Get your v0 app production-ready.
v0 is exceptional at generating polished Next.js UI fast — which is exactly the problem. The frontend looks production-grade, so it's easy to assume the backend, auth, and data layer behind it are just as solid. Often they aren't there yet at all.
Not sure what's wrong yet? Run a free automated health check on your repo first.
What we see in v0 apps every week
None of this means you built it wrong — it means the AI got you to a working prototype, not a production system.
UI ahead of the backend
A beautiful interface wired to placeholder logic, mock data, or an API that was never hardened for real use.
No real auth layer
Forms and dashboards that look gated often aren't actually enforcing access control server-side.
Data layer not designed for scale
Whatever backend got bolted on to make the UI functional usually wasn't designed for concurrent real users.
No one who owns the full stack
Great frontend, thin backend, and no engineer who can responsibly finish the other half.
Our 4-Stage Senior Vetting Pipeline
We reject 97% of applicants so you never have to gamble your codebase on unproven developers. Read our full vetting standards →
Experience & Background Filter
Minimum 5+ years of shipping production software
We screen past work, verified GitHub repositories, and production systems they’ve built or maintained. No junior developers or prompt-only hobbyists.
Architecture & Security Review
Live technical screening with a Principal Engineer
We evaluate system design, database indexing, auth boundaries, security best practices, and familiarity with AI-accelerated dev ecosystems.
Hands-On AI Rescue Challenge
Fixing a live, messy prototype under pressure
Candidates are given a real-world messy, AI-generated codebase with hidden race conditions, memory leaks, and security holes to triage and repair.
Communication & Ownership Screen
Clarity, reliability, and business empathy
Technical skills are useless without clear communication. We vet their ability to explain complex problems simply and own deadlines independently.
Are you a senior engineer with production rescue experience?
Join our vetted network, get matched with pre-funded projects, and set your own rates.
Real AI apps. Real production rescues.
Here is what happens when senior software craftsmanship meets AI-accelerated MVPs. View all technical case studies →
Bolt.new · Next.js · Supabase
Leaked Service Keys & Open RLS in Fintech MVP
A founder built a financial dashboard in Bolt. The client bundle inadvertently exposed the Supabase service role key, and Row Level Security was disabled — allowing anyone to read other users' financial logs.
The matched Skilancer engineer quarantined the exposed keys, migrated database queries to authenticated Server Actions, instituted granular RLS policies, and added integration tests.
Cursor · Node.js · OpenAI · Redis
Serverless Timeouts & 10x Runaway API Bills
An AI document extractor was crashing on Vercel with 30s serverless timeouts. React re-render loops were firing duplicate LLM API calls, generating $4,000 in unexpected weekly OpenAI charges.
Refactored heavy LLM workflows into an asynchronous background queue with Redis & BullMQ, implemented response streaming, and added response caching and token deduplication.
Lovable · Stripe · PostgreSQL
Duplicate Orders & Checkout Deadlocks
A fast-growing marketplace experienced duplicate order charges and missed subscription upgrades due to non-idempotent Stripe webhook handling and unindexed database queries under load.
Engineered atomic database transactions, added idempotency keys to Stripe webhook handlers, set up PgBouncer connection pooling, and optimized slow Postgres queries with targeted indexes.
Have a messy codebase or scaling bottleneck? Tell us about your app →
Frequently Asked Questions
Everything you need to know about getting help with your app or joining our expert network. View full knowledge base →
Your v0 app deserves an expert, not another prompt.
Tell us what you built. We'll match you with someone who can make it production-grade.