Laravel Unique Laravel Package

Product Decisions This Supports

• Build vs. buy (validation layer): Database-backed exists() / unique() validation with extra constraints (tenant scoping, soft-delete awareness, status filters) is commodity plumbing. Adopting a package here is a straightforward "buy" decision — it removes hand-rolled rule classes that tend to drift between teams and features.
• Data-integrity prioritization: The 1.2 fix addresses constraint fields being wrongly applied in an exists() check. That class of defect means a validation rule can silently accept or reject the wrong records — a data-integrity risk, not a cosmetic one. Treat it as a "patch now, test the scenario" item rather than a routine dependency bump.
• Feature scoping for form/import/API work: Any roadmap item that ingests user-supplied references (admin panels, CSV imports, public APIs, multi-tenant resources) benefits. If a quarter's roadmap has multiple such surfaces, this package reduces duplicated validation effort across them.
• Quality-gate decisions: The existence of this bug fix is a signal to add regression coverage for the exact scenario (constrained exists() rules) in our own test suite — validation bugs are cheap to prevent and expensive to detect in production.
• Maintenance-risk scoring: A patch-only release with a targeted fix is a positive maintenance signal (someone is reading bug reports), but it's a small data point. Factor it into the dependency register, not into a "safe to adopt broadly" conclusion on its own.

When to Consider This Package

Consider adopting when:

• You have (or expect) a meaningful number of exists() / unique() rules that need additional where constraints — per-tenant uniqueness, "must belong to this account," active-record-only checks.
• You want validation behavior expressed declaratively in form requests rather than in custom rule classes or controller-level guard clauses.
• The package targets the Laravel versions you actually run, and you can pin the version and verify the 1.2 fix against a test case of your own.
• A single maintainer or small team is acceptable risk for a non-critical-path dependency.

Look elsewhere or hold when:

• You have only a couple of constrained rules — the dependency cost exceeds the savings; a local custom rule is simpler.
• Validation correctness is safety-critical in your domain (billing entities, access control, regulated data) and the package lacks a visible test suite or changelog discipline. A constraint-application bug of this kind is exactly the failure mode you cannot absorb.
• You need cross-database portability, unusual constraint semantics (complex orWhere groups, joins), or behavior the package doesn't document.
• Evidence caveat: this assessment rests on a single patch release and no evaluation data. Before a broad adoption decision, run a short spike: pin 1.1 and 1.2, write a failing test for the misapplied-constraint case, confirm the fix, and check release cadence and open issues. Do not treat the 1.2 notes as evidence of overall maturity.

How to Pitch It (Stakeholders)

To executives: This is a small, low-cost dependency that removes custom validation code from our codebase and makes "does this record exist and is it ours?" checks consistent across features. It is not a platform bet. The tradeoff is routine third-party dependency risk, which we mitigate by pinning the version and covering the behavior with our own tests. Recommendation: adopt narrowly in the surfaces we're already building, with a dependency-register entry and a review at the next dependency audit.

To engineering: Release 1.2 fixes constraint fields being misapplied in one of the exists() checks — a correctness bug, not a feature. Concretely: upgrade, then add a regression test that reproduces a constrained exists() rule (e.g., record exists but belongs to a different tenant) so we fail loudly if this ever regresses. Keep the version pinned, review the diff before merging, and flag if the package's test coverage or release cadence looks thin — in that case we fall back to a local rule class, which is a few hours of work.

Bottom line: Worth adopting for constrained database validation, with a pin, a regression test, and a short spike before we rely on it in critical paths.