AI frontend repair platform

Fix broken UI with product-grade repair intelligence.

UIRescue AI analyzes real screenshots, frontend code, responsive behavior, and design intent to generate repair plans, patch previews, and launch QA reports.

VisualScreenshot diagnosis
CodeRoot-cause mapping
PatchImplementation preview
QALaunch report
UIRescue AI report preview
Before and after UI repair comparison
UIRescue AI workspace screenshot
Readiness82%
PatchReady
ReactNext.jsTailwind CSSViteCSS ModulesDesign SystemsSaaS DashboardsAI AppsAgency Projects
Real UI images

Original product screens, not placeholder cards.

V5 uses original SVG product images to make the website feel like a real SaaS product instead of a generic landing page.

UIRescue AI workspace dashboard
Workspace depth

Show a believable product interface.

The workspace image includes project navigation, evidence files, a broken screen canvas, severity issues, readiness score, and affected files.

Explore product platform
3D repair layer

Layered workflow visuals for premium product storytelling.

Instead of flat template cards, UIRescue AI V5 uses stacked product layers: workspace, before/after comparison, report preview, floating metrics, and patch context.

Open workspace page
UIRescue AI report preview
Before and after UI repair comparison
UIRescue AI workspace screenshot
Readiness82%
PatchReady
Platform modules

More product options. More real business depth.

The product now explains actual modules needed for a frontend repair platform.

01

Visual Intake

Collect screenshots, design references, URLs, affected breakpoints, browser details, and product notes in one repair session.

02

Screenshot Diff

Compare broken screens with target references to identify layout drift, spacing issues, visual hierarchy problems, and component mismatch.

03

Code Context Mapping

Map visual issues back to React components, Next.js routes, Tailwind utilities, CSS modules, and design tokens.

04

Patch Preview

Preview suggested layout, CSS, Tailwind, accessibility, and component changes before applying them.

05

Launch QA Report

Export a structured report with severity, affected files, root cause, before/after notes, QA checklist, and readiness score.

06

Team Review

Route repair plans through founder, designer, developer, and QA review before merging UI fixes.

Before and after UI repair example
Before / After

Use real interface-style images for UI repair proof.

The comparison image shows actual dashboard repair behavior: clipped UI, overflow, CTA alignment, spacing changes, and final fixed layout.

Solutions

Built for teams shipping serious frontend products.

Every solution card speaks to a real business workflow, not just generic feature text.

Startup MVPs

Fix dashboards, landing pages, pricing screens, onboarding, and investor-demo UI before launch.

Better first impression, fewer embarrassing visual bugs, and clearer launch readiness.

Agencies

Turn client screenshot feedback into structured frontend repair tickets and delivery reports.

Cleaner handoff, faster revision cycles, and more professional client communication.

AI App Builders

Repair AI-generated UI that looks close but breaks across real screens, components, and flows.

Less prototype feeling and more production-grade product experience.

Frontend Teams

Map UI defects to root-cause files, wrappers, tokens, CSS rules, and component decisions.

Less random CSS debugging and faster issue resolution.

Design Systems

Detect spacing, typography, color, and component drift across repeated UI patterns.

More consistent products and fewer design regressions.

Product Teams

Create launch QA evidence before customers, investors, or enterprise buyers see the product.

More confidence before every release.
Full-stack intake

Capture real early-access users from the website.

This form connects to the Next.js backend API and stores requests in local JSON during development.