export interface Author {
  name: string;
  role: string;
  avatar: string;
  bio: string;
  twitter?: string;
  linkedin?: string;
}

export interface BlogPost {
  id: number;
  slug: string;
  title: string;
  excerpt: string;
  content: string;
  author: Author;
  date: string;
  readTime: string;
  category: string;
  image: string;
  tags: string[];
}

export const authors: Record<string, Author> = {
  alex: {
    name: 'Alex Chen',
    role: 'AI Research Lead',
    avatar: 'https://images.unsplash.com/photo-1507003211169-0a1dd7228f2d?w=150&h=150&fit=crop&crop=face',
    bio: 'Alex leads our AI research initiatives with 10+ years of experience in machine learning and enterprise software. Previously at Google Brain and OpenAI.',
    twitter: 'alexchen',
    linkedin: 'alexchen',
  },
  sarah: {
    name: 'Sarah Johnson',
    role: 'Cloud Architect',
    avatar: 'https://images.unsplash.com/photo-1494790108377-be9c29b29330?w=150&h=150&fit=crop&crop=face',
    bio: 'Sarah is a certified AWS Solutions Architect with expertise in designing scalable cloud infrastructure. She has helped 50+ enterprises migrate to the cloud.',
    twitter: 'sarahjcloud',
    linkedin: 'sarahjohnson',
  },
  mike: {
    name: 'Mike Torres',
    role: 'Senior Frontend Developer',
    avatar: 'https://images.unsplash.com/photo-1472099645785-5658abf4ff4e?w=150&h=150&fit=crop&crop=face',
    bio: 'Mike is passionate about creating beautiful, accessible web experiences. He specializes in React, TypeScript, and modern CSS frameworks.',
    twitter: 'miketorres',
    linkedin: 'miketorres',
  },
  emily: {
    name: 'Emily Watson',
    role: 'Mobile Development Lead',
    avatar: 'https://images.unsplash.com/photo-1438761681033-6461ffad8d80?w=150&h=150&fit=crop&crop=face',
    bio: 'Emily leads our mobile development team, specializing in cross-platform solutions with React Native and Flutter.',
    twitter: 'emilywatson',
    linkedin: 'emilywatson',
  },
};


 

export const blogPosts: BlogPost[] = [
  {
    id: 1,
    slug: 'future-of-ai-enterprise-software',
    title: 'The Future of AI in Enterprise Software',
    excerpt: 'Discover how artificial intelligence is revolutionizing the way businesses operate and make decisions in the digital age.',
    content: `
## Introduction

Artificial Intelligence is no longer a futuristic concept—it's here, and it's transforming how enterprises operate. From automating routine tasks to providing deep insights from vast amounts of data, AI is becoming an indispensable tool for businesses of all sizes.

## The Current State of Enterprise AI

Today's enterprise AI solutions go far beyond simple automation. Modern AI systems can:

- **Analyze complex patterns** in customer behavior and market trends
- **Predict outcomes** with unprecedented accuracy
- **Automate decision-making** in real-time scenarios
- **Enhance customer experiences** through personalization

### Key Technologies Driving Change

1. **Large Language Models (LLMs)** - Enabling natural language processing at scale
2. **Computer Vision** - Transforming visual data into actionable insights
3. **Reinforcement Learning** - Optimizing complex business processes
4. **Edge AI** - Bringing intelligence closer to data sources

## Real-World Applications

### Customer Service Automation

AI-powered chatbots and virtual assistants are handling up to 80% of routine customer inquiries, freeing human agents to focus on complex issues that require empathy and nuanced understanding.

### Predictive Analytics

Manufacturing companies are using AI to predict equipment failures before they happen, reducing downtime by up to 50% and saving millions in maintenance costs.

### Supply Chain Optimization

AI algorithms are revolutionizing supply chain management by predicting demand fluctuations, optimizing inventory levels, and identifying potential disruptions before they occur.

## Challenges and Considerations

While the potential of AI is immense, enterprises must navigate several challenges:

- **Data Quality** - AI is only as good as the data it's trained on
- **Integration Complexity** - Legacy systems often require significant updates
- **Skill Gaps** - Finding and retaining AI talent remains challenging
- **Ethical Considerations** - Ensuring AI systems are fair and unbiased

## Looking Ahead

The next five years will see AI become even more deeply embedded in enterprise operations. We predict:

- **Autonomous operations** will become standard in many industries
- **AI-human collaboration** will define new workplace dynamics
- **Personalization at scale** will become the norm, not the exception

## Conclusion

The enterprises that embrace AI today will be the leaders of tomorrow. The question is no longer whether to adopt AI, but how to do so strategically and responsibly.
    `,
    author: authors.alex,
    date: '2024-01-15',
    readTime: '8 min read',
    category: 'AI & Machine Learning',
    image: 'https://images.unsplash.com/photo-1677442136019-21780ecad995?w=1200&h=600&fit=crop',
    tags: ['AI', 'Enterprise', 'Machine Learning', 'Digital Transformation'],
  },
  {
    id: 2,
    slug: 'building-scalable-cloud-architecture',
    title: 'Building Scalable Cloud Architecture',
    excerpt: 'Learn the best practices for designing cloud infrastructure that grows with your business needs.',
    content: `
## Why Scalability Matters

In today's digital landscape, the ability to scale your infrastructure quickly and efficiently can be the difference between success and failure. Whether you're handling a sudden surge in traffic or growing steadily over time, your architecture needs to adapt.

## Core Principles of Scalable Architecture

### 1. Design for Failure

Everything fails eventually. The key is to design systems that gracefully handle failures without impacting user experience.

- Implement redundancy at every layer
- Use circuit breakers to prevent cascade failures
- Design for eventual consistency where appropriate

### 2. Embrace Microservices

Breaking your application into smaller, independent services offers numerous benefits:

- **Independent scaling** - Scale only what needs scaling
- **Technology flexibility** - Use the right tool for each job
- **Faster deployments** - Update services without affecting others
- **Team autonomy** - Teams can work independently

### 3. Leverage Managed Services

Cloud providers offer powerful managed services that handle much of the operational burden:

- **Databases** - RDS, Aurora, DynamoDB
- **Caching** - ElastiCache, CloudFront
- **Messaging** - SQS, SNS, EventBridge
- **Compute** - Lambda, ECS, EKS

## Implementation Strategies

### Auto-Scaling Best Practices

Configure your auto-scaling policies to respond to actual demand:

\`\`\`yaml
scaling_policy:
  metric: cpu_utilization
  target: 70%
  scale_up_cooldown: 60s
  scale_down_cooldown: 300s
\`\`\`

### Container Orchestration

Kubernetes has become the standard for container orchestration:

- Use horizontal pod autoscaling
- Implement pod disruption budgets
- Leverage node affinity for optimal placement

## Cost Optimization

Scalability shouldn't break the bank:

- Use spot instances for non-critical workloads
- Implement right-sizing based on actual usage
- Take advantage of reserved capacity for predictable loads

## Monitoring and Observability

You can't scale what you can't measure:

- Implement comprehensive logging
- Use distributed tracing
- Set up proactive alerting

## Conclusion

Building scalable cloud architecture requires careful planning and continuous refinement. Start with solid principles, implement incrementally, and always measure the results.
    `,
    author: authors.sarah,
    date: '2024-01-10',
    readTime: '10 min read',
    category: 'Cloud Solutions',
    image: 'https://images.unsplash.com/photo-1451187580459-43490279c0fa?w=1200&h=600&fit=crop',
    tags: ['Cloud', 'AWS', 'Architecture', 'DevOps', 'Kubernetes'],
  },
  {
    id: 3,
    slug: 'mobile-first-design-principles',
    title: 'Mobile-First Design Principles',
    excerpt: 'Why mobile-first approach is essential for modern web development and how to implement it effectively.',
    content: `
## The Mobile-First Philosophy

Mobile-first design isn't just about making websites work on smaller screens—it's a fundamental shift in how we approach web development. By designing for mobile first, we create experiences that are focused, performant, and accessible.

## Why Mobile-First?

### The Numbers Don't Lie

- **60%+** of web traffic comes from mobile devices
- **Mobile users** are less tolerant of slow, clunky experiences
- **Google prioritizes** mobile-friendly sites in search rankings

### Constraints Drive Innovation

Designing for mobile first forces you to:

- Prioritize content ruthlessly
- Optimize for performance
- Create intuitive, touch-friendly interfaces

## Core Principles

### 1. Content Hierarchy

Every pixel matters on mobile. Ask yourself:

- What's the most important action on this page?
- What content can be hidden or removed?
- How can we streamline the user journey?

### 2. Touch-Friendly Design

Design for fingers, not cursors:

- Minimum touch target size: 44x44 pixels
- Adequate spacing between interactive elements
- Swipe gestures for common actions

### 3. Performance First

Mobile users often have slower connections:

- Optimize images with modern formats (WebP, AVIF)
- Implement lazy loading
- Minimize JavaScript bundle sizes
- Use service workers for offline capability

## Implementation Techniques

### Responsive CSS Strategy

Start with mobile styles, then enhance:

\`\`\`css
/* Mobile first - default styles */
.container {
  padding: 1rem;
  display: flex;
  flex-direction: column;
}

/* Tablet and up */
@media (min-width: 768px) {
  .container {
    padding: 2rem;
    flex-direction: row;
  }
}

/* Desktop */
@media (min-width: 1024px) {
  .container {
    max-width: 1200px;
    margin: 0 auto;
  }
}
\`\`\`

### Progressive Enhancement

Layer functionality for capable devices:

1. Start with semantic HTML
2. Add CSS for visual styling
3. Enhance with JavaScript for interactivity

## Testing Your Mobile Design

- Use real devices, not just emulators
- Test on various network conditions
- Check accessibility with screen readers
- Validate with real users

## Conclusion

Mobile-first design is no longer optional—it's essential. By embracing constraints and focusing on what matters most, you'll create better experiences for all users.
    `,
    author: authors.mike,
    date: '2024-01-05',
    readTime: '7 min read',
    category: 'Web Development',
    image: 'https://images.unsplash.com/photo-1512941937669-90a1b58e7e9c?w=1200&h=600&fit=crop',
    tags: ['Mobile', 'CSS', 'Responsive Design', 'UX', 'Performance'],
  },
  {
    id: 4,
    slug: 'cross-platform-mobile-development',
    title: 'Cross-Platform Mobile Development in 2024',
    excerpt: 'Comparing React Native, Flutter, and other frameworks for building mobile apps that work everywhere.',
    content: `
## The Cross-Platform Landscape

Building native apps for both iOS and Android has traditionally meant maintaining two separate codebases. Cross-platform frameworks promise to change that, but which one should you choose?

## Framework Comparison

### React Native

**Pros:**
- Large community and ecosystem
- JavaScript/TypeScript familiarity
- Hot reloading for fast development
- Access to native modules

**Cons:**
- Performance overhead for complex animations
- Debugging can be challenging
- Some native features require bridging

### Flutter

**Pros:**
- Excellent performance with Dart
- Beautiful, customizable widgets
- Strong Google support
- Great for complex UIs

**Cons:**
- Dart learning curve
- Larger app sizes
- Smaller ecosystem than React Native

## Making the Right Choice

Consider these factors:

1. **Team expertise** - What does your team already know?
2. **App complexity** - How demanding are your UI requirements?
3. **Time to market** - How quickly do you need to ship?
4. **Long-term maintenance** - Who will maintain the app?

## Best Practices

### Code Organization

Keep your codebase maintainable:

- Separate business logic from UI
- Use state management solutions
- Write comprehensive tests

### Performance Optimization

- Profile early and often
- Optimize images and assets
- Use lazy loading for heavy components

## Conclusion

There's no one-size-fits-all answer. Evaluate your specific needs, experiment with both frameworks, and choose based on your team's strengths and project requirements.
    `,
    author: authors.emily,
    date: '2024-01-02',
    readTime: '6 min read',
    category: 'Mobile Development',
    image: 'https://images.unsplash.com/photo-1551650975-87deedd944c3?w=1200&h=600&fit=crop',
    tags: ['Mobile', 'React Native', 'Flutter', 'Cross-Platform'],
  },
  {
    id: 5,
    slug: 'securing-your-cloud-infrastructure',
    title: 'Securing Your Cloud Infrastructure',
    excerpt: 'Essential security practices every organization should implement to protect their cloud resources.',
    content: `
## Cloud Security Fundamentals

Moving to the cloud doesn't mean security becomes someone else's problem. While cloud providers secure the infrastructure, you're responsible for securing what you put on it.

## The Shared Responsibility Model

Understanding who is responsible for what:

- **Cloud Provider**: Physical security, network infrastructure, hypervisor
- **You**: Data, applications, identity management, network configuration

## Essential Security Practices

### 1. Identity and Access Management

- Implement least privilege access
- Use multi-factor authentication everywhere
- Regularly audit and rotate credentials
- Implement role-based access control

### 2. Network Security

- Use private subnets for sensitive resources
- Implement security groups and NACLs
- Enable VPC flow logs
- Use WAF for web applications

### 3. Data Protection

- Encrypt data at rest and in transit
- Implement key management best practices
- Regular backup and disaster recovery testing
- Data classification and handling policies

## Monitoring and Incident Response

- Enable CloudTrail/audit logging
- Set up automated alerting
- Have an incident response plan
- Conduct regular security assessments

## Conclusion

Cloud security is an ongoing process, not a one-time setup. Stay vigilant, keep learning, and always assume you could be targeted.
    `,
    author: authors.sarah,
    date: '2023-12-28',
    readTime: '9 min read',
    category: 'Cloud Solutions',
    image: 'https://images.unsplash.com/photo-1558494949-ef010cbdcc31?w=1200&h=600&fit=crop',
    tags: ['Security', 'Cloud', 'AWS', 'Best Practices'],
  },
  {
    id: 6,
    slug: 'introduction-to-llm-applications',
    title: 'Building Applications with Large Language Models',
    excerpt: 'A practical guide to integrating LLMs like GPT-4 into your applications for real-world use cases.',
    content: `
## The LLM Revolution

Large Language Models have opened up possibilities that seemed like science fiction just a few years ago. From chatbots to code generation, LLMs are transforming how we build software.

## Understanding LLMs

### How They Work

LLMs are trained on vast amounts of text data to predict the next token in a sequence. This simple objective leads to remarkably capable systems that can:

- Generate human-like text
- Answer questions
- Summarize documents
- Write and explain code
- Translate languages

### Limitations to Consider

- **Hallucinations** - LLMs can generate plausible-sounding but incorrect information
- **Context limits** - There's a maximum amount of text they can process
- **Cost** - API calls can add up quickly
- **Latency** - Responses take time to generate

## Practical Applications

### Customer Support

Automate first-line support while maintaining quality:

- Use LLMs to understand customer intent
- Generate helpful responses
- Escalate complex issues to humans

### Content Generation

Speed up content creation:

- Draft marketing copy
- Generate product descriptions
- Create personalized emails

### Code Assistance

Boost developer productivity:

- Code completion and suggestions
- Documentation generation
- Bug explanation and fixes

## Best Practices

### Prompt Engineering

The quality of your prompts directly impacts results:

- Be specific and clear
- Provide context and examples
- Use system prompts to set behavior

### Safety and Guardrails

Protect your users and brand:

- Implement content filtering
- Set up rate limiting
- Monitor for misuse

## Conclusion

LLMs are powerful tools, but they require thoughtful implementation. Start with clear use cases, build incrementally, and always keep the user experience front and center.
    `,
    author: authors.alex,
    date: '2023-12-20',
    readTime: '11 min read',
    category: 'AI & Machine Learning',
    image: 'https://images.unsplash.com/photo-1676299081847-824916de030a?w=1200&h=600&fit=crop',
    tags: ['AI', 'LLM', 'GPT', 'Machine Learning', 'NLP'],
  },
];



export const getPostBySlug = (slug: string): BlogPost | undefined => {
  return blogPosts.find(post => post.slug === slug);
};

export const getRelatedPosts = (currentPost: BlogPost, limit: number = 3): BlogPost[] => {
  return blogPosts
    .filter(post => post.id !== currentPost.id && post.category === currentPost.category)
    .slice(0, limit);
};