Discovery Call
15-minute technical scan of your current stack, priorities, and shipping deadline.
PHASE 0: NOW OPEN
AI tools like Cursor, Lovable, and Replit make building fast. I make it Production-Ready. I harden your security, secure your database, and launch you on a professional Vercel/Supabase stack so you can ship with confidence.
No passwords needed. Just 15 minutes to secure your future.
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> Analyzing AI-generated repository...
> ⚠️ 2 Security leaks found in client-side code.
> ⚠️ Supabase RLS policies are missing.
>
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> [+] Migrating secrets to Vercel...
> [+] Implementing Row Level Security...
> [+] CI/CD Pipeline: [Staging -> Production]
>
> STATUS: 100% SECURE & LIVE. 🚀
No matter where you started your vibe, I provide the professional infrastructure to take it live.
I specialize in the Last Mile. Whether you are exporting from Lovable, syncing Replit to GitHub, or building natively in Cursor, I ensure the transition to a custom domain and a secure DB is seamless.
ZERO-FRICTION ROADMAP
I've stripped away the red tape. No passwords, no complex onboarding, just results.
15-minute technical scan of your current stack, priorities, and shipping deadline.
A clear one-page scope so both sides know exactly what gets fixed and when.
No passwords shared. We work through least-privilege access and safe handoff rules.
Production launch, post-launch checks, and handover docs so you can keep building fast.
Every step is designed to remove friction and get you safely live, fast.
SECURITY AUDIT DEEP DIVE
AI is a great coder, but a poor security officer. I close the doors it leaves open.
Risk: Hardcoded secrets in frontend bundles are easy to scrape and abuse.
Fix: Move secrets from components and client code into encrypted environment variables on Vercel/Railway.
Outcome: Keys are no longer exposed in browser-delivered code.
Risk: Without RLS, users can potentially read or mutate data outside their account scope.
Fix: Implement and test Row Level Security (RLS) policies for reads, writes, and updates by user context.
Outcome: Each user sees only their own data.
Risk: Direct client-side AI keys expose your OpenAI/Anthropic budget to bots and scrapers.
Fix: Wrap model calls behind backend routes with server-side secrets, rate controls, and request validation.
Outcome: Model credentials stay private and billable usage is controlled.
Risk: Direct-to-production changes cause fragile releases and emergency rollbacks.
Fix: Set up a professional staging-to-main workflow with guarded deployment checks and release discipline.
Outcome: You can keep vibe-coding without breaking the live site.
FOUNDING 5
I'm an AI-native engineer building the future of deployment agencies. I know the power of Cursor and Lovable, but I also know the risks. To build a world-class portfolio, I'm helping 5 founders go live for free. In return, I just want a video testimonial to feature on this page. You get a professional infrastructure; I get a case study. Win-win.
Book a quick call and I will map the fastest secure path to launch.