axiom-audit-codable

Run a Swift Codable serialization audit to flag anti-patterns like manual JSON string building and try? error swallowing that cause silent data loss. This analysis evaluates manual decoding logic and decoder strategy consistency to prevent production crashes and revenue leaks.

Common Swift Codable serialization anti-patterns include manual JSON string building, using try? to swallow decoding errors, and omitting date strategies. These structural risks cause silent data loss and runtime crashes across network and persistence boundaries when server-side schemas change.

Audit Swift API models for decoder strategy consistency by evaluating manual encoding and decoding logic across your codebase. This mapping provides a clear overview of serialization boundaries and validates type safety to ensure your persistence layer is not silently failing.

Yes, this Codable audit works for both network and persistence boundaries. It analyzes structural risks and potential silent data loss across these serialization boundaries, validating type safety and error handling to ensure production-grade data serialization against server-side schema changes.

You need to audit Swift Codable models for type safety during code review or refactoring phases. This ensures your API models are robust against server-side schema changes and verifies that your persistence layer is not silently failing during data serialization.