Your Bolt app works. That's the easy half.

What Bolt does well

Bolt is genuinely fast at turning an idea into something clickable, and the frontend it produces is usually decent. Founders reach a demo that raises money or wins a pilot without hiring anyone — which is why we see so many of them. The gap isn't quality; it's that the generator optimises for the first working version, and production is a different objective.

• React + Vite or Next.js
• Tailwind CSS
• Supabase for auth and data
• Netlify or Vercel hosting
• Direct client-side calls to third-party APIs

• 01

  Supabase with RLS disabled or wide open

  Bolt wires the client SDK straight into the browser, which is fine only if row-level security is exhaustive. In audits it usually isn't: tables are readable by any authenticated user, and often by the anon key. Fixing this after launch means auditing every table and every policy while traffic is live.

• 02

  Business logic in the browser

  Pricing, entitlement and validation run client-side, where a user can edit them. Any rule that matters has to move behind a server boundary, which is a rewrite of the data layer rather than a patch.

• 03

  Regenerated files lose fixes

  Prompting Bolt to change a screen frequently rewrites the file, silently reverting hand-edits. Without version control discipline and tests, the same bug gets fixed three times.

• 04

  Environment handling that only works in one environment

  There is no staging, and configuration is hard-coded or lives in a single deployment's settings. The first real deploy is also the first time anyone finds out what's environment-specific.

• 01

  Secrets in the client bundle

  API keys inlined into frontend code because the prototype had no server to hide them behind. Anyone can read them with view-source, and rotating them is the first thing we do.

• 02

  Authorisation checked in the UI

  The admin button is hidden from non-admins, and the endpoint behind it is wide open. Hiding a control is not access control, and this is the single most common serious finding.

• 03

  No migration history

  The schema exists because someone clicked through a dashboard. There's no record of how it got that way and no safe path to change it, so the first production schema change is terrifying.

• 04

  Nothing to catch a regression

  No tests, so the next AI-assisted edit that breaks checkout is discovered by a customer. This is what makes generated codebases feel fragile — not the code quality, the absence of a safety net.

1. 1

   Audit — 3 to 5 days

   Every file read. Findings ranked by severity: exposed secrets, RLS gaps, unauthenticated endpoints, cost traps. You get a written report and a fix-or-rewrite recommendation per area, and it's yours whether or not you continue with us.

2. 2

   Lock the data layer

   RLS policies written and tested per table with an adversarial suite, service-role keys moved server-side, and schema captured as versioned migrations so future changes are reviewable.

3. 3

   Real auth and real payments

   Session handling and role checks enforced server-side. Stripe wired with idempotency keys and webhook replay handling, so a retry can't charge twice.

4. 4

   Tests and CI

   Vitest plus Playwright over the paths that matter — signup, checkout, the core loop — running in GitHub Actions, so the next regeneration reports what it broke.

5. 5

   Production and handover

   Staging and production environments, Sentry, uptime monitoring and alerting. Documented codebase, runbooks, and 30 days of support.

1. Step 1 · Validate

   30-day Sprint

   Prove the use case before you commit. Working prototype on real data, eval scores, and an honest signal in 30 days. Fixed scope, fixed fee.

   $4,500 fixed

   Learn more
2. Most teams land here

   Step 2 · Build

   Prototype → Production

   Turn the validated prototype into a real product. Auth, DB, payments, tests, monitoring, deployed. Sprint fee credits toward this engagement.

   from $6,000

   Learn more

3. Step 3 · Scale

   Managed Retainer

   Ongoing operation, eval cycles, model iteration, and cost guards. We keep the system improving so your team can focus on growth.

   from $750/mo

   Learn more

FAQ

Bolt to Production: your questions.

• Do you rewrite everything from scratch?

  Usually not. Bolt's UI layer is normally worth keeping; the data access, auth and payment layers normally aren't. The audit tells you which is which in writing before you commit to anything, and a full rewrite is the honest answer maybe a third of the time.

• How much does the audit cost?

  $750 (₹22,000) fixed, 3 to 5 days. It's a standalone deliverable — plenty of teams take the report and do the work themselves, and that's a fine outcome.

• Can we keep using Bolt afterwards?

  For prototyping new screens, yes, and some clients do. Once tests and CI exist, regeneration is much safer because the suite tells you what broke. What you shouldn't do is let it regenerate the auth or payment layers.

• How long until we can take real users?

  30 to 60 days for a typical app, including the audit. Apps with payments and multi-tenancy sit at the longer end; a straightforward CRUD product with auth can be shorter.

• Lovable to ProductionLovable is very good at producing an app that looks and feels finished. What it can't know is which of your tables must never be readable by another customer — and that's the finding that stops enterprise deals.Read
• v0 to Productionv0 output is the best-looking starting point in the category, and it is almost entirely frontend. The work is building the system underneath it — and doing that without throwing away the UI you liked.Read
• Replit Agent to ProductionReplit Agent builds whole applications, backend included — which puts you further along than most generators. The catch is how much of it assumes it's running inside Replit.Read