foxws/laravel-algos
foxws/laravel-algos is a Laravel package that provides reusable algorithm implementations and helpers for PHP applications. It offers a lightweight, package-based way to integrate common algorithmic tasks into Laravel projects, helping keep algorithm-focused code organized and easy to reuse.
Architecture fit. foxws/laravel-algos is a pre-1.0 (0.3.x) Laravel package that exposes algorithm implementations through Laravel-native ergonomics (service provider, facade/config publishing conventions). It fits as a leaf dependency — utility code called from application services — rather than as infrastructure. It should not sit on a hot request path or own domain state. The 0.3.2 release adds a Laravel Boost skill and tip, i.e., packaged AI-assistant context so that Boost-aware tooling can generate correct usage guidance for this package. Architecturally this is inert at runtime: it is developer-experience metadata, not a code-path change, and does not alter the package's position in the dependency graph.
Integration feasibility. Low effort. Installation follows the standard Composer + provider/config-publish flow, and there is no evidence in this release of new transitive dependencies or service bindings. The Boost skill is additive and only activates for teams already running Laravel Boost; teams without it are unaffected. The main feasibility gate is not this release but the package's overall maturity: 0.x versioning means public API surface is not contractually frozen, so integration effort should be budgeted as "wrap and isolate" rather than "adopt directly."
Technical risk.
Key questions.
laravel/boost to require or require-dev, and does the skill file ship in the distributed archive (any autoload/export-ignore impact)?php and illuminate/* constraints, and is there a CI matrix covering our supported Laravel versions?Stack fit. Compatible with a conventional Laravel application via Composer and auto-discovery; no architectural imposition. Best used behind an application-owned interface (e.g., App\Support\Algorithms\* or a thin adapter service) so that call sites depend on our abstraction, not on Foxws\Algos\* classes. This single decision converts the 0.x instability from an application-wide risk into a one-file swap.
Migration path. Greenfield: add as a normal dependency with a pinned constraint ("foxws/laravel-algos": "~0.3.0"), commit composer.lock, publish config only if defaults are insufficient. Brownfield/alternative: if the package is being evaluated against hand-rolled or existing algorithm code, run a parallel-implementation spike comparing outputs on representative fixtures before removing anything; keep the old path behind a feature flag until parity is demonstrated.
Compatibility. Confirm the PHP/Laravel constraint intersection with our runtime before install — a 0.x package may lag the newest Laravel major. The Boost skill is only useful on developer machines with Laravel Boost installed; it must be treated as optional tooling, never as a production or CI prerequisite, and should not appear in require.
Sequencing.
composer.json constraints, CI config, licence, and the 0.3.2 diff; confirm the Boost additions are dev-only and excluded from autoload.Maintenance. Ongoing cost is low if the adapter boundary exists; without it, cost is proportional to the number of direct call sites. Budget for periodic upstream review (release cadence appears slow, which cuts noise but also signals limited forward investment). Treat 0.x upgrades as minor-breaking-change events: read the changelog, run the adapter contract tests, bump the constraint deliberately — never composer update this package opportunistically in production branches.
Support. No commercial backing; support is GitHub issues at maintainer discretion. Internal ownership should be explicit: one named engineer accountable for the dependency, its pin, and its upgrade runs. The Boost skill marginally improves self-service (correct usage examples surface in AI-assisted workflows, reducing "how do I call this" questions to the maintainer), but it is not a substitute for documentation review at adoption time.
Scaling. The package adds no runtime infrastructure, queues, or I/O — scaling characteristics are those of the wrapped algorithms (CPU and memory per call). If any algorithm is invoked in a request path, benchmark it at production input sizes and consider offloading heavy computation to a queue job. Watch for memory growth on large inputs, since pre-1.0 libraries rarely publish complexity guarantees.
Failure modes.
illuminate/* constraint blocks a framework upgrade. Mitigation: check constraints at every Laravel major planning cycle.composer audit, dependency review on version bumps).Ramp-up. Fast for any Laravel developer — idiomatic package shape, and the 0.3.2 Boost skill lowers time-to-first-correct-call for teams using AI-assisted tooling. Realistic estimate: under a day to productive use behind the adapter, plus half a day of one-time due diligence on constraints, licence, and API stability. The 0.3.2 release does not change this estimate; it slightly improves the onboarding slope and carries no migration obligation.
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