This review focuses on ensuring robust and type-safe usage of the Axios library in Typescript codebases. Key recommendations include leveraging Axios' built-in type-checking utilities, properly handling Content-Type headers when sending data, and standardizing serialization patterns for complex data types.
This review focuses on ensuring robust and type-safe usage of the Axios library in Typescript codebases. Key recommendations:
Leverage Axios’ built-in type-checking utilities rather than relying on error-prone instanceof checks. Use axios.isCancel() to detect canceled requests instead of manual type checking.
Properly handle Content-Type headers when sending data. Document how Axios automatically manages Content-Type for different data types (e.g. JSON, form data, URL-encoded). Provide clear examples of correct data transformation before sending, such as using URLSearchParams for URL-encoded form data.
Standardize serialization patterns for complex data types like FormData and nested objects to ensure consistent data handling across the codebase.
Following these practices will help ensure your Axios-based APIs remain robust and maintainable when used in applications with varying dependency versions, environments (browser/Node.js), and data formats.
