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RedwoodJSPrismaGraphQLReactCursor AI

RedwoodJS × Cursor AI Prompt Engineering

Stop fighting Cursor AI hallucinations. Generate RedwoodJS-aware prompts that produce code your team can actually ship.

❌ Generic AI Output
// ❌ Generic Cursor AI output for RedwoodJS
// Missing RedwoodJS conventions
// No error handling, no types
// Ignores Prisma best practices
function getData() {
  // hallucinated API that doesn't exist
  return fetch('/api/data').then(r => r.json());
}
✅ Prompt Architect Output
// ✅ AI Prompt Architect output
// Full RedwoodJS conventions enforced
// Proper error handling & types
// Prisma best practices included
// Production-ready, zero hallucinations
Real Generated Output

Automated Quality Enforcement

Every prompt includes strict bans and deprecation rules tailored to your RedwoodJS + Prisma + GraphQL + React + Cursor AI stack

strict-bans.md — AI Prompt Architect
# ⛔ STRICT BANS — Enforced Constraints

## Framework Version Enforcement
- **BANNED**: React class components → Use functional components + hooks
- **BANNED**: `componentWillMount`, `componentWillUpdate` → Use `useEffect`
- **BANNED**: `getInitialState` → Use `useState` or `useReducer`
- **BANNED**: `createClass` syntax → Use arrow function components
- **BANNED**: PropTypes runtime validation → Use TypeScript interfaces
- **BANNED**: `defaultProps` static → Use ES6 default parameters

## TypeScript Enforcement
- **BANNED**: `any` type annotations → Use `unknown` + type guards
- **BANNED**: `@ts-ignore` comments → Fix the actual type error
- **BANNED**: Non-null assertions (`!`) → Use optional chaining (?.)
- **BANNED**: `enum` keyword → Use `as const` union types
- **BANNED**: `namespace` declarations → Use ES modules

## Security Constraints
- **BANNED**: `eval()`, `Function()` constructors
- **BANNED**: `innerHTML` assignments → Use `textContent` or sanitise
- **BANNED**: Hardcoded secrets, API keys, or credentials
- **BANNED**: `http://` URLs in production → Enforce `https://`
- **BANNED**: `*` CORS origins in production → Whitelist domains
- **BANNED**: SQL string concatenation → Use parameterised queries
- **BANNED**: `localStorage` for auth tokens → Use httpOnly cookies

## State Management
- **BANNED**: Prop drilling beyond 2 levels → Use Context or Zustand
- **BANNED**: `useEffect` for data fetching → Use React Query / SWR
- **BANNED**: Mutable state mutations → Use immutable update patterns
- **BANNED**: Global mutable variables → Use React state or stores

## API & Data Patterns
- **BANNED**: `fetch` without error handling → Wrap in try/catch
- **BANNED**: Untyped API responses → Define response interfaces
- **BANNED**: `console.log` in production → Use structured logger
- **BANNED**: Synchronous file I/O → Use async/await patterns
- **BANNED**: Unbounded `.find()` / `.filter()` on large arrays → Use Map/Set

## CSS & Styling
- **BANNED**: Inline styles for layout → Use CSS modules or Tailwind
- **BANNED**: `!important` overrides → Fix specificity properly
- **BANNED**: Fixed pixel breakpoints → Use relative units (rem/em)
- **BANNED**: `z-index` values > 100 → Use a z-index scale system
The Problem

AI ignores RedwoodJS cells pattern, produces raw GraphQL queries, and skips service-layer validation. Cursor's tab-completion often suggests code that ignores project-wide conventions.

The Solution

AI Prompt Architect Prompts enforce Redwood Cells (Loading/Empty/Failure/Success), SDL-first GraphQL, and service layer patterns. It constrains Cursor to your exact project patterns via .cursorrules and structured prompt context.

Frequently Asked Questions

Does it work with Cursor AI?
Yes. AI Prompt Architect generates prompts optimised for Cursor AI, including context formatting and constraint syntax that Cursor AI responds best to.
Can it handle RedwoodJS projects?
Absolutely. Prompts include RedwoodJS-specific conventions, API patterns, and best practices to eliminate common hallucinations.
Is there a free tier?
Yes — generate up to 5 prompts per day for free. Pro tier unlocks unlimited generations, team sharing, and advanced templates.

Technical Deep Dive

How does AI Prompt Architect handle React Server Components vs Client Components?
Prompts include explicit "use client" / "use server" boundary annotations, ensuring AI-generated code correctly separates server-side data fetching from interactive client logic. The constraint engine enforces proper import boundaries.
Can it generate prompts for React 19 concurrent features?
Yes — prompts encode useTransition, useDeferredValue, and Suspense boundary patterns. The system constrains AI output to avoid deprecated lifecycle methods and ensures proper concurrent-safe state updates.
How does AI Prompt Architect optimise prompts specifically for Cursor AI?
It generates .cursorrules files and structured prompt context that Cursor reads automatically. This includes project-specific conventions, import patterns, and file organisation rules that persist across sessions.

See the difference yourself

Stop wasting time fixing AI-generated RedwoodJS code. Start with the right prompt.

Try RedwoodJS + Cursor AI Prompts Free

Zod response validation catches 99.5% of LLM schema deviations before they reach application logic, preventing 15-25 pro.Vercel, 'AI SDK: Generating Structured Data' docum…