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A reusable Laravel wizard should share the mechanics of moving through a flow—not pretend every flow has the same steps or validation. Keep HTTP handling in routes and controllers, and put step definitions, transition rules, validation policy, and any saved progress in an explicit application-level flow layer. Laravel provides the request-handling building blocks; its documentation does not prescribe a workflow engine.

Why separate step methods start to feel awkward

When several features need multi-step forms, it is tempting to create a controller action and template for every step of every flow. That is easy to understand locally, but repeated request-handling patterns can spread across controllers. The opposite extreme—a single universal wizard with fixed assumptions—can be just as awkward when flows have different steps, branches, or validation rules.

A developer in one discussion described this tension: different integrations needed different steps and validation, yet duplicating step1, step2, and their templates felt wrong. The thread mentions state machines and Livewire as possibilities, but it is one participant’s discussion, not evidence that either is the right choice for every application: Laravel discussion.

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The more useful design question is not simply how many controllers to have. It is which responsibilities are genuinely shared, and which belong to each flow.

What Laravel handles—and what the application must decide

Laravel routes map requests to controller actions, and controllers can group related request-handling logic. The framework also documents controller middleware and dependency injection. These are mechanisms for organizing HTTP handling, not a prescribed model for wizard steps or transitions. See the Laravel 13.x controller documentation.

Route groups can share attributes such as middleware. For routes in the web group, Laravel’s 13.x routing documentation describes session state and CSRF protection: Laravel 13.x routing documentation. Those features are useful foundations, but they do not decide whether a user may move from one step to another or whether a flow can be resumed.

Laravel’s lifecycle documentation describes a request reaching the router, being dispatched to a route or controller, and passing through middleware on the way to a response. The cited lifecycle page is for the master documentation, which represents upcoming documentation; check the documentation for the Laravel version your application uses before relying on version-specific details: Laravel request lifecycle documentation.

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In short, Laravel can handle the HTTP boundary. The application still needs to define the flow’s rules. That is a distinction about scope, not a restriction imposed by Laravel.

A practical seam between controllers and flow logic

One reasonable design—an application-level proposal, not an official Laravel pattern—is to keep controllers thin and delegate flow decisions to a service or flow definition. The controller receives the request and returns the appropriate response; the flow layer determines the active step and permitted transition; a step-specific validator applies that step’s rules. If users must leave and resume, a persistence layer records the progress.

  1. Route: directs the request to the relevant controller action and applies shared middleware where appropriate.
  2. Controller: translates the incoming HTTP request into an operation such as displaying the active step or submitting its data.
  3. Flow definition or service: identifies the current step and checks whether the requested transition is allowed.
  4. Step validation: applies the rules for the submitted step rather than forcing every flow into one validation policy.
  5. Persistence, if needed: stores progress when the user must be able to resume or when progress must survive beyond the current request.

This separation lets flows share an execution mechanism without requiring identical step definitions. It also makes the important policy visible: a request naming a later step should not, by itself, prove that the user is entitled to reach it.

Decide how much abstraction the flows need

Keep distinct controllers when the flows differ substantially

If flows have very different behavior, separate controllers and templates may be the clearest choice. Duplication is not automatically a design failure; it can be cheaper than a generic abstraction whose configuration and special cases are harder to follow than the original actions.

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Share mechanics when several flows really behave alike

If multiple flows share the same request-handling pattern but vary in step order or validation, centralizing those mechanics can reduce repetition while keeping each flow’s rules explicit. Avoid treating controller count alone as a measure of maintainability: clarity of transitions, validation ownership, and testability matter too.

Consider a state-machine approach when transitions are central

When a workflow has meaningful branches, guarded transitions, or state-dependent behavior, explicitly modeling states and transitions may be useful. A state-machine package adds its own concepts and operational complexity, so its value depends on the flow requirements. The developer discussion raises state machines as an option; it does not establish that a package is necessary.

Consider Livewire when it fits the interface and team

Livewire is another possibility raised in the discussion, but the available sources do not establish when it is preferable to controller-based handling. Choose it based on the application’s interaction needs and team practices, not as an automatic cure for duplicated step actions.

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Questions to answer before building a reusable engine

  • How many flows are there, and how much do they vary? A shared abstraction is more compelling when flows have real common behavior, not merely multiple pages.
  • Can users resume later? If so, decide what progress to persist and how the application identifies and retrieves it.
  • Do users branch or go back? Define which transitions are permitted; do not equate a URL or submitted step identifier with valid progress.
  • Where do validation rules live? Keep step-specific rules clear and testable, especially when different flows validate different data.
  • How are transitions authorized? Check the transition on the server and consider whether the user may access the flow and its saved progress.
  • Does a state-machine package earn its complexity? Compare its additional concepts and maintenance needs with the actual transition rules the application must express.

What a generic flow engine should not imply

“Generic” should mean that common mechanics can be reused, not that each flow loses its identity. A reusable layer still needs a clear source of truth for step definitions, a policy for allowed transitions, and a way to invoke the correct validation. If those rules are scattered between controller conditionals, routes, and templates, consolidating controller methods alone may not solve the underlying design problem.

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Likewise, Laravel’s routing and controller features do not guarantee that a flow is secure, resumable, or easy to maintain. Those qualities depend on the application’s implementation and requirements; the available sources do not establish performance or maintenance results for a particular flow engine.

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