Zodmint + Data: schema-valid generation meets collection querying

[gonll]

Zodmint + Data: schema-valid generation meets collection querying

Hey everyone! The maintainer of Data reached out after seeing Zodmint, and it sparked a conversation worth sharing here.

What Zodmint does

Zodmint generates test fixtures that are guaranteed to pass schema.safeParse(output).success === true. You hand it a Zod schema, it walks the type tree, resolves constraints, applies semantic field inference (a field named email gets a valid email, etc.), and returns a fully typed z.infer<typeof schema> value. No faker, no manual factories, no silent invalidity.

How it pairs with Data

The two libraries sit at different layers and compose naturally:

const users = new Collection({ schema: UserSchema })
await users.createMany(10, () => mock(UserSchema))

Data manages the store and gives you the querying API. Zodmint seeds it with valid records. Neither steps on the other.

The interesting overlap

Handler generation is on the Data roadmap. Right now you still need to bring your own values when seeding collections, whether that's faker calls or hand-written objects. Zodmint could be an optional generation backend for that: pass a schema, get valid seeds automatically, skip the factory boilerplate entirely.

Curious if others are already pairing these two, and whether an official integration would be useful to the community.