Laravel Like Laravel Package

Product Decisions This Supports

• Shipping engagement loops without custom plumbing. The package now exposes a manager service plus Like and Love facades, so a squad can add reactions (like/dislike/love, undo variants, and toggle) to existing Eloquent models with a facade call or a trait method rather than designing a new interaction schema. That shortens the path from "engagement experiment" to "in a sprint."
• Build vs. buy for a commodity capability. Reactions are solved, low-differentiation surface area. Adopting a maintained package (now with a testbench + Pest suite) is a defensible default; the alternative is spending engineering weeks on a feature that will not differentiate the product. This decision is now easier to justify because the release adds test coverage and fixes a config fallback bug that would have caused production misconfiguration.
• Roadmap sequencing for social/commerce surfaces. The action set (including unDislike, unlove, toggle) maps cleanly to common product stories: upvote/downvote on community content, wishlist-style "love" on catalog items, reaction toggles on feeds, and reversible moderation actions. PMs can spec these as thin features instead of platform work.
• Polymorphic-by-default modeling. Because it works via traits on "interactable" models, one integration covers many content types (posts, products, comments), which supports a roadmap where engagement is a cross-cutting capability rather than a per-feature rebuild.
• Reduced config risk. The corrected fallback behavior for like.interaction_model and like.users.model means environment-specific configuration is less likely to fail silently — relevant for teams running multiple environments or multi-tenant setups.

When to Consider This Package

Consider adoption when:

• The product needs discrete, user-authored reactions (like, love, dislike) on one or more Eloquent models, and the business requirement does not hinge on novel interaction semantics.
• You are on a modern Laravel version with PHPUnit/Pest and can absorb a small dependency; the new testbench + Pest suite signals the maintainer is investing in verifiable behavior, which is the main signal a PM should care about in a small package.
• You want the facade-or-trait ergonomics so feature teams can integrate without a shared platform ticket.
• You need a fast, low-risk spike to validate whether reactions move a retention or engagement metric before committing platform capacity.

Look elsewhere (or plan for in-house work) when:

• You need high-volume counters, ranking, or feed-ordering at scale. The release notes describe interaction actions, not aggregation, caching, or denormalized counts. Validate read-path performance and whether you must maintain your own tally tables.
• You require weighted or multi-emoji reaction sets beyond the packaged enum, or reaction types that change frequently. The enum and facade surface imply a fixed vocabulary.
• You need audit-grade history, moderation workflows, or analytics eventing out of the box — those likely remain your responsibility around the package.
• You depend on deep customization of the underlying models, or your team extends internals. The LoveScope → LoveScopes rename is a small but real signal that internal trait names are not a stable contract; direct extension of internals carries upgrade cost.
• Your platform is not Laravel/Eloquent, or you cannot accept community-maintained dependencies on a core engagement path.

Before committing, the PM should ask engineering for: index and query plans on the interaction table, current package maintenance activity and release cadence, an upgrade path from v2.0.0 (the trait rename), and whether existing user-interaction data needs a migration.

How to Pitch It (Stakeholders)

To executives: This is a small, focused Laravel package that lets us add "like," "love," and "dislike" reactions to any content type using tested, reusable code instead of building it ourselves. Version 2.1.0 is a genuine maturity step: it adds a clean service-and-facade interface, fixes a configuration bug that could have broken setups across environments, and — most importantly — ships an automated test suite. That combination lowers delivery risk and lets us run engagement experiments in days rather than weeks. Cost is a single dependency on a non-differentiating capability; the risk is manageable provided engineering confirms it handles our expected read volume, since the package does not appear to include built-in counting or ranking.

To engineering: The API is deliberately thin — a LikeManager service, Like/Love facades covering like, dislike, love, unlike, unlove, unDislike, and toggle, plus HasLike/HasLove traits for interactable models. Two things to note on upgrade: the LoveScope trait is renamed to LoveScopes (treat as a patch-level break if you extend it), and forgetInteractions* is now deduplicated into a shared ForgetsInteractions trait. Config fallback for like.interaction_model and like.users.model is fixed, so re-verify any environment overrides. Outstanding technical diligence: index strategy and query cost on interaction lookups, whether counts are your responsibility, and polymorphic coverage for our model set.