Statamic Inline Assets Laravel Package

Product Decisions This Supports

• Feature prioritization: The new Ignore Missing flag enables graceful handling of absent data (e.g., missing records, files, or relations), reducing fatal errors and support tickets. This supports decisions to harden existing features rather than build custom error-handling logic.
• Build vs. buy: Instead of engineering a bespoke missing-data handler, adopting this package provides a proven, configurable flag. This accelerates delivery for use cases like optional relationships, user-generated content, or third-party integrations where data completeness varies.
• Use cases: Ideal for dashboards, reporting, and APIs that must remain operational despite incomplete data; migration or sync tools that should skip missing references; user-facing features that should not break on missing assets.

When to Consider This Package

• Adopt when your Laravel application frequently encounters missing data (e.g., soft-deleted records, missing files, optional relations) and you need a simple, framework-native way to ignore those cases without writing repetitive try/catch blocks.
• Consider if you value incremental, low-risk enhancements: the 4.0.3 release adds a focused flag without breaking changes, making it a low-effort upgrade for existing users.
• Look elsewhere if you need comprehensive data integrity enforcement (e.g., strict validation, foreign key constraints) or if your missing-data scenarios require custom logging/alerting beyond a simple ignore flag. Also look elsewhere if the package lacks active maintenance or if you need features beyond this specific capability.

How to Consider This Package (Stakeholders)

• Executives: This release reduces customer-facing errors and support tickets by making the system resilient to missing data. It is a small, low-risk change that improves reliability without new infrastructure.
• Engineering: The Ignore Missing flag is a straightforward addition that simplifies code by replacing ad-hoc checks. It is non-breaking and easy to adopt. Evaluate if the package’s scope aligns with your error-handling strategy; if you already have robust missing-data patterns, this may be redundant.