Composable components that are easily accessible and documented enable non-technical stakeholders to engage in development. Reusing independent components across applications reduces the cost of repeatedly rewriting code. AI assistants can compose new features from curated components to maintain consistency and lower the risk of bugs. Documentation and examples increase component discoverability and usability. Components are built and tested via integrated CI before joining the codebase to ensure quality. Adopting a component-based platform can reduce costs, accelerate delivery, and improve software quality.
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