Apple & iOS
AuraScore 83/100

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.

Template

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

  1. Audit the existing .xcdatamodeld configuration and map NSManagedObject classes directly to SwiftData @Model equivalents.
  2. Review schema relationships and evaluate constraints against {{cloudkit_sync_requirement}} compatibility rules.
  3. Design a staged migration plan managing SQLite store compatibility without corrupting existing user databases.
  4. Define SchemaMigrationPlan stages including custom migration stages for non-trivial transformations.
  5. Outline the transition strategy from NSFetchedResultsController to SwiftUI @Query macro bindings.
  6. Formulate background processing and batch mutation strategies using ModelActor and dedicated background ModelContext instances.
  7. 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 @Model class relationships maintain explicit deletion rules.
  • Background operations MUST execute on dedicated ModelActor instances.

Output format

Generate a structured engineering plan containing:

  1. Schema Translation Specification (entity and relationship mapping)
  2. Staged Migration and Schema Evolution Strategy (handling {{database_migration_risk_level}})
  3. Concurrency & Query Architecture (ModelActor and SwiftUI @Query guidelines)
  4. 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.
AuraScore breakdown
83/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness5/5 · Strong

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

developers
developers-apple
software-engineering-debugging
swiftdata
coredata
persistence