TauriReactRustTypeScriptClaude

Tauri + React × Claude Prompt Engineering

Stop fighting Claude hallucinations. Generate Tauri + React-aware prompts that produce code your team can actually ship.

❌ Generic AI Output

// ❌ Generic Claude output for Tauri + React
// Missing Tauri conventions
// No error handling, no types
// Ignores React 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 Tauri conventions enforced
// Proper error handling & types
// React best practices included
// Production-ready, zero hallucinations

Real Generated Output

Automated Quality Enforcement

Every prompt includes strict bans and deprecation rules tailored to your Tauri + React + Rust + TypeScript + Claude 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 confuses Tauri with Electron, uses Node.js APIs, and ignores Rust backend command patterns. Claude can hallucinate API signatures and produce overly verbose implementations.

✅ The Solution

AI Prompt Architect Prompts enforce Tauri invoke() commands, Rust state management, and proper IPC between frontend and backend. It provides Claude with constraints and examples that reduce hallucination and enforce concise output.

Frequently Asked Questions

Does it work with Claude?

Yes. AI Prompt Architect generates prompts optimised for Claude, including context formatting and constraint syntax that Claude responds best to.

Can it handle Tauri projects?

Absolutely. Prompts include Tauri-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 for Claude?

It structures prompts with Claude's XML tag format, explicit constraint blocks, and few-shot examples that reduce hallucination. The system leverages Claude's strength with long context by including full schema definitions.

See the difference yourself

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