AI-generated app stabilization

Stabilize your AI-generated app for real users, real data, and production delivery.

Senior full-stack technical audits and stabilization sprints for AI-generated apps, Lovable apps, Bolt.new apps, v0 apps, Cursor-generated code, unstable MVPs, React app bugs, and Next.js performance issues.

Main indexing terms: AI generated app, Lovable app, Bolt.new app, v0 app, Cursor generated code, React app bugs, Next.js app performance, codebase cleanup, technical audit.

Audit view

Current working assumptions

Generated UI

Needs validation

Auth flow

High risk

Next.js routes

Performance pass

Deployment

Checklist missing

Fix unstable app behavior and launch-blocking bugs
Clean up Cursor-generated code and duplicated components
Refactor MVP architecture without rewriting everything

Platform-specific fixes

Common failure points.

AI builders are useful for speed. The risk appears later: unclear architecture, incomplete production basics, fragile integrations, hidden security issues, and code that becomes expensive to extend.

Lovable app needs fixing

The prototype works in demo mode, but auth, database rules, deployment, UX, or error handling fail when real users touch it.

Bolt.new app is unstable

The app shipped fast, but generated code is hard to maintain, routes break, dependencies conflict, or production deploys are unreliable.

v0 app needs production engineering

The UI looks good, but the application still needs business logic, validation, accessibility, state handling, and production hardening.

Cursor-generated code needs cleanup

AI-assisted coding created useful features, but the codebase now needs refactoring, tests, clearer architecture, and safer implementation patterns.

Technical audit

Senior full-stack developer judgment for generated apps under production pressure.

The audit identifies failure points, dependency risks, refactor candidates, and the order of implementation work.

Start Audit Scope

Fix unstable app behavior and launch-blocking bugs

Clean up Cursor-generated code and duplicated components

Refactor MVP architecture without rewriting everything

Resolve React app bugs, state issues, and broken UI flows

Improve Next.js app performance, routing, metadata, and rendering

Add validation, error handling, logging, and production checklists

Review authentication, authorization, and data access risks

Create a technical audit with severity, effort, and recommended order

Working approach

Senior full-stack developer judgment for generated apps under production pressure.

The work combines AI-assisted analysis with human engineering decisions across architecture, UX, security, performance, and deployment.

Audit

A written diagnosis of app structure, risks, bugs, performance, and delivery gaps.

Stabilize

Critical React and Next.js fixes, validation, error handling, and codebase cleanup.

Refactor

MVP refactoring that reduces fragility without forcing a full rewrite.

Launch

Production-readiness checklist, deployment notes, and handoff documentation.

Process

Sequence of work.

01

Codebase intake

Share the repository, deployment target, current bugs, business goals, and where the AI-generated app is failing.

02

Technical audit

Hexglyph reviews architecture, React/Next.js structure, generated code quality, security basics, UX, accessibility, and performance.

03

Risk-ranked plan

You receive a prioritized backlog that separates critical fixes, cleanup work, refactoring, and production-readiness tasks.

04

Stabilization sprint

A senior full-stack developer fixes the highest-risk issues and prepares the MVP or AI app for launch, handoff, or scaling.

Indexing language

Search terms used on the page.

These terms are present in visible copy so search systems can map the page to the service being offered.

AI generated app
Lovable app
Bolt.new app
v0 app
Cursor generated code
MVP needs fixing
React app bugs
Next.js app performance
codebase cleanup
technical audit

FAQ

Frequently asked questions.

Can Hexglyph fix a Lovable app that works as a prototype but breaks in production?

Yes. Hexglyph stabilizes Lovable apps by reviewing generated code, auth flows, database access, deployment settings, validation, UX issues, and production-readiness gaps.

Do you work on Bolt.new apps and v0 apps?

Yes. Hexglyph works on Bolt.new apps, v0 apps, and other AI-generated React or Next.js applications that need senior engineering before launch.

Can you clean up Cursor-generated code?

Yes. Hexglyph can audit and refactor Cursor-generated code, reduce duplication, improve structure, fix bugs, add validation, and document the codebase for future development.

What do I get from the technical audit?

You get a clear diagnosis: architecture notes, bug and risk assessment, UX and accessibility findings, Next.js performance issues, security basics, and a prioritized stabilization plan.

Next step

Need technical review or implementation support for an unstable AI app?

Send the repository context and current issues to start with a technical audit or a scoped implementation sprint.