twitterapi-io-mcp

# How to Build Twitter Apps with Kiro AI IDE: Complete Integration Guide with TwitterAPI.io Source: https://twitterapi.io/blog/build-twitter-apps-with-kiro-ai-ide ## Sections - How to Build Twitter Apps with Kiro AI IDE: Complete Integration Guide with TwitterAPI.io - Table of Contents - What is Kiro AI IDE? - Key Features of Kiro: - Why Choose Kiro for Twitter API Development? - TwitterAPI.io Advantages - Kiro + TwitterAPI.io Benefits - Getting Started with Kiro and TwitterAPI.io - Prerequisites - Initial Configuration - Complete Tutorial: Building Your First Twitter App - Step 1: Project Initialization with Kiro Specs - Step 2: Kiro-Generated API Integration - Step 3: React Component Generation - Step 4: Kiro Hooks for Quality Assurance - Advanced Features and Best Practices - Rate Limiting Implementation - Real-time Updates with Webhooks - Production Deployment - Docker Configuration - Troubleshooting and Optimization - Common Issues and Solutions - Performance Optimization - Conclusion ## Content What is Kiro AI IDE? Kiro is AWS's groundbreaking AI-powered Integrated Development Environment that represents a paradigm shift in software development. Unlike traditional IDEs that wait for instructions, Kiro acts as an intelligent coding partner that understands your goals and autonomously executes multi-file operations. Why Choose Kiro for Twitter API Development? The combination of Kiro's AI capabilities with TwitterAPI.io's robust infrastructure creates an unparalleled development experience. TwitterAPI.io Advantages ✅ Proven Stability: Over 1,000,000 API calls processed ✅ High Performance: 700ms average response time ✅ Scalable: Up to 200 QPS per client ✅ Cost-Effective: Starting at $0.15/1k tweets ✅ Comprehensive Coverage: Complete Twitter functionality Kiro + TwitterAPI.io Benefits 🚀 Rapid Prototyping: From idea to working Twitter app in minutes 🧠 Intelligent Code Generation: Kiro understands Twitter API patterns 🛡️ Automatic Error Handling: Built-in retry logic and rate limiting ⚙️ Production Optimization: Automated performance and security enhancements Getting Started with Kiro and TwitterAPI.io Prerequisites Download and Install Kiro: Visit kiro.dev and download the installer. Sign in with your AWS Builder ID for enhanced features. TwitterAPI.io Account Setup: Register at TwitterAPI.io , obtain your API credentials, and review the documentation . Initial Configuration A typical project structure might look like this: twitter-app/ ├── src/ │ ├── api/ │ ├── components/ │ └── utils/ ├── tests/ ├── docs/ └── config/ Complete Tutorial: Building Your First Twitter App Let's build a Twitter analytics dashboard that displays user profiles and their recent tweets using Kiro's AI-powered development approach. Open Kiro and start a conversation with the following prompt: I want to build a Twitter analytics dashboard using TwitterAPI.io. The app should: 1. Fetch user profiles by username 2. Display user's recent tweets 3. Show follower/following statistics 4. Include rate limiting and error handling 5. Use React for the frontend with a modern design Base API URL: https://api.twitterapi.io apikey: {your_api_key} Kiro will generate comprehensive specifications, including: # Twitter Analytics Dashboard Specifications ## User Stories - As a user, I want to search for Twitter profiles by username - As a user, I want to view detailed user statistics - As a user, I want to see recent tweets with engagement metrics - As a user, I want the app to handle API errors gracefully ## Technical Requirements - React 18+ with TypeScript - TwitterAPI.io integration with proper authentication - Responsive design for mobile and desktop - Rate limiting compliance (200 QPS max) - Error boundaries and loading states Step 2: Kiro-Generated API Integration Kiro automatically creates the Twitter API service layer: // src/api/twitterService.ts - Generated by Kiro class TwitterAPIService { private baseURL = 'https://api.twitterapi.io'; private apiKey: string; constructor(apiKey: string) { this.apiKey = apiKey; } private async makeRequest<T>(endpoint: string, params?: Record<string, any>): Promise<T> { const url = new URL(`${this.baseURL}${endpoint}`); if (params) { Object.keys(params).forEach(key => url.searchParams.append(key, params[key])); } const response = await fetch(url.toString(), { headers: { 'Authorization': `Bearer ${this.apiKey}`, 'Content-Type': 'application/json' } }); if (!response.ok) { throw new Error(`Twitter API Error: ${response.status}`); } return response.json(); } // Get user info by username - maps to TwitterAPI.io endpoint async getUserInfo(username: string) { return this.makeRequest('/user/info', { username }); } // Get user's recent tweets - uses TwitterAPI.io's user tweets endpoint async getUserTweets(userId: string, limit: number = 20) { return this.makeRequest('/user/tweets', { user_id: userId, limit }); } // Get user followers - leverages TwitterAPI.io's follower endpoint async getUserFollowers(userId: string, limit: number = 100) { return this.makeRequest('/user/followers', { user_id: userId, limit }); } } export default TwitterAPIService; Step 3: React Component Generation Kiro creates a complete React dashboard with a modern design: // src/components/TwitterDashboard.tsx - AI-generated import React, { useState, useCallback } from 'react'; import { TwitterAPIService } from '../api/twitterService'; // ... (interfaces for UserProfile, Tweet) const TwitterDashboard: React.FC = () => { const [username, setUsername] = useState(''); const [userProfile, setUserProfile] = useState<UserProfile | null>(null); const [tweets, setTweets] = useState<Tweet[]>([]); const [loading, setLoading] = useState(false); const [error, setError] = useState<string | null>(null); const twitterAPI = new TwitterAPIService(process.env.REACT_APP_TWITTER_API_KEY!); const searchUser = useCallback(async () => { // ... (search logic) }, [username, twitterAPI]); return ( <div className="min-h-screen bg-gradient-to-br from-blue-50 to-indigo-100 p-6"> {/* ... (JSX for dashboard UI) */} </div> ); }; export default TwitterDashboard; Step 4: Kiro Hooks for Quality Assurance Kiro automatically sets up development hooks to ensure code quality: // .kiro/hooks/api-validation.js - Auto-generated validation hook module.exports = { name: 'TwitterAPI Validation', trigger: 'on_file_save', pattern: 'src/api/**/*.ts', action: async (file, context) => { const content = await context.readFile(file); // Check for proper rate limiting if (content.includes('makeRequest') && !content.includes('rate-limit')) { context.warn('Consider implementing rate limiting for API calls'); } // Validate API key security if (content.includes('apiKey') && content.includes('console.log')) { context.error('API key should not be logged to console'); } } }; Advanced Features and Best Practices Rate Limiting Implementation TwitterAPI.io supports up to 200 QPS per client. Kiro can generate an intelligent rate limiter for you: // src/utils/rateLimiter.ts - Generated by Kiro class RateLimiter { // ... (implementation) } Real-time Updates with Webhooks Leverage TwitterAPI.io's webhook functionality with a Kiro-generated handler: // src/webhooks/twitterWebhook.ts - Kiro-generated import express from 'express'; const app = express(); app.post('/webhook/twitter', (req, res) => { const { event_type, data } = req.body; // ... (handle different event types) res.status(200).send('OK'); }); Production Deployment Kiro automatically generates production-ready configurations. # Dockerfile - Generated by Kiro FROM node:18-alpine WORKDIR /app COPY package*.json ./ RUN npm ci --only=production COPY . . RUN npm run build EXPOSE 3000 CMD ["npm", "start"] Troubleshooting and Optimization Common Issues and Solutions API Rate Limiting: TwitterAPI.io allows 200 QPS. Implement exponential backoff for rate limit errors and use batch endpoints when available. Error Handling: Kiro helps generate robust error handling, checking for specific status codes like 429 (rate limited) or 404 (not found). Performance Optimization Cache frequently accessed user data. Use TwitterAPI.io's batch endpoints for multiple users. Implement pagination for large datasets. Conclusion The combination of Kiro AI IDE and TwitterAPI.io represents the future of API-driven application development. Kiro's intelligent code generation paired with TwitterAPI.io's robust, cost-effective infrastructure enables developers to build production-ready Twitter applications in a fraction of the traditional time. Enterprise-grade public data API that powers your decision-making with real-time social intelligence. We donate a portion of every sale to fund carbon removal technologies. © 2025 twitterapi.io. All rights reserved. This site is unaffiliated with X Corp. (Twitter). ## Lists - Why Choose Kiro for Twitter API Development? - Getting Started with Kiro and TwitterAPI.io - Complete Tutorial: Building Your First Twitter App - Advanced Features and Best Practices - Production Deployment - Troubleshooting and Optimization - Spec-Driven Development: Automated requirements generation and technical design. - Intelligent Hooks: Event-driven automations for code quality and consistency. - Multi-File Context: Seamless editing across entire codebases. - Production-Ready Code: Built-in testing, security, and deployment considerations. - ✅ Proven Stability: Over 1,000,000 API calls processed - ✅ High Performance: 700ms average response time - ✅ Scalable: Up to 200 QPS per client - ✅ Cost-Effective: Starting at $0.15/1k tweets - ✅ Comprehensive Coverage: Complete Twitter functionality - 🚀 Rapid Prototyping: From idea to working Twitter app in minutes - 🧠 Intelligent Code Generation: Kiro understands Twitter API patterns - 🛡️ Automatic Error Handling: Built-in retry logic and rate limiting - ⚙️ Production Optimization: Automated performance and security enhancements - Download and Install Kiro: Visit kiro.dev and download the installer. Sign in with your AWS Builder ID for enhanced features. - TwitterAPI.io Account Setup: Register at TwitterAPI.io , obtain your API credentials, and review the documentation . - API Rate Limiting: TwitterAPI.io allows 200 QPS. Implement exponential backoff for rate limit errors and use batch endpoints when available. - Error Handling: Kiro helps generate robust error handling, checking for specific status codes like 429 (rate limited) or 404 (not found). - Cache frequently accessed user data. - Use TwitterAPI.io's batch endpoints for multiple users. - Implement pagination for large datasets. - 🌱 Stripe Climate Commitment We donate a portion of every sale to fund carbon removal technologies. - Contact Us - Payment - Privacy Policy - Terms of Service - Acceptable Use Policy ## Code ```text twitter-app/ ├── src/ │ ├── api/ │ ├── components/ │ └── utils/ ├── tests/ ├── docs/ └── config/ ``` ```text I want to build a Twitter analytics dashboard using TwitterAPI.io. The app should: 1. Fetch user profiles by username 2. Display user's recent tweets 3. Show follower/following statistics 4. Include rate limiting and error handling 5. Use React for the frontend with a modern design Base API URL: https://api.twitterapi.io apikey: {your_api_key} ``` ```text # Twitter Analytics Dashboard Specifications ## User Stories - As a user, I want to search for Twitter profiles by username - As a user, I want to view detailed user statistics - As a user, I want to see recent tweets with engagement metrics - As a user, I want the app to handle API errors gracefully ## Technical Requirements - React 18+ with TypeScript - TwitterAPI.io integration with proper authentication - Responsive design for mobile and desktop - Rate limiting compliance (200 QPS max) - Error boundaries and loading states ``` ```text // src/api/twitterService.ts - Generated by Kiro class TwitterAPIService { private baseURL = 'https://api.twitterapi.io'; private apiKey: string; constructor(apiKey: string) { this.apiKey = apiKey; } private async makeRequest<T>(endpoint: string, params?: Record<string, any>): Promise<T> { const url = new URL(`${this.baseURL}${endpoint}`); if (params) { Object.keys(params).forEach(key => url.searchParams.append(key, params[key])); } const response = await fetch(url.toString(), { headers: { 'Authorization': `Bearer ${this.apiKey}`, 'Content-Type': 'application/json' } }); if (!response.ok) { throw new Error(`Twitter API Error: ${response.status}`); } return response.json(); } // Get user info by username - maps to TwitterAPI.io endpoint async getUserInfo(username: string) { return this.makeRequest('/user/info', { username }); } // Get user's recent tweets - uses TwitterAPI.io's user tweets endpoint async getUserTweets(userId: string, limit: number = 20) { return this.makeRequest('/user/tweets', { user_id: userId, limit }); } // Get user followers - leverages TwitterAPI.io's follower endpoint async getUserFollowers(userId: string, limit: number = 100) { return this.makeRequest('/user/followers', { user_id: userId, limit }); } } export default TwitterAPIService; ``` ```text // src/components/TwitterDashboard.tsx - AI-generated import React, { useState, useCallback } from 'react'; import { TwitterAPIService } from '../api/twitterService'; // ... (interfaces for UserProfile, Tweet) const TwitterDashboard: React.FC = () => { const [username, setUsername] = useState(''); const [userProfile, setUserProfile] = useState<UserProfile | null>(null); const [tweets, setTweets] = useState<Tweet[]>([]); const [loading, setLoading] = useState(false); const [error, setError] = useState<string | null>(null); const twitterAPI = new TwitterAPIService(process.env.REACT_APP_TWITTER_API_KEY!); const searchUser = useCallback(async () => { // ... (search logic) }, [username, twitterAPI]); return ( <div className="min-h-screen bg-gradient-to-br from-blue-50 to-indigo-100 p-6"> {/* ... (JSX for dashboard UI) */} </div> ); }; export default TwitterDashboard; ``` ```text // .kiro/hooks/api-validation.js - Auto-generated validation hook module.exports = { name: 'TwitterAPI Validation', trigger: 'on_file_save', pattern: 'src/api/**/*.ts', action: async (file, context) => { const content = await context.readFile(file); // Check for proper rate limiting if (content.includes('makeRequest') && !content.includes('rate-limit')) { context.warn('Consider implementing rate limiting for API calls'); } // Validate API key security if (content.includes('apiKey') && content.includes('console.log')) { context.error('API key should not be logged to console'); } } }; ``` ```text // src/utils/rateLimiter.ts - Generated by Kiro class RateLimiter { // ... (implementation) } ``` ```text // src/webhooks/twitterWebhook.ts - Kiro-generated import express from 'express'; const app = express(); app.post('/webhook/twitter', (req, res) => { const { event_type, data } = req.body; // ... (handle different event types) res.status(200).send('OK'); }); ``` ```text # Dockerfile - Generated by Kiro FROM node:18-alpine WORKDIR /app COPY package*.json ./ RUN npm ci --only=production COPY . . RUN npm run build EXPOSE 3000 CMD ["npm", "start"] ``` _Scraped at: 2025-12-18T10:06:04.885Z_