Laravel's ergonomics let weak developers ship something that works for a while β the interview's job is to find who builds Laravel apps that still work at year three. These questions focus on Eloquent discipline, queue design, and the framework's service container, with notes on what strong answers cover.
What a strong answer covers
Lazy relation loading firing a query per model; eager loading with with(), plus preventive tooling β preventLazyLoading in non-production, query counting in tests, Telescope or Debugbar inspection. The habit framing matters: prevention as a default, not a fix after the outage.
What a strong answer covers
Automatic constructor resolution, binding in service providers, singleton versus fresh bindings, and contextual binding. Practical uses: swapping payment or notification drivers, faking services in tests. Reciting IoC theory without a concrete swap story is the shallow version.
What a strong answer covers
Chunked jobs rather than one giant one, job batching with progress and failure callbacks, idempotency so retries are safe, rate limiting against external APIs, failed-job handling and monitoring (Horizon). Timeout and memory awareness per job shows production queue mileage.
What a strong answer covers
A coherent position: action or service classes for use cases, form requests for validation, thin controllers, models kept to relationships/scopes/accessors. Tolerance for pragmatism matters, but 'everything in the controller' or 'everything in the model' both fail at scale.
What a strong answer covers
Correct use cases: polymorphic for comments/attachments shared across types with the indexing and integrity trade-offs named; hasManyThrough for skipping intermediate hops. Knowing when a plain pivot table plus explicit queries is simpler shows restraint.
What a strong answer covers
DB::transaction with closure retry for deadlocks, and the classic trap: dispatching jobs or events inside a transaction that later rolls back β solved with afterCommit dispatching. That trap is the whole reason to ask; candidates who know it have debugged real inconsistencies.
What a strong answer covers
Feature tests through HTTP as the backbone, unit tests for isolated logic, RefreshDatabase strategies, factories with states, and faking mail/queues/storage/HTTP via the built-in fakes. Suite speed via parallel testing and restraint about browser tests. Pest or PHPUnit fluency both fine.
What a strong answer covers
Guarded/fillable discipline, policies and gates for authorization with route-level enforcement, Sanctum for SPA/API tokens versus Passport for full OAuth, signed URLs, and rate limiting. Mass-assignment and missing-policy checks are the two audit findings they should anticipate.
What a strong answer covers
Measure first β Telescope, Debugbar, or APM β then the usual ladder: N+1s and query optimization, indexes, caching (query, fragment, full-response where valid), queueing slow side work, and only then infrastructure like Octane. Ordered, evidence-driven, and honest about diminishing returns.
What a strong answer covers
Config files reading env once, config:cache freezing values so env() outside config files returns null in production β a classic gotcha. Deployment: migrations in release steps, queue restarts on deploy, maintenance-mode or zero-downtime strategies. The env-caching trap is the depth check.
What a strong answer covers
Livewire/Inertia keeping full-stack productivity for server-driven products; separate SPA when a dedicated frontend team or heavy client interactivity justifies the API split. A shipped example with trade-offs beats framework tribalism in either direction.
What a strong answer covers
Stabilize: environment reproducibility, characterization tests on money paths, dependency and customization audit, then an incremental upgrade plan (Shift-style tooling acceptable) rather than a rewrite pitch. Judgment about sequencing risk is what the question buys.
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Try the interview question generator βA small CRUD-plus-queue exercise: a model with a relationship, one endpoint that triggers a queued job, and tests required. Review for N+1 prevention, transaction-versus-job ordering, and whether tests use factories and fakes idiomatically.
Yes for mid-level roles β Laravel ramps fast for solid PHP engineers who know Composer, OOP, and testing. For senior roles owning architecture, insist on real Laravel mileage: the container, queue, and config-caching questions expose whether it exists.
The transactions-plus-queues question. It is quick to ask, cannot be bluffed, and the failure it probes β jobs firing for rolled-back state β is exactly the class of silent bug that separates production-tested Laravel developers from tutorial-taught ones.
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