Fragile code: every new feature breaks the last one
Stalled integrations: payments and auth never got finished
Vibe coding security gaps: user data exposed, no access controls
Untested under load: never validated with real user volume
AI cost exposure: LLM calls with no spend caps or rate limits
The Parallel Track: How We Ship Vibe-Coded MVPs
Prototypes work until real users show up. We harden yours in a parallel production track, while you keep shipping.
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Production-readiness audit
We audit your Replit or Lovable codebase: architecture, security, AI integrations, database, deployment. You get a prioritized risk list and a rebuild-vs-refactor call. Output: a roadmap to private beta.
Stabilization & security hardening
We fix vibe coding security gaps in order of risk: authentication first, then secrets management, data integrity, observability, and performance. Each layer hardens without destabilizing the next.
AI-integration hardening
AI integrations fail in production in ways prototypes never reveal. We add spend caps, rate limits, prompt-injection defenses, and webhook reliability across every LLM integration.
Two-track founder collaboration
You keep shipping. We run a parallel production track and sync through a reviewed Git workflow. No pauses, no handoff chaos.
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Frequently asked questions
FAQ
Not necessarily. Most Replit and Lovable prototypes have large parts worth keeping. We start by identifying what works and what creates risk. Only the unstable or insecure parts get replaced. If a full rewrite is indeed the faster path, we'll communicate that early, during the audit.
Common with vibe-coded projects. Rapid prototypes mix experiments, temporary scripts, and unfinished integrations. We clean up the structure and separate responsibilities so the codebase can be safely extended.
Most Replit projects run on TypeScript, Node.js, React, or Python. We work with those regularly and move them to Replit production infrastructure on AWS: databases, APIs, third-party services, and Lovable app production environments included.
Yes. This is where most vibe-coded MVPs stall, and where AI MVP security gaps are most likely to appear. Payments, auth systems, mobile APIs, external platforms. We complete and stabilize those pieces.
Yes. Lovable and Replit prototypes rarely run on production-grade infrastructure. Before launch we set up cloud infrastructure, CI/CD pipelines, monitoring, and deployment processes.
It depends on the state of the prototype and the complexity of vibe coding security issues. Some projects need a few weeks of stabilization. Others need deeper architectural work before they are ready for real users.
We can start with a production-readiness audit. It gives both sides a clear picture of the work before committing to anything larger.
We’ll get back to you right after reading your message. Thank You!
