Our teams developing in TypeScript are finding io-ts invaluable, especially when interacting with APIs that ultimately result in the creation of objects with specific types. When working with TypeScript, getting data into the bounds of the type system (i.e., from the aforementioned APIs) can lead to run-time errors that can be hard to find and debug. io-ts bridges the gap between compile-time type checking and run-time consumption of external data by providing encode and decode functions. Given the experiences of our teams and the elegance of its approach, we think io-ts is worth adopting.
We've really enjoyed using TypeScript for a while now and love the safety that the strong typing provides. However, getting data into the bounds of the type system — from, for example, a call to a back-end service — can lead to run-time errors. One library that helps solve this problem is io-ts. It bridges the gap between compile-time type-checking and run-time consumption of external data by providing encode and decode functions. It can also be used as a custom type guard. As we gain more experience with io-ts in our work, our initially positive impressions are confirmed, and we still like the elegance of its approach.
We've been really enjoying using TypeScript for a while now and love the safety that the strong typing provides. However, getting data into the bounds of the type system, from say a call to a back-end service, can lead to run-time errors. One library that helps solve this problem is io-ts. It bridges the gap between compile-time type-checking and run-time consumption of external data by providing encode and decode functions. It can also be used as a custom type guard. According to our teams, it's an elegant solution to a rascal of a problem.
