Can you take a Lovable, Replit, Bolt, v0, or Base44 prototype to production?

Yes, if the audit shows a viable path. We inspect the actual repository, services, data, and deployment before deciding what can stay. The tool name does not determine quality. Some generated code is sound, while some conventional code needs replacement. The evidence drives keep, harden, replace, or defer decisions.

Do you rewrite the whole prototype?

Not by default. A rewrite adds migration and regression risk. We preserve sound interfaces, domain logic, and infrastructure when tests and inspection support them. We replace a part when repair would leave unacceptable security, data, operational, licensing, or maintenance risk, and document why.

How is production hardening different from fixing bugs?

A bug fix addresses a known defect. Production hardening tests whether identity, authorisation, tenant isolation, payments, data constraints, integrations, failures, observability, deployment, backups, recovery, and support behave under real conditions. It may uncover bugs, but the deliverable is an operated release and a known risk boundary.

What does prototype-to-production work cost?

A one-to-two-week audit is scoped first. Focused hardening starts around $20,000 when one journey can be made production-ready without a broad rebuild. Several roles, payments, multi-tenancy, complex migration, AI evaluation, native apps, or material architecture replacement add scope. We fix the implementation price only after the audit.

How long does production hardening take?

A focused engagement usually takes 8 to 12 weeks after the audit, access, representative data, vendors, product decisions, and acceptance are ready. Migration, major security remediation, missing ownership, unreliable dependencies, app-store release, formal assurance, or a necessary rebuild can extend the plan.

Production Hardening Services

Take the working prototype to production without assuming it needs a rewrite.

We audit an AI-built, no-code, low-code, or conventional prototype, identify what can stay, and harden only the paths real users and data depend on. Authentication, authorisation, payments, data integrity, observability, deployment, recovery, and support become explicit. The audit comes before the fixed production scope.

See our work

Bring the problem, the current workflow, or the existing code. We reply with a practical next step within one business day.

The brief

Start with what is not working.

Good software decisions begin with the constraint, not a list of features or a preferred technology.

Does the demo work while ownership, access control, data isolation, payments, failure handling, and deployment safety remain uncertain?

Are you choosing between an expensive rewrite and shipping code nobody has assessed under realistic conditions?

Plain answer

Prototype-to-production development audits an existing demo, keeps sound parts, and hardens the paths real users and data depend on. RaftLabs assesses architecture, access control, payments, data integrity, integrations, observability, deployment, and recovery before fixing scope. A focused production engagement starts around $20,000 after a one-to-two-week audit; findings may justify configuration, repair, or selective replacement.

A smooth demo does not reveal the production boundary.

One person tests the happy path with seeded data. Real launch adds separate users, stale sessions, retries, webhooks, duplicate requests, failed dependencies, support tickets, migrations, and deploys while the system is running. The unseen paths determine whether the prototype can become a product.

The answer is not automatically a rewrite. It is an evidence-backed decision for each part of the system.

Delivery facts

typical audit window: 1-2 weeks; Repository and access readiness affect timing

starting point after a focused audit: $20K; Indicative production-hardening scope

post-launch support included: 8 weeks; For the delivered and documented release

RaftLabs has shipped more than 100 software products since 2015, including systems with payments, integrations, real-time workflows, and sensitive data. That is company-wide delivery evidence, not proof that any generated repository is safe. We do not quote a repair rate or claim that a particular tool always produces the same gap. The audit must examine the build in front of us.

Production work starts after product validation

A fit

The prototype has validated enough demand or operational value that real users, data, payments, or business continuity now matter.

You can provide the repository, environments, service accounts, dependency inventory, representative data, and access needed for an audit.

A product owner can decide which behaviours must remain and accept a bounded first production cohort.

Not a fit

You are still testing whether the idea or workflow makes sense and can iterate safely inside the prototype tool.

You need a single known defect repaired on an otherwise maintained production system.

The expectation is a production guarantee without repository access, security review, test data, operational ownership, or acceptance criteria.

Audit, repair, or rebuild

The repository may need configuration, targeted repair, selective replacement, or a broader rebuild. UI quality alone cannot decide. We score the paths that carry identity, permission, money, durable data, external side effects, and recovery. A technically imperfect internal helper can be acceptable; an attractive multi-tenant product with missing isolation is not.

Decision guide

Choose the intervention the evidence supports

Approach	Best when	Constraint
Keep and configure	Core implementation is sound and gaps are environment or operational setup	Still needs tests, observability, recovery, and ownership
Harden selectively	Most product behaviour works but critical paths need production engineering	Interfaces between retained and replaced parts need careful testing
Rebuild a boundary	A critical subsystem cannot be repaired safely or economically	Adds migration, regression, time, and change-management risk

What the audit has to inspect

We begin with a live walkthrough, but the assessment goes underneath it. Findings include evidence, consequence, recommendation, priority, dependency, and whether the issue blocks the proposed release. Unknowns stay labelled as unknowns.

Audit scope

Production boundaries under review

01
Identity and authorisation
Registration, session lifecycle, password recovery, social or enterprise login, role checks, tenant isolation, administrative access, service credentials, secrets, and abusive-use controls.
02
Data integrity and migration
Schema, constraints, ownership, concurrency, transactions, deletion, retention, imports, exports, seed data, backups, restore tests, and how existing prototype records become production records.
03
Payments and external side effects
Checkout, subscriptions, invoices, refunds, webhooks, idempotency, email, notifications, AI calls, file processing, and integration retries with reconciliation rather than optimistic UI alone.
04
Delivery and operations
Environment separation, dependency health, licences, continuous integration, tests, observability, alerts, performance, accessibility, deploy safety, rollback, incident response, runbooks, and named support owners.

Turn findings into a bounded release

From working demo to operated product

Phase 1
01
Audit the real build
Review repository, environments, architecture, dependencies, identity, permissions, data, payments, integrations, tests, deployment, monitoring, recovery, licences, and known incidents.
Phase 2
02
Prove production risks
Reproduce representative user, tenant, payment, concurrency, failure, retry, migration, permission, security, performance, accessibility, deploy, and rollback cases before fixing scope.
Phase 3
03
Harden the critical journey
Keep sound parts and deliver the agreed access, data, payment, integration, observability, deployment, recovery, tests, documentation, and administrative controls.
Phase 4
04
Release with operations
Migrate a bounded cohort, deploy safely, monitor real behaviour, and document access, incident, backup, restore, support, vendor, release, rollback, and product-change ownership.

Risk

What the demo does not tell you

The interface enforces permission: Authorisation must be checked at the server and data boundary. Hidden buttons and client-side routes are not access control.
A successful checkout means payments work: Test duplicate, delayed, missing, retried, refunded, disputed, renewed, cancelled, and reconciled events against an authoritative ledger.
Managed infrastructure removes configuration risk: Hosted databases and authentication still need correct policies, keys, environments, backups, recovery, monitoring, and ownership.
Passing tests guarantee production: Tests reduce known risk. They do not replace threat modelling, operational rehearsal, dependency review, monitoring, support, or decisions about acceptable residual risk.

Scope and price

Focused production hardening starts at $20,000 after the audit.

Start with one critical journey and the access, data, integration, deployment, recovery, monitoring, tests, and operations it needs.

This is an indicative starting point, not a quote or a guarantee that the existing build can be retained. The fixed implementation scope follows evidence from the audit.

Starting investment

Starts at $20,000

The audit usually takes 1 to 2 weeks; focused hardening usually takes 8 to 12 weeks. Material rebuilds, migration, multi-tenancy, native apps, or formal assurance add work.

Retain or replace decisions are documented

Each critical finding records evidence, consequence, recommendation, dependency, and release priority.

The production release includes operations

Eight weeks of support are included with access, monitoring, incident, backup, restore, vendor, deployment, and rollback runbooks.

Related product delivery services

Work with us

Bring the prototype and the launch date you do not yet trust.

We will inspect the build, surface the hidden production work, and separate what can stay from what must change.

Scope and cost agreed before work starts. No surprises. No obligation.
Working prototype within 3 weeks of kickoff.
Pay by milestone. You see progress before each invoice.
60-day post-launch warranty. Bug fixes, UI tweaks, and deployment support. No retainer.
All conversations are NDA-protected.

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Common questions

: Yes, if the audit shows a viable path. We inspect the actual repository, services, data, and deployment before deciding what can stay. The tool name does not determine quality. Some generated code is sound, while some conventional code needs replacement. The evidence drives keep, harden, replace, or defer decisions.
: Not by default. A rewrite adds migration and regression risk. We preserve sound interfaces, domain logic, and infrastructure when tests and inspection support them. We replace a part when repair would leave unacceptable security, data, operational, licensing, or maintenance risk, and document why.
: A bug fix addresses a known defect. Production hardening tests whether identity, authorisation, tenant isolation, payments, data constraints, integrations, failures, observability, deployment, backups, recovery, and support behave under real conditions. It may uncover bugs, but the deliverable is an operated release and a known risk boundary.
: A one-to-two-week audit is scoped first. Focused hardening starts around $20,000 when one journey can be made production-ready without a broad rebuild. Several roles, payments, multi-tenancy, complex migration, AI evaluation, native apps, or material architecture replacement add scope. We fix the implementation price only after the audit.
: A focused engagement usually takes 8 to 12 weeks after the audit, access, representative data, vendors, product decisions, and acceptance are ready. Migration, major security remediation, missing ownership, unreliable dependencies, app-store release, formal assurance, or a necessary rebuild can extend the plan.