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Since we first announced TypeID last year, we've seen significant adoption and interest from the community, with 23 different language clients contributed by the community and 90,000 weekly NPM downloads of our Typescript Implementation.
Last week, we released version 1.0 of our Typescript implementation, TypeID-JS. To celebrate this release, we wanted to share more about why we wrote TypeID, and how we use it to ensure type safety at Jetify.
We developed the idea for TypeID while building Jetify Cloud, our solution for deploying and managing Devbox or Docker based projects across your team. Jetify Cloud's architecture has many different entities we need to manage: Orgs, Users, Deployments, Secrets, and Projects, all of which require unique identifiers to distinguish them.
Originally, we started by following best practices and assigning a UUID to each instance of an entity. Still, we quickly ran into a problem: UUIDv7 lacks type safety! Take the code below as an example:
export const getMember = async ( memberId: UUID, orgId: UUID, ) => { const { member, organization } = await authClient.organizations.members.get({ organization_id: orgId, member_id: memberId, }); return { member, organization }; };
This function uses two UUIDs to look up a member and organization. However, the function cannot ensure that memberID and orgID represent the correct entity! If a developer accidentally uses a memberID where we were expecting an orgID, we would only discover the issue at runtime.
As we were looking for solutions to this problem, we encountered Stripe's Object ID, which encodes type information into IDs using a prefix. This seemed like a great solution, but unfortunately, we couldn't find a well-defined standard for consistently implementing typed IDs across multiple languages.
TypeID is our attempt to create such a consistent standard. TypeID is a type-safe, K-sortable, globally unique identifier inspired by Stripe's prefixed types. TypeID also provides a consistent standard for other languages to implement their clients and libraries.
TypeIDs encode unique identifiers as a lowercase string with three parts:
user_2x4y6z8a0b1c2d3e4f5g6h7j8k └──┘ └────────────────────────┘ type uuid suffix (base32)
With this format, a TypeID-compatible client can encode and decode type information into your IDs and then run checks at a build or compile time to ensure you are using the right ID. For example, if we wanted to create a random TypeID for a user entity, we could do something like this:
With TypeID, we can also add type checks to our functions and catch errors at runtime. Rewriting the example above, we can now be sure that developers will use the proper IDs in the right place:
import { TypeID } from 'typeid-js'; export const getMember = async ( memberId: TypeID<'member'>, orgId: TypeID<'org'>, ) => { ... }
In addition to type safety, this format has a few properties that make it friendly for developers to use:
Today, we're announcing version 1.0 of our TypeID-JS library. This update adds several new features to improve usability and type safety, including:
You can add TypeID to your JS project using your NodeJS package manager of choice. Not using JS? TypeID has 26 different implementations, ranging from Go to OCaml to SQL. If you’re interested in writing your own implementation of TypeID, you can check our our formal specification.
Our team at Jetify builds powerful developer tools. Simplify your deployments and projects with Jetify Cloud, or automate onboarding + dev environments with Devbox. You can follow us on Twitter, or chat with our developers live on our Discord Server. We also welcome issues and pull requests on our Github Repo.
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