Master AI Integration in Your Apps
Learn to integrate AI into your applications with practical tutorials, code examples, and the latest AI development news.
Everything You Need for AI Development
From beginner tutorials to advanced integration patterns, we cover all aspects of AI development.
React & Next.js Integration
Complete tutorials for integrating OpenAI, Claude, and other AI APIs into React applications with TypeScript support.
API Comparisons & Performance
Side-by-side comparisons of GPT-4, Claude, and Gemini APIs with performance benchmarks and cost analysis.
Production Best Practices
Error handling, rate limiting, token optimization, and security practices for production AI applications.
Production-Ready Code Examples
Every tutorial includes complete, tested code that you can use directly in your projects.
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: process.env.OPENAI_API_KEY,
});
export async function generateResponse(prompt: string) {
try {
const completion = await client.chat.completions.create({
model: "gpt-4",
messages: [{ role: "user", content: prompt }],
temperature: 0.7,
});
return completion.choices[0]?.message?.content;
} catch (error) {
console.error('OpenAI API error:', error);
throw new Error('Failed to generate response');
}
}Featured Articles
Our most popular and comprehensive guides
Latest Articles
Fresh content about AI development
Frequently Asked Questions
Common questions about AI integration and development
How do I get started with AI API integration?
Start with our "Getting Started with GPT-4 API" tutorial. It covers API key setup, basic requests, error handling, and TypeScript integration. You'll have a working AI feature in under 30 minutes.
Which AI API should I choose for my project?
It depends on your use case. GPT-4 excels at general tasks and coding, Claude is great for analysis and safety, while Gemini offers competitive pricing. Check our detailed API comparison guide for specific recommendations.
How do I handle API costs and rate limits?
Implement request caching, token counting, user rate limiting, and choose the right model for your task. Our production best practices guide covers cost optimization strategies that can reduce expenses by 60-80%.
Are these tutorials suitable for production use?
Absolutely! Every code example includes proper error handling, security best practices, TypeScript types, and production-ready patterns. We focus on real-world implementation, not just proof-of-concepts.
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