Clean up the AI-built app before it becomes a rewrite.
Vibe coding can get a product moving quickly. The risk shows up when every change gets harder, bugs appear in unrelated places, and nobody trusts the structure enough to keep shipping. LOJI helps stabilize the product before momentum turns into a rebuild.
Expected outcomes
- A technical debt map tied to launch and customer risk.
- A cleanup plan for architecture, security, data, tests, and deployment.
- A clear call on what to refactor versus rebuild.
- A path for continued product development after the cleanup pass.
Best fit
Founders whose AI-built app is getting fragile
The demo worked, but every new feature now creates regressions, confusing states, or data problems.
Teams inheriting AI-generated code
You need a senior product engineering team to evaluate what is safe, what is risky, and what should be refactored.
Products with early customer pressure
You cannot pause everything for a blank-slate rewrite, but the current system needs structure before the next launch push.
Technical debt patterns
Copy-pasted architecture
The app may have repeated logic, inconsistent state handling, weak separation between UI and data, or one-off fixes that do not compose.
Invisible security exposure
Generated code can accidentally expose secrets, skip authorization checks, overtrust user input, or create loose API access patterns.
No reliable change path
Without tests, deployment discipline, and a clear ownership model, each improvement becomes a fresh risk.
How LOJI helps
Assess the codebase and product risk
We review the architecture, data flow, authentication, integrations, AI usage, release path, and the product surfaces users rely on.
Prioritize cleanup by business impact
We do not refactor for sport. We target the parts that block launch, threaten data, slow the roadmap, or create support load.
Stabilize while preserving momentum
LOJI can clean up, harden, test, and prepare the app for continued feature work without losing sight of the users you are trying to win.
Common questions before the first call.
What does vibe-coded app cleanup mean?
It means reviewing and stabilizing an app that was built quickly with AI coding tools, especially where architecture, security, testing, or scalability now need professional product engineering attention.
Can LOJI clean up code without stopping feature work?
Usually, yes. The work should be sequenced so the most exposed areas get stabilized first while the roadmap stays honest about what can safely ship.
Is cleanup cheaper than a rebuild?
Sometimes. The audit should answer that directly. Some systems need targeted cleanup, while others are cheaper to rebuild once the product direction is clearer.
Keep moving through the AI launch system.
AI prototype to production
Turn a working AI-built prototype into a product that can handle real users.
AI app security review
Review prompt injection, data leakage, tool permissions, auth, and production exposure.
MVP has users. Now what?
Move from feature shipping to product maturity, support, analytics, and repeatable adoption.
Get a senior review before the app gets harder to change.
Bring the repo, known bugs, launch pressure, and the next features you need. LOJI will help separate urgent cleanup from optional polish.