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Dto Laravel Package

cerbero/dto

Cerbero DTO is a lightweight Laravel/PHP package for creating type-safe data transfer objects from arrays and requests. It supports property casting, validation, nested DTOs, and easy serialization, helping keep application data structured and predictable.

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Product Decisions This Supports

  • Feature-level architecture: Justifies introducing an explicit DTO layer between HTTP handlers, Eloquent models, queue jobs, and third-party integrations — instead of passing raw arrays or hydrated models across boundaries. This is a classic decoupling decision that improves testability and reduces regression surface.
  • Roadmap sequencing: Supports a phased rollout — pilot typed DTOs in one bounded context (e.g., public API response shaping or an integration adapter), measure defect/refactor rates, then expand. It should not be treated as a platform-wide standard on day one.
  • Build vs buy: Provides a lightweight "buy" option against hand-rolling a DTO/casting layer. The tradeoff is real: hand-rolled solutions grow into mini-frameworks; this package offers a smaller surface but with maintainer risk (17 stars, 0 known dependents). The correct framing is "buy-and-wrap," not "buy-and-standardize."
  • Use cases with clear fit: API payload contracts, request-to-domain mapping, event/queue message payloads, cached object hydration, external service responses, and normalization of enums/date-times/nested objects.
  • Standardization decision: Enables a team-level convention for how DTOs are typed, cast, nested, and serialized — reducing ad-hoc array shapes that are the root of most "shape mismatch" bugs.
  • Risk decision: Because community traction is negligible and there is no dependent ecosystem to signal stability, this should feed a tactical utility decision (pin, fork, or wrap), not a strategic platform decision.

When to Consider This Package

Consider it when:

  • The stack is Laravel/PHP 8+ and the team already uses typed properties and constructor promotion.
  • The dominant pain is shape drift — arrays with implicit keys passed between layers — rather than serialization performance or API documentation.
  • The team prefers explicit, small-surface-area utilities over reflection-heavy "magic" frameworks.
  • You need nested DTOs, casting (enums, dates, collections), and straightforward hydration without adopting a full API-platform layer.
  • You can afford to pin the version and wrap the public API behind an internal interface, so an abandoned package is a weekend replacement rather than a migration project.

Look elsewhere when:

  • You require vendor SLA, long-term support, security patching guarantees, or a large community for hiring/onboarding. The star count and absent dependents are disqualifying for foundational use.
  • You need validation-integrated DTOs, automatic resource transformation, OpenAPI/schema generation, or deep framework ergonomics — mature alternatives (e.g., spatie/laravel-data, Symfony Serializer, or Laravel's native API Resources) cover more ground.
  • The team already has a disciplined Value Object / array-shape convention that is working; the marginal benefit is low.
  • The repository lacks visible CI, test coverage, changelog, or recent commits — in that case, defer and re-evaluate or vendor a fork.
  • The codebase has hard Laravel version constraints that conflict with your upgrade cadence.

How to Pitch It (Stakeholders)

For executives: This is a small, MIT-licensed utility that adds typed data-transfer objects to our PHP/Laravel services. Cost is effectively zero, it introduces no vendor lock-in, and the blast radius is deliberately small — every DTO is plain PHP, so removal is cheap. The honest caveat: it is an early-stage package with minimal community adoption, so we treat it as an internal utility we control (pinned and wrapped), not as a strategic dependency.

For engineering leadership: We gain an explicit contract between layers — no more untyped arrays crossing controller/service/job boundaries — which cuts a recurring class of shape-mismatch defects and makes refactors safer. The package surface is small enough to audit in an afternoon, and we will place it behind an internal abstraction so swapping to a homegrown or more mature implementation stays a localized change.

For engineering teams: Adopt it where data crosses a boundary: API responses, queue payloads, integration adapters, cached objects. Keep DTOs thin and explicit; do not let them become domain entities. Because upstream maintenance is uncertain, contributions and bug fixes should be expected to come from us — plan to fork if the package stalls, and pin versions in the meantime.

Recommendation: Approve as a pilot in one context with a wrapped interface and pinned version. Do not approve as a mandated, org-wide standard until it has survived one full upgrade cycle in production.

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