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Interactions Laravel Package

laravel-interaction/interactions

Laravel Interaction lets Eloquent models interact polymorphically—likes, favorites, votes, follows, bookmarks, subscriptions, and more. Attach reusable interaction types to any model, query who interacted and what they interacted with, and build social features with clean, extendable APIs.

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Product Decisions This Supports

  • Build vs. buy for engagement features: laravel-interaction/interactions provides a polymorphic interaction layer (views, likes, favorites, and custom interaction types) that attaches any model to any actor. This lets us ship engagement mechanics — "liked by", "viewed by", counters, "who viewed my post" — without designing a schema or writing per-feature pivot tables.
  • Roadmap sequencing for social/engagement surfaces: because interaction types are configuration-driven rather than hard-coded, the same package backs multiple roadmap items (likes → bookmarks → follows → reactions) instead of a new migration per feature. Useful when engagement is a multi-quarter theme rather than a one-off.
  • Scope control on "activity feed" and "recently viewed" style features: these are typically deceptively expensive (polymorphic joins, deduplication, counter caches). A vetted package shortens the estimate and reduces the surface area our team owns.
  • Forward-compatibility commitments: the 3.5.0 release adds support for Laravel 13, PHP 8.5, and PHPUnit 12. That makes the package a safe dependency to plan against for the next major framework upgrade cycle — it removes the "we'll be stuck on this library when we move to Laravel 13" objection from the upgrade roadmap.
  • Non-decision: this package does not replace analytics/event pipelines. It is application-level relationship bookkeeping, not product telemetry. Do not let it be pitched internally as an analytics solution.

When to Consider This Package

Adopt when:

  • We need many-to-many or polymorphic "who interacted with what" relations and want to avoid hand-rolling the pivot tables, indexes, and query scopes.
  • We expect more than one interaction type and want them governed by a single, consistent API rather than a growing set of bespoke tables.
  • The team is already on a maintained Laravel major (10–13) and wants a dependency that tracks upstream framework releases closely — the 3.5.0 changelog shows active CI against current PHP and Laravel versions.
  • The interaction data is first-party and low-to-moderate volume (likes, saves, follows), where Eloquent-level modeling is the right level of abstraction.

Look elsewhere when:

  • We need high-throughput counters (millions of views/day) — a denormalized counter store or event stream will outperform per-row Eloquent interactions.
  • We need historical/event-sourced audit trails with replay, segmentation, or funnel analysis — that is an analytics warehouse problem, not an Eloquent relation problem.
  • We require strict deduplication and idempotency guarantees under concurrency — verify the package's unique-constraint story before committing; otherwise we own that logic anyway.
  • We already have an engagement model in production that the package would have to be backfilled into — migration cost likely exceeds the savings.

How to Pitch It (Stakeholders)

To executives: This is a small, low-risk open-source component that lets us add "like / save / view" style engagement features without building the underlying data plumbing ourselves. The latest release (3.5.0) is a maintenance release — it adds compatibility with the next Laravel version, PHP 8.5, and PHPUnit 12, with no breaking changes. That means adopting it now does not create a future upgrade liability; it actively reduces one. Estimated effort saved is measured in days-to-weeks per engagement feature, not months.

To engineering: 3.5.0 is purely additive compatibility work: Laravel 13 support, PHP 8.5 support, PHPUnit 12 support, a orchestra/testbench constraint update, and routine CI/dependency bumps. No API changes, no deprecations, no migration required. It sits cleanly within the existing 3.x line, so it is a safe minor-version upgrade. The main engineering caveats to validate before adoption: index and uniqueness strategy for high-volume interactions, and whether counter caching is handled at the application layer (it likely is — plan for it). We should not treat this package as an analytics or audit-log solution; it is a relationship-modeling convenience, and we retain responsibility for throughput, retention, and deduplication semantics.

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