Ship AI-generated UI without shipping AI-generated mistakes.

A hardening framework for turning AI-generated code into production-safe features. Specs, prompts, evals, and a repair workflow for Next.js + shadcn/ui + NestJS.

AI generates code fast.
The output isn’t production-safe.

Only 68.3% of AI-generated projects run out of the box.
Hidden dependency gaps and setup drift break real environments.
AI is better at generation than verification.
Models produce code faster than they can check it. Review burden shifts to you.
Consistency drifts across multi-file changes.
Naming, patterns, state handling, and accessibility degrade over multiple features.

Five pillars of AI code hardening

1

Scaffold

Generate feature structure with specs and state matrices

2

Spec

Define every state, validation rule, and acceptance criterion

3

Instruct

Give agents structured prompts with project context

4

Evaluate

Score output on accessibility, types, states, and consistency

5

Repair

Compare AI output against production, document every fix

See what AI gets wrong — and how to fix it

login-form.tsx
  // AI Generated (missing error reset)
- export function LoginForm() {
-   const dispatch = useAppDispatch();

// Production (clears stale errors on mount) + export function LoginForm() { + const dispatch = useAppDispatch(); + useEffect(() => { dispatch(clearError()); }, [dispatch]);

Every example is scored

Auth Flow
A
Accessibility
92
Type Safety
95
State Coverage
88
Dashboard Table
A
Accessibility
90
Type Safety
93
State Coverage
91