Versionless schema design
Evolve a single schema over time with additive changes and deprecation workflows instead of introducing versioned GraphQL endpoints.
Implementer guidance
Schema designer
- Prefer additive field and type evolution.
- Use deprecations with clear replacement guidance.
- Remove deprecated fields only after observed usage reaches an acceptable threshold.
- Think about future extensibility when designing types; solutions such as connections and mutation payloads can enable future extensions (aggregations, related data, metadata) that simple list fields or mutated records may not.
Tooling implementer
- Provide schema diffing with breaking/dangerous/additive classifications.
- Block breaking changes in CI by default.
- Surface deprecation usage and age to support removal decisions.
Server implementer
- Coordinate schema rollout with client release cadence.
- Keep observability on deprecated field usage and resolver cost.
Related solutions
These solutions help your schema tolerate future changes, often by giving extra space that the API can expand into: