Stakly is an AI-powered platform that builds complete, production-ready web applications in seconds. Simply describe what you want to build, and Stakly generates the entire application with proper code structure, database integration, and deployment-ready setup.

How is Stakly different from ChatGPT or GitHub Copilot?

Unlike ChatGPT or Copilot which help you write code snippets, Stakly builds entire applications from scratch. It generates complete file structures, handles dependencies, sets up databases, and provides a live preview URL instantly.

Do I need coding experience to use Stakly?

No coding experience is required. Stakly is designed for both developers and non-developers. Simply describe your app idea in plain language, and Stakly handles all the technical implementation.

What types of applications can I build with Stakly?

You can build any web application including SaaS platforms, e-commerce sites, dashboards, landing pages, blogs, portfolios, and more. Stakly supports React, Next.js, and full-stack applications with database integration.

AI Development Best Practices: The Complete Guide 2025

Core Principles

1. Clear Requirements: Specific prompts yield better results
2. Iterative Development: Build incrementally, not all at once
3. Code Ownership: Understand and review generated code
4. Security First: Always validate and sanitize
5. Performance Matters: Optimize from the start

1. Prompt Engineering Mastery

The Anatomy of a Perfect Prompt

Prompt Structure Template

1. Context: "Build a [type] application for [audience]"
2. Core Functionality: "The app should [main features]"
3. Technical Stack: "Use [frameworks/libraries]"
4. Data Model: "Include [entities and relationships]"
5. UI/UX: "Design should be [style] with [specific elements]"
6. Constraints: "Must [requirements] and avoid [limitations]"
7. Examples: "Similar to [reference] but with [differences]"

Effective Prompt Examples

❌ Poor Prompt

"Build a task management app"

Too vague, no specifications

✅ Excellent Prompt

"Build a task management app for remote teams with real-time collaboration. Include task boards (Kanban style), user assignments, due dates, priority levels, and comments. Use Next.js with TypeScript, Tailwind CSS for styling, and Supabase for the database. Add real-time updates using websockets. Design should be clean and modern like Linear.app, with a dark mode option. Include email notifications for task assignments and due date reminders."

Specific, detailed, with clear requirements

Advanced Prompting Techniques

1. Reference-Based Prompting

"Create a pricing page similar to Stripe's pricing layout but with toggle for monthly/annual billing, currency selector, and comparison table with feature checkmarks"

2. Constraint-Driven Prompting

"Build a dashboard that loads in under 2 seconds, works offline using service workers, and follows WCAG 2.1 AA accessibility standards"

3. Progressive Enhancement

Start: "Create a blog with posts"
Then: "Add categories and tags to the blog"
Then: "Add search functionality with filters"
Then: "Add an admin panel for content management"

2. Code Organization & Architecture

Project Structure Best Practices

Recommended Structure

/src
  /components     # Reusable UI components
    /ui          # Base components (buttons, cards)
    /features    # Feature-specific components
  /lib           # Utilities and helpers
    /api         # API client functions
    /utils       # Helper functions
    /hooks       # Custom React hooks
  /app           # Next.js app directory
    /api         # API routes
    /(auth)      # Auth group routes
    /(dashboard) # Dashboard group routes
  /types         # TypeScript definitions
  /styles        # Global styles
  /public        # Static assets

Component Design Patterns

1. Single Responsibility Components

Prompt Addition:

"Each component should have a single, clear purpose. Split large components into smaller, reusable pieces. For example, separate UserCard, UserAvatar, and UserStats instead of one large UserProfile component."

2. Props Interface Definition

Always Include:

"Define clear TypeScript interfaces for all component props. Include JSDoc comments for complex props. Make optional props truly optional with sensible defaults."

3. Security Best Practices

Critical Security Checklist

Authentication & Authorization

✅ Implement proper session management
✅ Use secure password hashing (bcrypt/argon2)
✅ Enable MFA for sensitive operations
✅ Implement role-based access control (RBAC)
✅ Add rate limiting to auth endpoints

Data Validation

✅ Validate all inputs on both client and server
✅ Sanitize user-generated content
✅ Use parameterized queries for database operations
✅ Implement CSRF protection
✅ Enable CORS with specific origins

API Security

✅ Use API keys for external services
✅ Implement request signing for sensitive operations
✅ Add request throttling and DDoS protection
✅ Log and monitor suspicious activities
✅ Regular security audits and updates

Security-First Prompting

"Implement secure user authentication with email/password. Include password strength requirements (min 8 chars, uppercase, lowercase, number, special char), account lockout after 5 failed attempts, secure session management with httpOnly cookies, and CSRF protection on all forms."

4. Performance Optimization

Frontend Performance

Image Optimization

• Use Next.js Image component with lazy loading
• Implement responsive images with srcset
• Convert images to WebP format
• Use blur placeholders for better UX

Code Splitting

• Dynamic imports for heavy components
• Route-based code splitting
• Lazy load third-party libraries
• Tree-shake unused code

Caching Strategy

• Implement service workers for offline support
• Use SWR or React Query for data caching
• Set proper cache headers
• Implement CDN for static assets

Backend Performance

Database Optimization Prompts

Include these in your prompts for better performance:

• "Add database indexes on frequently queried columns"
• "Implement pagination for list endpoints (limit 20 per page)"
• "Use database connection pooling"
• "Add Redis caching for frequently accessed data"
• "Optimize N+1 queries with eager loading"

5. Development Workflow

Iterative AI Development Process

The IDEAL Workflow

Initialize

Start with core functionality only

Develop

Add features incrementally

Evaluate

Test and gather feedback

Adjust

Refine based on results

Launch

Deploy when ready

Version Control Best Practices

Git Workflow for AI Development

1. Initial Commit: First AI generation as baseline
2. Feature Branches: Each major addition in separate branch
3. Commit Messages: "AI: [feature]" for AI-generated changes
4. Code Review: Always review AI-generated code before merging
5. Documentation: Document any manual changes to AI code

6. Testing Strategies

AI-Generated Test Requirements

Include in Your Prompts:

"Generate comprehensive tests including unit tests for utilities, integration tests for API endpoints, and component tests for React components. Use Jest and React Testing Library. Aim for 80% code coverage minimum."

Test Categories:

• Unit Tests: Pure functions and utilities
• Integration Tests: API routes and database operations
• Component Tests: UI behavior and interactions
• E2E Tests: Critical user flows

7. Deployment & Monitoring

Production-Ready Checklist

Environment variables properly configuredError tracking implemented (Sentry/LogRocket)Analytics configured (GA/Plausible)Performance monitoring activeAutomated backups configuredSSL certificates and security headersRate limiting and DDoS protectionDatabase backups and recovery plan

8. Common Pitfalls & Solutions

Pitfall: Over-relying on AI

Solution: Always review and understand generated code. AI is a tool, not a replacement for thinking.

Pitfall: Generating too much at once

Solution: Build incrementally. Start with MVP, then add features.

Pitfall: Ignoring error handling

Solution: Always specify error handling in prompts. "Add comprehensive error handling with user-friendly messages"

Pitfall: Poor state management

Solution: Specify state management approach upfront. "Use Zustand for global state management with TypeScript"

Advanced Tips & Tricks

Pro-Level Techniques

1. Context Preservation

Keep a "project context" file with key decisions, architecture choices, and conventions. Reference this in subsequent prompts for consistency.

2. Component Libraries

"Use shadcn/ui components where applicable" or "Follow Material Design 3 guidelines" for consistent, professional UI.

3. Performance Budgets

"Ensure the app scores 90+ on Lighthouse performance, with initial load under 3 seconds on 3G connection"

4. Accessibility Requirements

"Follow WCAG 2.1 AA standards, include keyboard navigation, screen reader support, and proper ARIA labels"

Conclusion

AI development is transforming how we build software, but success requires understanding best practices and applying them consistently. By following these guidelines, you'll create applications that are not just functional, but production-ready, secure, performant, and maintainable.

Remember: AI is a powerful tool that amplifies your capabilities. The quality of output directly correlates with the quality of input and the expertise you bring to reviewing and refining the results.

Start Building with Best Practices

Apply these best practices in your next AI-powered project. Build better, faster, and smarter.

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