fixmymess.ai

Everything between your demo and your launch.

Five things stand between a prototype and a product people pay for. We do all five, in the order they need to happen.

1

Diagnose

Before we touch anything, our scanners and models map the whole codebase. You get a written report: what's broken, how badly, and what it costs to fix.

  • Full codebase scan in minutes
  • Security and data-exposure audit
  • Architecture and dependency review
  • Fixed-price quote, not an hourly estimate
audit-report.txt
  checkout-app: 412 files, 38,904 lines
  
  critical   6  ██████
  high       9  █████████
  medium     8  ████████
  
  fixed price: $999, ready in 5 days
2

Repair

We fix the logic the AI got wrong: auth flows, payments, state, data models. The things that work in the demo and fall over with real users.

  • Auth and session flows
  • Payments and webhooks
  • State and data fetching
  • Database schema and migrations
src/pages/checkout.tsx
- useEffect(() => { load() })
+ useEffect(() => { load() }, [userId])
  
- if (res.ok) router.push('/success')
+ if (!res.ok) throw new CheckoutError(await res.json())
+ router.push('/success')
3

Refactor

AI writes one enormous file and then keeps rewriting it. We split it into code a person can read, so your next feature doesn't break the last one.

  • Split giant files into modules
  • Remove dead and duplicated code
  • Types where they catch real bugs
  • Docs your next developer will read
tree --changes
- src/App.tsx                 2,431 lines
+ src/features/checkout/      6 files
+ src/features/auth/          4 files
+ src/features/orders/        5 files
+ src/lib/api.ts              112 lines
  
  duplicate code removed: 3,870 lines
4

Secure

AI builders ship secrets to the browser, leave databases open and trust every request. We close every hole we find and rotate what already leaked.

  • Secrets moved server-side and rotated
  • Row-level security and access rules
  • Input validation and injection fixes
  • Rate limits and abuse protection
src/lib/supabase.ts + migrations
- createClient(URL, SERVICE_ROLE_KEY)
+ createClient(URL, ANON_KEY)
  
+ alter table profiles enable row level security;
+ create policy "own rows" on profiles
+   using (auth.uid() = id);
5

Ship

Working code isn't shipped code. We set up tests, CI, environments and monitoring, deploy to production, and stay on for 30 days.

  • Automated tests on the flows that make money
  • CI/CD with preview and production
  • Environments and secrets done right
  • Error monitoring and alerts
pipeline #1842
  ✓ lint          12s
  ✓ typecheck     18s
  ✓ test          142 passed
  ✓ e2e           3 browsers
  ✓ deploy        production
  
  errors in the last 24h: 0

We know how each builder breaks.

Every AI tool fails in its own way. We've seen each of these enough times to have a runbook for it.

  • Lovable

    • Supabase row-level security left off
    • Auth checks only in the UI
    • Credits burned looping on the same bug

  • Bolt

    • Works in the preview, breaks on deploy
    • API keys bundled into the browser
    • No migrations, schema edited by hand

  • v0

    • Beautiful UI with no backend behind it
    • Mock data everywhere
    • Forms that submit to nowhere

  • Cursor

    • Agent rewrites code that already worked
    • Tests deleted to make them pass
    • Dependency sprawl and version conflicts

  • Replit

    • Deploys that die on restart
    • Secrets kept in the workspace
    • SQLite carrying production traffic

  • ChatGPT

    • Snippets from different answers that don't fit
    • APIs that were deprecated years ago
    • No error handling anywhere

We don't guess. We run the playbook.

Hundreds of rescued AI-built apps became tools, models and runbooks. That's why we fix in days what's been stuck for months.

Rescue session: checkout-app
LIVE

  • Diagnostic tools

    Our scanners map the whole codebase in minutes: broken flows, exposed secrets, dead code, missing tests, fragile deploys.

  • Specialized models

    Models tuned on real broken AI-generated apps. They know how Lovable, Bolt and v0 code fails, and where to look first.

  • Runbooks

    Step-by-step fixes for the failures we see every week: Supabase auth and RLS, Stripe webhooks, leaked keys, builds and deploys.

  • Senior engineers

    A person reviews, tests and signs off on every change. Nothing ships on autopilot.

Stop living at 90%.

Send us your repo today. In 48 hours you'll know exactly what's broken and what it costs to fix. Free, no strings.

Get my free auditSee pricing
  • Free audit in 48 hours
  • No fix, no fee
  • Every change reviewed by a senior engineer