The Problem with Monolithic Code Structures ⚠️
Monolithic or single-file code structures can lead to several issues:- Difficult Maintenance: Large files with mixed concerns are harder to understand and maintain.
- Poor Readability: Finding specific code segments becomes challenging as the file size grows. An example from personal experience is encountering files extending to lines of code, which can be overwhelming and difficult to manage.
- Name Clashing: In extensive single files, reusing names for functions or components across different contexts can lead to conflicts and confusion, making debugging difficult.
Bad Practice Example 📛
Avoid placing all components, utilities, and types in one large file. For instance, defining multiple modals, utilities, and type declarations in a single file leads to clutter and confusion.Good Practices in Code Splitting 🚀
Modular Component Structure
Organize components into separate files and directories. This improves readability and maintenance.Modal Component Code example 🤓
Example: Modal Component code 👀
Example: Modal Component code 👀
Separate Utilities and Helpers
Place utility functions and helpers in separate files or directories. Example: Utility FunctionDefine Types and Interfaces Separately
For TypeScript or PropTypes in React, define types or interfaces in dedicated files. Example: Type DefinitionsForm Validation in Separate Files
Keep form validations separate, especially when using libraries like Formik or React Hook Form. Example: Form Validation LogicAdditional Examples
- Component Styles: Define styles in separate CSS or SCSS files, or use CSS-in-JS styled components.
- API Calls: Separate API call functions into a dedicated service or API layer.
- Contexts and Hooks: Define React contexts and custom hooks in their own files. Conclusion Adopting a modular code structure by splitting your code into logical and coherent units not only enhances readability and maintainability but also prevents conflicts and encourages code reuse. This approach is essential in collaborative environments and large-scale applications.