react-in-out-textarea VS io-ts

Multiple projects right now:

- https://getworkrecognized.com — A platform to keep a work journal/brag document/work diary and create self-reviews or promotion writeups based on your notes // Currently trying to find motivation to make onboarding nicer incl. free trial instead of paid to get more users and initial feedback; I guess partly because of that tool i got promoted to senior level recently soo wohooo

- https://caseconverter.pro/app — A simple case converter on the web, guesses the type you want to convert into with a neural net (i know i could have used just statistical approaches lol) // Open sourced some components: https://github.com/igeligel/react-in-out-textarea and the text conversion soon™ - will launch on Product Hunt soon

- https://linkedium.com — A LinkedIn post scheduling app, planning to make it a bigger growth tool with insights on what kind of content performs well. Kind of like some analytics + social media scheduler for personal profiles but also company pages

Qué rico. Si tenés chance meté un proceso de code review fuerte, y para el tema de I/O probá a usar https://github.com/Effect-TS/schema ó https://github.com/gcanti/io-ts que les da una solución obvia al tema de "tipos para lo que devuelva el backend", aunque es en realidad mucho más capaz que eso.

My fave is still io-ts (https://github.com/gcanti/io-ts/blob/master/docs/index.md) as I find it more flexible than zod at the ingress. The author is also working on the Effect ecosystem which also looks interesting.

I’ve been using io-ts for this and been very happy with it. [1] It’s similar to Swift’s Coding protocol in case you’re familiar.

[1] https://gcanti.github.io/io-ts/

Yeah, there are a few new concepts and it's not the easiest to pick up right away. The best introduction is here on the main documentation page.

We use https://github.com/gcanti/io-ts/blob/master/Decoder.md which has a very similar interface. It can even be used to mutate the data using https://github.com/gcanti/io-ts/blob/master/Decoder.md#the-parse-combinator.

A good way to significantly improve the reliability of your app is via improving type-safety by moving away from using any to unknown. One relevant example could be when you type your backend responses and when stringifying JSON to using unknown combined with some sort of runtime type checking. It can be done either by using built-in functionality like type guards or using an external library like io-ts, zod or yup.

Usage of TypeBox is similar with io-ts and zod, but it is much powerful and faster than them. Also, TypeBox can generate JSON schema very easily. Therefore, if you're looking for a validator library for new project and not suffering from legacy codes, I think TypeBox would be much better choice than io-ts and zod. TypeBox can totally replace them.

This check can be done with different libraries like: io-ts, typebox, or zod. These libraries allow you to create objects that represent your typescript definitions. Then, these objects can be used at runtime to validate the received data, in addition, you can also convert this object to a Typescript definition to have all the benefits of using typescript. These objects can be called schema validations because they are responsible for the data validation.