Laravel Development

Laravel Development Services

There is a point where the software you rent stops fitting the business you actually run, and the gap gets filled with exports, spreadsheets and people. Laravel development services exist for that point: a custom PHP application built around your process instead of a vendor's, replacing the subscriptions that almost work and the manual steps holding them together. The decision turns entirely on what the build costs — and Facet's arithmetic comes out differently from a traditional agency's, because our own engineering runs on agent loops under human command. Scaffolding, CRUD layers, migrations, the first pass of the test suite: that is high-volume checkable work, it is absorbed rather than billed by the sprint, and a lower build number moves the break-even on every subscription you are weighing.

How could AI agents run your build? Book a 45-minute scoping session on the process you are trying to replace. You leave with the build-versus-subscribe arithmetic on your own numbers and a written recommendation.

Why our build number changes the decision

Build-versus-buy is not a philosophical question. It is a comparison of two numbers, and for twenty years the build number was high enough that the answer was almost always "buy, and work around it."

That number has moved, and we know where it moved to because it moved on our own work first.

• Agents carry the volume; engineers carry the judgment. Migrations, model scaffolding, resource controllers, factory and seeder setup, the first sweep of feature tests — checkable work with a right answer, which is precisely what an agent does well. A Facet engineer owns the data model, the architecture and every merge, and a line an agent wrote clears exactly the review a line a person typed does.
• That shows up in your estimate, not just in our margin. When the mechanical half of a build is cheaper to produce, the set of processes worth building for rather than renting gets measurably larger. The engagements that would not have made sense three years ago are the interesting ones now.
• We name the failure modes. An agent asked to tidy a model will swap a hasMany for a belongsToMany because the pivot table looked like an invitation — the suite still passes, and every query that relied on the old shape quietly starts returning a different set of rows. It will add a scope nobody specified. And in a long controller the last method it writes does not resemble the first. Scoped tasks, a review that reads the diff rather than the test result, and a Facet engineer who owns the data model exist because all three happen. We found them on our own code, where being wrong cost us.

What you are actually paying for with SaaS is the shape of your process

Every subscription encodes somebody else's opinion about how your work should be done. Where that opinion matches yours, the software is excellent value. Where it does not, you do not get to change it — so the difference gets absorbed by people: the export, the reconciliation, the second system that exists only because the first one will not hold a field you need.

Those manual steps are the real price, and they never appear on the invoice.

Run it on your own numbers (illustrative frame — the figures are yours). List the tools that touch one end-to-end process. Add the annual subscription cost. Then add the hours your team spends moving data between them, correcting what the handoffs break, and doing the parts no tool covers — at your own loaded hourly cost. The second figure is usually the larger one, and it is the one nobody had counted.

A custom Laravel application replaces that whole assembly with one system that holds your process as designed. Facet's project range starts at $6,000 and scales with scope; we run the comparison with you during scoping rather than asserting an outcome, because the answer genuinely depends on how far your process sits from the products available.

And sometimes the answer is keep the subscription. If a product does what you need and the workarounds are trivial, building is a worse idea wearing a more exciting name. That finding costs us the engagement and we still write it down.

What the loop actually does

The recurring work of a live application is high volume, mechanically checkable, and almost always fine — which is exactly the work that quietly stops happening when it depends on a person remembering.

• Run the suite on every change — unit, feature and integration — and report what moved, not only what broke. A passing suite is the merge requirement, so the tests are the thing holding the codebase's shape.
• Track the dependency and framework surface. Laravel ships on a predictable cadence and Composer packages do not. Matching releases and advisories against what you actually run is constant, boring, and the difference between an afternoon upgrade and a three-week one.
• Watch the application's operating signals — error rate and exception volume, response time by endpoint, queue depth and job failure rate, slow query counts — against your own baseline rather than a generic threshold.
• Produce the record. Every deploy, every patch, every rollback, logged with what changed, so nobody has to reconstruct it later from memory.

What a person still decides

• What the application is for. The data model is the business model written down, and getting it wrong is the one mistake no amount of later engineering fully recovers from. That is an engineer and a stakeholder in a room, not a generated schema.
• Which technical debt matters. A security exposure and an unfashionable naming convention are not the same finding. Ranking them is judgment about your risk, not a lint score.
• When to take a major framework version, which is a project with a date rather than a patch.
• Every merge and every production deploy. Nothing enters your codebase without a Facet engineer and your team signing off.
• Whether extending is the wrong answer. Sometimes the honest recommendation on an existing application is a rebuild, and we put that in writing rather than billing for work that will not produce a usable outcome.

Inheriting PHP somebody else wrote

The other half of this practice is not greenfield. It is applications that already exist, already run something important, and have nobody left who understands them — the agency moved on, the developer left, the documentation was a conversation.

That population is growing for a new reason. PHP is one of the languages AI coding tools produce most fluently, so alongside the decade-old Laravel apps there is now a wave of recently built ones that work, that nobody on the team can safely change, and that have never been reviewed by anyone.

Our approach is the same for both, and it starts with an audit rather than a proposal:

• Establish what the application actually does, including the behaviour nobody intended and users now depend on. This is usually the first time anyone has seen all of it at once.
• Write the tests nobody wrote, which is what makes every later change safe, and is high-volume work agents are genuinely good at.
• Map the security surface — authorization gaps, unvalidated input, credentials in the repository, packages with published advisories.
• Separate the debt that is a risk from the debt that is an opinion, and price the first list.
• Say when the answer is rebuild. On some codebases repair costs more than starting over, and we would rather lose the larger engagement than sell a repair on code that should be replaced.

How could AI agents run your build? Book a 45-minute scoping session — on a process you want to replace, or on a codebase you have inherited. Written recommendation either way.

How an engagement runs

Scoping. We start with the outcome rather than a feature list: the process the application replaces, the data it owns, the integrations it needs, and the measure that will tell us it is working. Scope, timeline and cost are estimated against real requirements — we do not pad to protect margin or underbid to win and catch up later. The risk surface is priced in up front: legacy data migration, third-party API dependencies, and compliance requirements such as HIPAA, PCI or SOC 2, which change architecture and documentation rather than being bolted on afterwards.

Build. Reviewable, deployable code on a regular cycle rather than a black box that opens at the end. Custom data modelling and API design around your business logic; Livewire or Inertia.js where real-time interactivity is needed; REST or GraphQL for integration; queue-driven background jobs for anything that should not block a user. OWASP practices, rate limiting, validation and CSRF handling implemented rather than assumed. Onshore technical leadership paired with Facet's 500+ open-source specialist network for depth, across 9 timezones. Deployment configured on your infrastructure — Pantheon, AWS, Azure or your own — and handed over documented.

Operate. Test coverage held above an agreed threshold with coverage-reducing changes flagged before merge. Error tracking, performance monitoring and uptime alerting wired at launch. A defined cadence for reviewing production data and shipping improvements, which is a continuous loop rather than a support queue. An application does keep getting better under that arrangement — the mechanism is the tests and the review cadence, not the calendar, and a loop nobody runs produces next year exactly what it produces today.

Where this goes next

• Agentic Engineering — the build layer generalized: the same loop discipline across your whole software surface, with defined roles, scoped boundaries and human review built into how the agents work.
• Vibe Coding Rescue — the fixed-scope repair engagement for an application an AI coding tool produced, where the need is to make it safe to change before anything else.
• AI Managed Services — the run layer. A named Facet team keeps the application patched, watched and working as your business moves.

Founded in 2014, named a CIOReview Top 10 Digital Transformation Services Company in 2021, with 25 verified Clutch reviews, Facet has built and operated open-source web applications throughout. A single application delivered, running and needing nothing further is a complete outcome.

FAQ

How much do laravel development services cost?

It depends on scope, and anyone quoting a number before understanding your requirements is guessing.

• Scope drives cost more than technology. A small internal tool with a simple data model and no integrations is a fraction of a customer-facing platform with complex logic and several API dependencies. Both are legitimate Laravel applications.
• Facet's project range starts at $6,000 and scales with complexity — integrations, real-time features and compliance requirements are the usual multipliers.
• Ongoing operation is a separate line from the build, and it is what protects the build. We scope both together so you see total cost of ownership before committing.
• The scoping conversation is not billed. If you have a project in mind, we will tell you what we see before any commitment.

What industries does Facet build Laravel applications for?

Professional services, property management, recruiting, law firms, medical spas and aesthetics, non-profits, B2B wholesale and event production — typically organizations between 10 and 500 people that have outgrown their tooling or run a process too specific for off-the-shelf software.

• The framework is industry-agnostic. Laravel's strength is modelling complex business logic clearly, so the verticals that benefit most are the ones with non-standard workflows.
• Compliance-adjacent work is scoped explicitly. Applications handling protected health information, payment data or legal records carry architectural and documentation requirements that affect the build, and we price them in.

How does Facet handle an existing PHP codebase?

We do rescue and modernization work, not only greenfield builds, and we are direct about what we find.

• The audit comes first: current test coverage, dependency versions, security surface, and the gap between what the application does and what the business needs.
• We distinguish risk from aesthetics. Not all technical debt needs remediating now, and treating it as though it does is how a rescue turns into a rewrite nobody approved.
• We will not take on a codebase we cannot improve in good conscience. Sometimes the right recommendation is a rebuild, and we say so.
• We document as we go — pull request descriptions, code comments and a plain-language change log — so you always know what was done and why.

What is the difference between custom Laravel development and a website builder?

Website builders are optimized for content and presentation. Laravel development is for applications with real business logic, custom data models and integrations a no-code tool cannot reliably support — a multi-tenant billing system, an intake workflow talking to your CRM and payment processor, a reporting layer aggregating several sources for different user roles.

• You own what is built. A codebase you own can be moved, modified and scaled without a vendor's permission.
• When not to build: if your requirement is genuinely well served by existing software — a standard site, a simple store, a basic booking form — we will tell you that.

The question underneath the cost comparison

Build-versus-buy gets argued as arithmetic, and the arithmetic is worth running. But the decision that actually matters is a different one: who gets to decide how your business works.

Rent the software and the vendor decides. Their data model becomes your data model, their workflow becomes your workflow, and their roadmap decides which of your problems get solved and when. Most of the time that is a fine trade — it is the reason the software industry exists. It stops being fine at the point where the thing you do differently from your competitors is the thing the product will not let you do.

You can find that point without hiring anyone. Walk one end-to-end process and write down every manual step that exists only to bridge two tools or to hold a piece of data the system will not keep. That list is what you are currently paying to work around, and it is also the specification for the thing that would replace it.

How could AI agents run your build? Book a 45-minute scoping session on that process. You leave with the build-versus-subscribe arithmetic run on your own numbers, a scoped shape for what a replacement would involve, and a written recommendation — including "keep the subscription, the workarounds are not costing you enough to justify this," which costs us the whole engagement and is the right answer more often than an agency page usually admits.

Book a scoping session →