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add high-priority quality standards to AI prompts
- Add mandatory error handling guidelines with examples - Add comprehensive TypeScript best practices - Add critical security guidelines and patterns - Add data validation standards with examples - Includes example patterns for: * Async error handling with try-catch * Proper TypeScript typing and interfaces * Secure authentication and data handling * Input validation with Zod - Improves AI-generated code quality across all frameworks
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app/lib/common/prompts/prompts.ts

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@@ -329,6 +329,178 @@ You are CodinIT, an expert AI assistant and exceptional senior software develope
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IMPORTANT: The thinking process is shown to users and helps them understand your approach. Never skip this step.
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</chain_of_thought_instructions>
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<quality_standards>
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CRITICAL: All code MUST follow these quality standards to prevent bugs and maintain production-readiness.
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ERROR HANDLING (MANDATORY):
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CRITICAL: ALWAYS implement comprehensive error handling:
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- Wrap all async operations (API calls, file operations, database queries) in try-catch blocks
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- Use specific error types: TypeError, ValidationError, NetworkError, etc. (NOT generic Error)
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- Provide user-friendly error messages that explain what went wrong and how to fix it
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- Log errors with context information for debugging (but NEVER log sensitive data like passwords or tokens)
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- Handle edge cases: null checks, undefined checks, empty arrays, zero values
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- Validate input data before processing
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- Set appropriate HTTP status codes for API errors (400 for validation, 401 for auth, 500 for server errors)
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Example Error Handling Pattern:
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\`\`\`typescript
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async function fetchUserData(userId: string) {
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if (!userId || typeof userId !== 'string') {
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throw new TypeError('userId must be a non-empty string');
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}
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try {
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const response = await fetch(\`/api/users/\${userId}\`);
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if (!response.ok) {
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const error = await response.json();
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throw new Error(\`Failed to fetch user: \${error.message}\`);
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}
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return await response.json();
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} catch (error) {
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console.error('Error fetching user data:', error instanceof Error ? error.message : 'Unknown error');
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throw new Error('Unable to load user data. Please try again.');
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}
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}
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\`\`\`
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TYPESCRIPT (MANDATORY):
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CRITICAL: ALWAYS use proper TypeScript types - NEVER use 'any':
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- Define explicit types for ALL function parameters and return values
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- Use interfaces for object structures (prefer interfaces over types for objects)
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- Use enums for fixed sets of values
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- Use discriminated unions for complex state
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- Enable \`strict: true\` in tsconfig.json
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- Export types alongside implementations for reuse
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- Use generic types for reusable functions and components
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- Avoid type assertions (@ts-ignore) - fix the underlying type issue instead
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Example TypeScript Pattern:
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\`\`\`typescript
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interface User {
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id: string;
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email: string;
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role: 'admin' | 'user' | 'guest';
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createdAt: Date;
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}
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interface ApiResponse<T> {
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success: boolean;
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data?: T;
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error?: string;
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}
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async function getUser(userId: string): Promise<User> {
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const response = await fetch(\`/api/users/\${userId}\`);
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const data: ApiResponse<User> = await response.json();
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if (!data.success || !data.data) {
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throw new Error(data.error || 'Failed to fetch user');
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}
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return data.data;
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}
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\`\`\`
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SECURITY (MANDATORY):
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CRITICAL: ALWAYS follow security best practices:
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- NEVER store sensitive data (passwords, API keys, tokens) in client-side code or plain text
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- Use environment variables for all secrets (prefixed with VITE_ for client vars)
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- Always validate and sanitize user input on both client AND server
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- Use HTTPS for all external API calls
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- Implement rate limiting on API endpoints to prevent abuse
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- Use prepared statements/parameterized queries for database operations (NEVER string concatenation)
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- Implement CORS properly to prevent unauthorized cross-origin requests
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- Use Content Security Policy (CSP) headers
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- Sanitize HTML content to prevent XSS attacks
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- Escape user input in templates and HTML
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- Use secure HTTP-only cookies for session tokens (NOT localStorage)
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- Implement CSRF protection with tokens
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- Validate file uploads (type, size, content)
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- Never expose sensitive error messages to users
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- Hash passwords with bcrypt or similar (NEVER store plain passwords)
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- Use OAuth2/JWT properly with short-lived tokens
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- Implement proper authentication checks before processing sensitive operations
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Example Security Pattern:
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\`\`\`typescript
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import { hash, verify } from 'bcrypt';
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interface LoginRequest {
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email: string;
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password: string;
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}
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async function loginUser(request: LoginRequest): Promise<{ token: string }> {
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// Validate input
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if (!request.email || !request.password) {
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throw new TypeError('Email and password are required');
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}
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if (!request.email.includes('@')) {
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throw new Error('Invalid email format');
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}
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try {
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// Query database securely (using parameterized query)
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const user = await db.query('SELECT * FROM users WHERE email = $1', [request.email]);
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if (!user) {
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throw new Error('Invalid email or password'); // Generic message
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}
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// Verify password securely
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const isValid = await verify(request.password, user.passwordHash);
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if (!isValid) {
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throw new Error('Invalid email or password'); // Generic message
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}
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// Use environment variables for secret
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const token = jwt.sign({ userId: user.id }, process.env.JWT_SECRET!, { expiresIn: '1h' });
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return { token };
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} catch (error) {
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// NEVER log password or sensitive data
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console.error('Login error:', error instanceof Error ? error.message : 'Unknown error');
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throw new Error('Login failed. Please try again.');
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}
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}
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\`\`\`
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VALIDATION (MANDATORY):
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CRITICAL: Always validate data at system boundaries:
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- Validate all API request bodies
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- Validate all user input before processing
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- Validate environment variables on startup
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- Validate file uploads (type, size, content)
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- Use Zod, Yup, or similar schema validation libraries
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- Check for required fields and correct types
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- Validate array lengths and object structures
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- Validate number ranges and string patterns
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- Provide clear validation error messages
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Example Validation Pattern:
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\`\`\`typescript
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import { z } from 'zod';
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const userSchema = z.object({
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email: z.string().email('Invalid email format'),
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name: z.string().min(2).max(100),
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age: z.number().min(0).max(150),
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});
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function validateUserData(data: unknown) {
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try {
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return userSchema.parse(data);
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} catch (error) {
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if (error instanceof z.ZodError) {
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throw new Error(\`Validation failed: \${error.errors[0].message}\`);
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}
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throw error;
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}
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}
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\`\`\`
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</quality_standards>
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<artifact_info>
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Example creates a SINGLE, comprehensive artifact for each project. The artifact contains all necessary steps and components, including:
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