A reusable Laravel flow engine can reduce repeated wizard plumbing without forcing every form through identical validation or transitions. The useful boundary is not “one controller versus many”; it is HTTP handling in routes and controllers versus application rules for the active step, allowed transitions, validation, and saved progress.
Why separate step methods start to feel repetitive
A developer describing this problem on Reddit points to a familiar tension: different integrations need different steps and validation, yet duplicating step1, step2, and their templates feels awkward. That is one person’s experience, not evidence that a particular architecture is universally better. The thread also mentions state machines and Livewire as possibilities, not as settled recommendations. Reddit discussion.
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Some duplication may be meaningful. If two flows have different questions, branching, permissions, or business rules, their differences belong somewhere in the design. The aim is to share the mechanics that genuinely repeat—such as dispatching a request to the active step—while keeping each flow’s rules explicit and independently testable.
What Laravel handles—and what the application must decide
Laravel routes map incoming requests to controller actions, and route groups can apply shared attributes such as middleware. The web routes receive session-state and CSRF features through the web middleware group, as described in the Laravel 13.x routing documentation. Controllers can group related request-handling logic; Laravel also documents controller middleware and dependency injection in its Laravel 13.x controller documentation.
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Those facilities provide useful HTTP boundaries, but they do not prescribe a workflow-engine model. The application still has to decide what the current step is, which transitions are allowed, how each step validates input, and whether progress must persist between requests. That is a distinction about the scope of the framework documentation, not a restriction imposed by Laravel.
Laravel’s request lifecycle documentation describes the router dispatching to a route or controller, route-specific middleware running, and the response returning through the middleware chain. That page is for the master documentation and describes an upcoming version; check the documentation for your installed Laravel release before relying on version-specific lifecycle details.
A practical seam for a reusable flow engine
One reasonable design—an application-level choice, not a Laravel convention—is to let routes and controllers translate HTTP requests into operations on a flow definition or service. That flow layer can determine the active step and permitted transition; the selected step can own its validation rules; and a persistence layer can save progress if users need to resume.
Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Scan for outdated or missing drivers - takes under a minute3Clear out junk files and repair common Windows errors- Keep routes concerned with entry points. Define endpoints for displaying the current step and submitting its data. Group routes or apply middleware when the same HTTP concerns apply across a flow.
- Keep controllers concerned with HTTP. Read the request, call the flow operation, and return a response or redirect. Dependency injection can supply the services the controller needs.
- Put flow-specific decisions in an explicit definition or service. It should identify the valid steps and decide which transition follows a successful submission. The exact representation—classes, configuration, or another structure—is a design choice.
- Validate for the selected step. Different flows and steps can use different rules. Do not make a shared controller imply a shared validation policy where none exists.
- Persist only the progress the product requires. If a user can leave and resume, decide what state is stored, when it is saved, and how a resumed request re-establishes the permitted step.
This arrangement can centralize repeated dispatch and transition plumbing without turning flow-specific rules into hidden conditionals inside a large controller. It also avoids treating controller count as the sole measure of maintainability: the important question is whether each responsibility and variation has a clear home.
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Choose the amount of abstraction from the flows you have
Before building a generic engine, compare the flows on the needs that affect their shape. A shared sequential form with no resume behavior may need little machinery; branching paths, backtracking, or durable progress require more explicit state and transition handling.
- How many flows exist, and how much do they vary? A handful of similar flows may share a small abstraction. Very different flows can become harder to understand if forced into one universal definition.
- Can users resume? If so, define where progress lives and what happens when the saved state is incomplete or no longer valid.
- Can users branch or go backward? A strictly linear sequence and a graph of conditional transitions are different problems. Model the actual permitted paths rather than assuming every next step is simply the following number.
- Where are validation rules defined and tested? Rules should remain discoverable at the step or flow boundary they govern, and tests should cover both accepted input and rejected transitions.
- How are authorization and tampering handled? Treat a submitted step identifier as untrusted input. Determine the active step from trusted flow state and verify that the requested transition is allowed; do not rely on the browser to enforce sequence.
- Would a state-machine package earn its operational cost? More formal transition modeling may suit branching workflows, but a package adds a dependency and concepts the team must maintain. Evaluate that against the complexity actually present.
When separate controllers or other approaches remain sensible
Separate controllers are not inherently a design failure. They can be clearer when flows have substantially different authorization, HTTP behavior, or business meaning. Conversely, a shared controller can be useful when the repeated part is genuinely the same request plumbing and the flow-specific behavior remains explicit elsewhere.
Livewire and state machines are examples raised in the Reddit discussion, not conclusions established by Laravel’s documentation. Consider them only against the requirements of the application: the way the interface should update, how transitions should be represented, and what complexity the team is prepared to support.
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