Your AI-built app works in demo.
It breaks in production.
We fix that.
Production engineering for funded startups whose vibe-coded apps cannot handle real users. $10K-$50K engagements. Results in weeks.
THE FAILURE MODES
Every AI-built app fails the same way
It works locally, crashes on deploy
Missing environment configs, hardcoded localhost URLs, SQLite in production, no health checks. The classic vibe-coded deploy failure.
One real user breaks everything
No connection pooling, N+1 queries, unbounded memory, no rate limiting. Your demo with 3 test users looked fine. 50 concurrent users melts it.
Security is an afterthought
API keys in client bundles, no input validation, SQL injection via AI-generated queries, CORS set to wildcard. Every pentest finds critical issues.
AI features are unreliable
No fallbacks for API failures, no token limits, no output validation, hallucinations reach the UI. Your AI feature is a liability, not a feature.
HOW IT WORKS
Three steps to production
Architecture Audit
We read every line. Map every dependency. Run load tests. Identify every failure mode. You get a prioritized fix list in 48 hours.
Production Engineering
We fix the infrastructure: proper CI/CD, database optimization, caching, auth, monitoring, error handling. The boring stuff that keeps apps alive.
Ship & Monitor
Deploy to production with proper observability. Set up alerting. Hand off runbooks. Your app runs without you waking up at 3am.
Helped funded startups ship AI-built apps to production.
From failed deploys to handling thousands of concurrent users.
Frequently Asked Questions
What exactly is production engineering for AI-built apps?+
It's the work between 'it works on my laptop' and 'it handles real users reliably.' We take apps built with Cursor, Lovable, Bolt, or similar AI coding tools and make them production-ready: fixing architecture issues, adding proper error handling, optimizing performance, and implementing security best practices.
How much does an engagement cost?+
Engagements range from $10,000 to $50,000 depending on app complexity, codebase size, and scope of work. Most startups spend $15K-$30K. We scope everything upfront — no hourly billing surprises.
How long does it take?+
Most engagements complete in 2-6 weeks. The audit takes 48 hours. Engineering work depends on scope — a focused performance fix might take a week, while a full architecture overhaul takes 4-6 weeks.
We built with Cursor/Lovable/Bolt. Can you actually fix that?+
Yes. We have worked on 15+ codebases generated by AI coding tools. The failure patterns are predictable: missing error handling, no connection pooling, client-side secrets, N+1 queries, and no deployment configuration. We have playbooks for all of them.
Do we need to throw away our codebase and start over?+
Almost never. We fix what's there. AI-generated code is usually 70-80% correct — the remaining 20% causes 100% of production failures. We identify and fix exactly what's broken without rewriting working code.
What tech stacks do you work with?+
We specialize in the stacks AI tools generate: Next.js, React, Node.js, Python/FastAPI, PostgreSQL, Supabase, Firebase, Vercel, AWS. If an AI coding tool can generate it, we can production-harden it.
What happens after the engagement?+
You get a production-ready app, monitoring dashboards, deployment pipelines, and runbooks. Your team can maintain it going forward. We also offer ongoing advisory retainers if you want continued support.
Stop debugging. Start shipping.
Apply for a strategy call. We will review your codebase, identify every production blocker, and give you a prioritized fix plan.
Apply for Strategy Call