For founders building with Lovable, Bolt, Cursor and Replit
Your AI-built app, production‑ready.
We find and fix the security holes, scaling limits and runaway cloud costs that AI coding tools leave behind. Fixed prices, plain-English reports, and no rewrite.
Senior backend and cloud engineersFixed prices, agreed up frontNDA on request
app-review · yourstartup.comEXAMPLE
Launch readiness6 checks · 4 need work
38/100
Critical
profiles table is public
Anyone can download every user's email.
High
OpenAI key in the browser
Visible in page source. Anyone can spend it.
High
Admin check runs client-side
One edited request makes a user an admin.
Medium
Dashboard p95 at 2.4s
Missing index. Gets worse with every customer.
Cost
LLM bill $1,140 → ~$310/mo
Cache repeat prompts, route easy ones to a smaller model.
Pass
TLS, headers, backups
All good.
1,204 user records exposedUsually fixed in a day with row-level security.
Works with the stack you already have
Lovable
Bolt
Replit
Cursor
v0
Supabase
Firebase
Vercel
AWS
Google Cloud
Messy AI build in. Clean production out.
That is the whole job — we take what the AI tools left tangled and straighten it into something you can run, scale and trust.
What our reviews find most often
AI tools ship features fast. They also ship the same six problems.
None of these show up in a demo. They show up when a customer asks about security, when traffic spikes, or when the bill arrives.
Wiz Research found about 1 in 5 organisations building on vibe-coding platforms had exposures like these. Read the study
Data exposure
Anyone can read your database
Tables that should be private answer to anyone with your public URL. One curious visitor can download every customer record.
The fix: row-level security on every table, locked-down storage, and a test that fails if it ever opens again.
GET /rest/v1/profiles?select=*
id
email
u_0192
maria@acme.io
u_0193
j.tan@brightly.co
u_0194
ops@northwind.com
200 OK · 1,204 rows · no login
Leaked secrets
Your API keys are in the browser
const key = "sk-proj-••••a91F"
Payment, email and AI keys sit in front-end code, ready to copy.
The fix: keys move server-side behind a small proxy.
Broken access
Logins only protect the screen
UI: hiddenAPI: open
Buttons are hidden from the wrong users, but the server still answers.
The fix: permission checks on the server for every route.
Scaling
It slows down under real traffic
50 usersp95 latency5,000
Fine at 50 users. Painful at 5,000.
The fix: indexes, caching, queues and alerts.
Cost
The bill grows faster than revenue
Cloud + AI spendUsers
The same result often costs a fraction.
The fix: caching, model routing, right-sizing.
Code health
Every new prompt breaks something
The AI quietly undoes old fixes, so shipping a feature means re-testing everything by hand.
The fix: tests on the paths that matter, and CI checks that stop risky AI changes before they reach users.
api/invoices.ts · AI edit, 3 days ago
- if (session.user.id !== row.owner) throw 403
+ // simplified auth check
+ if (!session) return row
return db.from("invoices").select("*")
Free instant check
See your app's outer-layer exposure in about 20 seconds.
Enter your own app and we run a quick, non-intrusive look at what any visitor can already see from the outside: encryption, headers, public data signals and config hygiene. You get a readiness score and where the weak spots are. The specifics and how to fix them come with your free review.
No login, and we never touch your data or your users' data.Only what's publicly visible. Nothing is stored or exploited.Run it on apps you own or have permission to check.
We've emailed your outer-layer check to . It lists every area we looked at and where the weak spots are. If it's not there in a couple of minutes, check your spam folder.
Monthly review of AI-generated changes, help during incidents, architecture advice and a few hours of fixes.
from$1,000/ month
Founding price for our first five audit clientsNDA on requestRead-only access. We never touch your users' data
AfterprodProduction-readiness for AI-built SaaS
[City, Country] · working with founders worldwide
About us
Senior engineers for the part AI tools skip.
Afterprod is a backend, cloud and MLOps engineering practice. Our engineers have built and run [APIs, data pipelines and ML platforms at companies such as A and B], so we know what breaks when real users and real money arrive.
We love that AI tools let founders ship in a weekend. Our job is to make what they ship safe, fast and affordable, while you keep your stack, your tools and your momentum.
[X]+ yrsproduction engineering experience
[N]systems scaled or secured
[Cert]cloud certifications
Plain English. Every finding is explained by risk and cost. The jargon stays in the appendix.
No rewrites. We fix what matters and leave the app in your hands.
Permission first. We only review apps whose owners have agreed.
No. Most founders want to keep using Lovable, Bolt or Cursor, and that's fine. We fix the parts that matter and add guardrails so the AI doesn't undo them.
I'm not technical. Will I understand the report?
Yes. Each finding says what could go wrong in plain English, how serious it is, and what it costs to fix. The technical detail sits underneath for whoever does the work.
What access do you need?
Nothing for the free review. For the audit, read-only access to your repository and hosting dashboards. I never need your users' data.
Can you do the fixes as well?
Yes. That's the fix sprint. If you book one within 30 days of the audit, the audit fee is credited in full.
What if my app isn't built with an AI tool?
That's fine. The same review works for any early-stage SaaS on a modern stack such as Node, Python, Postgres, Supabase, Firebase, AWS or GCP.
Free app review
Find out what's exposed before your users do.
Send us your app's URL. Within 2 working days you'll get a 15-minute recorded walkthrough of what anyone on the internet can already see.