Vibe-Code Rescue & Production Hardening
Your AI built it fast.
I make it safe to launch.
AI tools let anyone ship an app in a weekend. The trouble starts the moment the prototype stops being a prototype — real users, real data, and real traffic hit code that was only ever tested on the happy path. That gap between “it runs” and “it's safe to run” is exactly what I fix.
The problem, in five steps
Scroll to watch it break — then get rescued
1 · AI builds it in a weekend
Lovable, Bolt, Cursor, v0, Replit, FlutterFlow — layers get stacked fast and the demo looks finished.
2 · Real users arrive
Real data and real traffic hit code that was only ever tested on the happy path.
3 · The cracks open
Auth holes. Secrets in the bundle. Non-idempotent payments. World-readable tables. Each AI fix breaks something else — the vibe cycle.
4 · I harden it
I re-architect the fragile core, seal the holes, and add the auth, payments, security, and observability the AI skipped — without a rewrite.
5 · Production-grade
Code that survives the week it gets traction. You keep your code and your stack.
The numbers behind the pitch
This isn't a hunch. It's measured.
Founders don't fail because the idea was bad — they fail because the build collapses the week it gets traction. Independent studies in 2025 put hard numbers on exactly where AI-built code breaks.
~45%
of AI-generated code introduced an OWASP Top 10 vulnerability
Veracode, 2025 (100+ models tested)
86%
of relevant samples failed to defend against cross-site scripting
Veracode, 2025
Flat
security stayed flat across 100+ models — bigger, newer models did not write safer code
Veracode, 2025
How much more often AI code breaks
Issues in AI-written code vs human-written code, by category. Anything past the dashed line is worse than a human would ship.
Source: CodeRabbit, “State of AI vs Human Code Generation” (Dec 2025, 470 real PRs)
Share of AI code that failed security tests
Percentage of samples that introduced an OWASP Top 10 flaw, by language. The dashed line is the all-code average.
Source: Veracode, 2025 GenAI Code Security Report (100+ models tested)
And it isn't getting fixed on its own. Across 100+ models of every size and vintage, Veracode found security performance stayed flat — newer, larger models write more functional code, not safer code. The judgment that keeps an app from leaking data on day one still has to come from an engineer.
The signature diagnostic
The 10-Point Production-Readiness Audit
Each domain has what I check — and what typically breaks in vibe-coded apps. You get a severity-ranked report with a Production-Readiness Score, evidence per finding, and a prioritized fix plan.
- 01
Auth & access control
Breaks: Missing checks on protected routes; users able to act as other users.
- 02
Row-level security & data access
Breaks: Tables left world-readable/writable; RLS never enabled — the #1 vibe-coded data leak.
- 03
Secrets & config
Breaks: API keys exposed in the client bundle or extractable from the compiled app.
- 04
Payments & webhooks
Breaks: Unverified webhook signatures, no idempotency, race conditions — fake “paid” events and double charges.
- 05
Input validation & error handling
Breaks: Malformed input, empty states, and failures crash the app or corrupt data.
- 06
Concurrency & scale
Breaks: N+1 queries, missing indexes, no rate limiting — slows to a crawl or falls over.
- 07
Security (OWASP Top 10)
Breaks: Injection, XSS, broken access control, insecure dependencies.
- 08
AI surface (OWASP LLM Top 10)
Breaks: Prompt injection, data exfiltration, unbounded model cost — jailbreaks and runaway bills.
- 09
Observability
Breaks: No logging, error tracking, or alerts — you hear it's down from a user, not a dashboard.
- 10
Architecture & build health
Breaks: The vibe-cycle tangle — no one can change anything without breaking something else.
From audit to production-grade
The paid audit is the wedge — it qualifies serious buyers and is credited toward your rescue if you proceed.
01
Production-Readiness Audit
Full 10-point diagnostic + written report with severity-ranked findings and a fix plan.
$500–$900
2–3 days
Credited toward a rescue.
02
Rescue Sprint
Fix the criticals — auth, payments, security, the show-stoppers.
$2,500–$5,000
1–2 weeks
03
Full Hardening
Re-architect the fragile core; add scaling, tests, and observability. Production-grade.
From $6,000
3–5 weeks
04
Care Plan
Ongoing monitoring, fixes, and safe feature work so it stays healthy.
$1,500–$3,000/mo
Ongoing
Common questions
Can't I just ask the AI to fix it?
That's the vibe cycle — each fix introduces a new bug because nothing reviews the whole system. Production needs judgment the model doesn't have.
Isn't it cheaper to rebuild?
Usually not. The audit shows exactly what's salvageable, so you fix what's fragile and keep what works — far cheaper than a rewrite.
Will you lock me into your stack?
No. You keep full ownership of your code and your tools. I make your stack production-grade.
How do I know it's actually broken?
That's what the audit is for. In about 30 minutes I'll usually show you a live hole in your own app.
Get it audited before you scale
If you vibe-coded something and you're about to launch, start with a fixed-price Production-Readiness Audit. It's credited toward your rescue — and in 30 minutes I'll usually show you a live hole in your own app.