Lovable builds beautiful prototypes that break when you try to ship. We diagnose the root cause and deliver working production-ready code via GitHub PR within 48 hours.
These are the exact problems Lovable users report when their apps fail to ship.
We do not just patch symptoms — we find and fix the root cause.
AI tools generate code with dependencies that exist locally but are missing from package.json, causing build failures.
Variables set in local .env files are not replicated in production hosting dashboards.
Next.js API routes are not properly exported or have incorrect file naming conventions.
Session tokens are not persisted correctly across requests or expire prematurely.
Image and file paths use absolute URLs that work locally but break in production deployments.
Four steps from broken prototype to production-ready code.
Link your GitHub repository. We support both public and private repos — you control access and revoke it when work is done.
Our engineers analyze your codebase, identify the root causes, and provide a detailed assessment before any work begins.
Receive an instant transparent quote. You approve the scope and pricing before any code is written.
Working production-ready code arrives via GitHub PR within 48 hours. You review, merge, and ship.
Lovable is one of the fastest AI prototyping tools available. It generates impressive UIs quickly, but the generated code often has architecture patterns that work in isolation but fail in real production environments.
Lovable excels at UI but backend patterns like API routes, database schemas, and auth flows are often incomplete or misconfigured.
Fast generation means some edge cases and error states are not fully implemented — we fill those gaps.
Code generated assumes certain environment variables or services exist — we fix those hardcoded assumptions.
AI-generated code often lacks proper error boundaries, loading states, and fallback UI — we add production-grade error handling.