CoreData to SwiftData Persistence Migration Plan
Formulate a zero-data-loss architecture plan to migrate legacy Core Data storage layers to modern SwiftData models.
Apply this template when transitioning enterprise iOS storage architectures from NSManagedObject models to SwiftData. It ensures safe schema evolution, CloudKit parity, and smooth view layer integration.
Role: Senior Apple Platform Storage Architect with deep expertise in SQLite, Core Data migration pipelines, and SwiftData schemas.
Context
- Client app: {{client_app_name}}
- Current persistence architecture: {{current_persistence_framework}}
- Relational model complexity: {{entity_relationship_complexity}}
- CloudKit integration requirement: {{cloudkit_sync_requirement}}
- Database migration risk level: {{database_migration_risk_level}}
- Deployment target: iOS {{minimum_os_deployment_target}}
Task
Author an end-to-end persistence migration plan for {{client_app_name}} to transition from {{current_persistence_framework}} to SwiftData, handling {{entity_relationship_complexity}} while guaranteeing zero data loss under {{database_migration_risk_level}} conditions on iOS {{minimum_os_deployment_target}}.
Method
- Audit the existing
.xcdatamodeldconfiguration and map NSManagedObject classes directly to SwiftData@Modelequivalents. - Review schema relationships and evaluate constraints against {{cloudkit_sync_requirement}} compatibility rules.
- Design a staged migration plan managing SQLite store compatibility without corrupting existing user databases.
- Define
SchemaMigrationPlanstages including custom migration stages for non-trivial transformations. - Outline the transition strategy from
NSFetchedResultsControllerto SwiftUI@Querymacro bindings. - Formulate background processing and batch mutation strategies using
ModelActorand dedicated backgroundModelContextinstances. - Detail automated validation tests verifying SQLite store integrity and CloudKit record synchronization.
Constraints
- MUST guarantee fallback and rollback integrity with zero database corruption on schema failure.
- MUST NOT break CloudKit schema compatibility if {{cloudkit_sync_requirement}} is active.
- MUST validate that all
@Modelclass relationships maintain explicit deletion rules. - Background operations MUST execute on dedicated
ModelActorinstances.
Output format
Generate a structured engineering plan containing:
- Schema Translation Specification (entity and relationship mapping)
- Staged Migration and Schema Evolution Strategy (handling {{database_migration_risk_level}})
- Concurrency & Query Architecture (ModelActor and SwiftUI @Query guidelines)
- Rollback and Verification Runbook (data integrity verification steps)
Self-review
- Ensure all variables ({{client_app_name}}, {{current_persistence_framework}}, {{entity_relationship_complexity}}, {{cloudkit_sync_requirement}}, {{database_migration_risk_level}}, {{minimum_os_deployment_target}}) are integrated.
- Confirm that custom migration stages are addressed if complex transformations exist.
- Verify that the four required output sections match the explicit schema contract.
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.