monio VS pony-cause

In order to make our throwing and unsafe APIs into safe data fetching functions, we'll use data types and techniques from the Functional Programming paradigm. In particular, we'll use the fp-ts library (but you can choose the FP library of your choice, e.g. purify, effect, monio, and others).

:::note When using remote APIs, we often have the possibility to generate the types automatically from a JSON schema for REST APIs, from protobuf files for gRPC-based APIs, from a database schema, etc. You might even be using an external API through an SDK that already provides you with all types. In such cases, the creation of specialized Error classes is not mandatory. However, it might still be a good idea to do so to provide application-specific errors rather than bubbling up 3rd-party low-level errors. For such cases, the upcoming Ecma TC39 proposal for Error Cause is useful as it allows to chain errors. Polyfills exist: Pony Cause or error-cause. :::

What a coincidence I just started using this in a project yesterday! I'm using pony-cause as a polyfill since I'm on node 15

I will push this new code to my pony-cause module very soon, just wanted to write this up first 🥳

The impact and cause provides the most value when paired with the other, and that's what Error Cause enables and what Pony Cause is is a ponyfill for and provides helpers for.