KotlinKtorExposedCoroutinesCursor AI

Kotlin + Ktor × Cursor AI Prompt Engineering

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

❌ Generic AI Output

// ❌ Generic Cursor AI output for Kotlin + Ktor
// Missing Kotlin conventions
// No error handling, no types
// Ignores Ktor 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 Kotlin conventions enforced
// Proper error handling & types
// Ktor best practices included
// Production-ready, zero hallucinations

Real Generated Output

Automated Quality Enforcement

Every prompt includes strict bans and deprecation rules tailored to your Kotlin + Ktor + Exposed + Coroutines + 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 produces Java-style Kotlin, ignores coroutines, and hallucinate Ktor plugin APIs that don't exist. Cursor's tab-completion often suggests code that ignores project-wide conventions.

✅ The Solution

AI Prompt Architect Prompts enforce idiomatic Kotlin coroutines, Ktor routing DSL, and Exposed transaction blocks. 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 Kotlin projects?

Absolutely. Prompts include Kotlin-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 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.

How do I set up the initial project architecture with these technologies?

Use AI Prompt Architect to generate a scaffold prompt that includes directory structure, configuration files, environment setup, and dependency installation commands tailored to your exact stack combination. The prompt enforces best-practice file organisation from the start.

See the difference yourself

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

Try Kotlin + Ktor + Cursor AI Prompts Free

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Automated Quality Enforcement

Frequently Asked Questions

Technical Deep Dive

See the difference yourself

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