What is it?
Software QA and technical audit services cover manual and automated testing, performance and security checks, and senior engineer code review — especially for AI-generated or inherited codebases before production launch.
Vibe Coded App to Production
Vibe Coded App to Production
Built with AI. Not ready for real users yet — and that is normal. You have a working demo from Lovable, Cursor, Bolt, v0, or Replit. We finish incomplete features, close security gaps, run structured QA, and help you publish — without rebuilding from scratch.
Lovable · Cursor · Bolt · v0 · Replit · Finish · Secure · Test · Publish
30 minutes · Senior engineer · No commitment
Upwork Top Rated Plus
Fiverr Level 2 · 5.0★
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150+ projects delivered
20+ Play Store apps
4
Step Path to Launch
Lovable
+ Cursor + Bolt
OWASP
Security Baseline
Free
Audit to Start
The gap between demo and production
Vibe coding is a legitimate fast way to start — and that is how most of our clients arrive. AI builders optimize for a happy-path demo: sign-up works, the main screen loads, and checkout succeeds once. They do not automatically harden for production traffic, abuse, or edge cases. Real users mistype passwords, refresh mid-payment, upload oversized files, and share deep links. Bots probe public APIs. That is when shortcuts surface: authentication that relies on client-side checks instead of server rules, database queries that load entire tables because pagination was never added, API keys shipped in frontend bundles, and errors that leak stack traces to the browser. Supabase and Firebase apps often ship with Row Level Security disabled or misconfigured — fine when you are the only tester, dangerous when one user can read another's data. Payment webhooks without signature verification let attackers fake successful charges. None of this appears in a five-minute demo. It appears on launch night. Our job is to close that gap while keeping the codebase you already invested in.
FINISH
We close feature gaps AI left incomplete or half-working — password reset flows that never send email, admin panels with no access control, file uploads with no validation, onboarding steps that break on mobile, and integrations stubbed but not wired. You keep the product direction; we make the flows actually complete.
SECURE
We fix auth and data handling: Row Level Security on Supabase, Firebase rules, session management, role checks on every sensitive route, and secrets moved out of client code. We address injection risks, IDOR (users accessing each other's records), and exposed service-role keys — the vulnerabilities AI tools routinely skip.
TEST
Structured QA on critical user flows, API endpoints, payments, and auth — aligned with our dedicated QA for AI-generated apps practice. Manual exploratory testing plus targeted automation on paths that must not break before launch.
PUBLISH
Production deployment, environment configuration, error monitoring, logging, and app store submission where applicable. You get a documented handoff: what we changed, how to deploy, and what to watch after go-live.
What we typically find
Concrete issues we see in Lovable, Cursor, Bolt, v0, and Replit codebases before hardening.
Missing Row Level Security (RLS)
Auth
Data leak
Supabase or Postgres tables where any authenticated user can read or update another user's rows because RLS policies were never enabled or tested.
API keys in the frontend
Keys
Exposed
Stripe secret keys, OpenAI tokens, or Supabase service-role keys committed in client bundles or checked into Git — copyable from browser devtools.
Unverified payment webhooks
Pay
Spoof risk
Stripe or Paddle webhooks that process events without signature verification, allowing forged payment-success payloads.
N+1 database queries
DB
Perf
Loops that query the database on every row — fine for ten test records, slow or timeout-prone under real traffic.
No rate limiting
API
Abuse
Public API routes and AI-backed endpoints without throttling — easy abuse vector and runaway usage costs.
Leaky error responses
Info
Disclosure
500 errors returning stack traces, internal IDs, or SQL fragments that help attackers map your system.
Half-finished critical flows
UX
Broken
Sign-up without email verification, file uploads with no size limits, or forms that appear to save but write nowhere.
Quick answers
Vibe Coded App to Production: Key Facts
Structured answers for search engines and AI assistants — definition, fit, cost, timeline, and comparisons.
- What is it?
- Software QA and technical audit services cover manual and automated testing, performance and security checks, and senior engineer code review — especially for AI-generated or inherited codebases before production launch.
- Who is it for?
- Teams shipping Lovable, Cursor, or Bolt prototypes to real users Founders facing investor technical diligence Products with regressions every sprint and no test automation Mobile apps needing device-matrix testing before store release
- Who should not use it?
- Static marketing site with no auth or payments You cannot provide staging access or test accounts You expect QA to define product requirements
- How much does it cost?
- Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.
- How long does it take?
- Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days.
- How does it compare?
- Compared to alternatives — Developer-only testing: choose when Early prototype with no paying users yet; Crowdtesting platforms: choose when One-off device coverage without domain context; Automated scanning only: choose when Known stack with mature CI; catches syntax not workflow bugs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
- When should you choose it?
- You ship at least monthly and regressions hurt revenue or trust You inherited or AI-generated code without senior review You need an independent sign-off before fundraising or launch Catch permission and payment bugs before customers do Documented release checklist for repeatable shipping
Buyer Guide
What You Need to Know
Structured answers for founders, CTOs, and procurement — written for clarity in search and AI assistants.
Who needs it?
- ·Teams shipping Lovable, Cursor, or Bolt prototypes to real users
- ·Founders facing investor technical diligence
- ·Products with regressions every sprint and no test automation
- ·Mobile apps needing device-matrix testing before store release
Why GreeLogix?
- Dedicated QA for AI-generated apps — we know where vibe coding cuts corners
- Full practice: Cypress/Playwright, API (Postman), performance (k6), security
- Code review from engineers who build Laravel, React, and Flutter daily
- Free AI audit quiz as a low-friction entry to a senior debrief
How it works
- 1.Test strategy: risk map, environments, and release criteria
- 2.Execution: test cases, bug reports with repro steps, regression suites
- 3.Automation wired into CI where ROI is clear
- 4.Release sign-off report with go/no-go recommendation
Typical timeline: Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days.
How much does it cost?
Pricing depends on scope, integrations, and timeline. GreeLogix provides fixed-milestone quotes after a discovery call — typical engagements range from $1,500 for focused audits to $75,000+ for full product builds, with monthly retainers from $3,500.
Cost factors
- ·App complexity and number of platforms (web, iOS, Android)
- ·Automation scope vs manual-only
- ·Security or penetration testing depth
- ·Whether you need embedded QA or per-release engagement
How long does it take?
Smoke audit: 1 week. Full regression cycle: ongoing per sprint. Deep code audit: 5–7 business days.
How does it compare?
Compared to alternatives — Developer-only testing: choose when Early prototype with no paying users yet; Crowdtesting platforms: choose when One-off device coverage without domain context; Automated scanning only: choose when Known stack with mature CI; catches syntax not workflow bugs. Choose GreeLogix when you need production reliability, fixed milestones, and engineer-led delivery with QA sign-off.
- Developer-only testing — choose when Early prototype with no paying users yet
- Crowdtesting platforms — choose when One-off device coverage without domain context
- Automated scanning only — choose when Known stack with mature CI; catches syntax not workflow bugs
When should you choose it?
- You ship at least monthly and regressions hurt revenue or trust
- You inherited or AI-generated code without senior review
- You need an independent sign-off before fundraising or launch
Who should not use it?
- ·Static marketing site with no auth or payments
- ·You cannot provide staging access or test accounts
- ·You expect QA to define product requirements
Benefits
- Catch permission and payment bugs before customers do
- Documented release checklist for repeatable shipping
- Investor-ready technical risk summary
Risks to plan for
- QA without product context files shallow tickets
- Testing only happy paths misses edge cases in billing and roles
- Delaying QA until launch week maximizes fix cost
Decision framework
When to Choose Vibe Coded App to Production
Pros / benefits
- +Catch permission and payment bugs before customers do
- +Documented release checklist for repeatable shipping
- +Investor-ready technical risk summary
Cons / risks
- −QA without product context files shallow tickets
- −Testing only happy paths misses edge cases in billing and roles
- −Delaying QA until launch week maximizes fix cost
Choose GreeLogix when
- You ship at least monthly and regressions hurt revenue or trust
- You inherited or AI-generated code without senior review
- You need an independent sign-off before fundraising or launch
Implementation steps
- 1.Test strategy: risk map, environments, and release criteria
- 2.Execution: test cases, bug reports with repro steps, regression suites
- 3.Automation wired into CI where ROI is clear
- 4.Release sign-off report with go/no-go recommendation
Get a Clear Plan for Vibe Coded App to Production
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
We work with the tools you already used
Most clients arrive with a repo or export from Lovable, Cursor, Bolt, v0, or Replit Agent — not a blank specification. We read the generated code, map what works, and harden what does not. Vibe coding got you to a demo; we get you to something you can put real users on.
If you built with Lovable, our vibe coding with Lovable page covers how we extend those projects. For Cursor-native codebases, see vibe coding with Cursor. This production service applies regardless of which tool you started with — the finish, secure, test, publish path is the same.
Review-only or full hardening
Not every founder needs a full build-out on day one. If you want a senior engineer's assessment before committing to fixes, start with our free AI audit or a pre-launch app review. When you are ready to implement, we scope finish, secure, test, and publish as fixed milestones — same team, same standards, no rebuild unless the stack is genuinely wrong for your goals.
Frequently Asked Questions
Answers to the buyer questions we hear most before a project starts.
- Can you take over an app built with Lovable or Cursor?
- Yes. That is the most common starting point for this service. We connect to your existing GitHub repo or Lovable export, review what the AI generated, and take it from demo to production. You do not need to switch tools or restart the project.
- Do you need the original prompts or source, or can you work from what AI generated?
- We work from what exists today — the deployed app, repository, and environment variables you can share. Original prompts help for context, but they are not required. Senior engineers read the code, trace the data flows, and document gaps from there.
- How long does it take to make a vibe-coded app production-ready?
- It depends on scope and how many integrations you have. A focused hardening pass on a small MVP often takes a few weeks; apps with payments, multi-tenant auth, and mobile clients take longer. We give you a scoped timeline after a free audit — not a generic estimate before we have seen the codebase.
- Do you rebuild the app or work with what's already there?
- We work with what is already there. The goal is to keep your UI, core flows, and business logic while fixing security holes, finishing half-built features, adding tests on critical paths, and preparing deployment. A full rewrite is only recommended if the stack is fundamentally wrong for your goals — and we will say that plainly if it applies.
- What's the difference between this and a full custom build?
- A full custom build starts from requirements and architecture first. This service starts from a working AI-built demo and moves it to production readiness. It is faster and cheaper when the product direction is already validated. If you need net-new product design from scratch, our custom software and MVP development paths are a better fit.
Our Process
01
Free audit
Share your app URL or repo. A senior engineer flags production blockers and outlines the finish → secure → test → publish path.
02
Scoped proposal
You get milestones, timeline ranges, and pricing options — fixed-scope where possible, no surprise rebuild.
03
Hardening sprint
We work in your codebase: features completed, security fixed, QA on critical paths, staging deploy for your review.
04
Launch & handoff
Production deploy, monitoring setup, documentation, and optional ongoing support or QA retainer.
Tell us about your app
Share your Lovable, Cursor, or other AI-built project — we respond within one business day with audit next steps.
Quality & Audits
Quality, Audits & Readiness
Validate AI-generated code, ship with confidence, and catch issues before launch.
Free Tools
Plan Before You Engage Us
Use our free calculators and planners — then book a strategy call when you are ready for a senior engineer review.
Resources
Continue Your Research
Case studies, guides, and free tools from the same engineering team.
The TEST step uses the same approach as our QA for AI-generated apps service. Built with a specific tool? Read how we work with Lovable projects and Cursor codebases. For testing-only help, see QA for AI-generated apps.
Ready when you are
Get a Clear Picture Before You Launch
Start with a free audit — a senior engineer reviews your app, flags production blockers, and outlines what finish, secure, test, and publish would look like for your codebase. Not ready for a build-out? Request a focused review instead.
Also see our code review & technical audit for review-only engagements with a written report.