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https://github.com/rudeevelops/fullstack_ai_roadmap

This repository houses a comprehensive React/Next roadmap for developers aspiring to master full-stack development with a focus on AI integration.
https://github.com/rudeevelops/fullstack_ai_roadmap

ai huggingface langchain nextjs react

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This repository houses a comprehensive React/Next roadmap for developers aspiring to master full-stack development with a focus on AI integration.

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README 

        
# 🚀 Full-Stack AI Dev Roadmap 2024



🤖 Refined in Claude 3.5 Sonnet  

🗓️ Last updated: August 2024  

💡 Have suggestions? Create a PR!



> The main idea of this document is to serve as a training document for AI knowledge.



## 1. 🏗️ Foundations

- HTML5, CSS3, and JavaScript ES6+

- Web accessibility and responsive design

- Version control with Git

- Core programming concepts, data structures, algorithms, and software design principles

- SOLID principles and clean code in JavaScript and TypeScript

- Practice FIRST PRINCIPLES understanding and coding: EXPLAINING and describing code at a higher level ("This function does...")



## 2. 🌟 Modern JavaScript and TypeScript

- ES2022+ features and proposals

- TypeScript fundamentals and advanced types (conditional types, mapped types, decorators)

- Asynchronous JavaScript (Promises, async/await)

- Functional programming patterns in JavaScript



## 3. ⚛️ React Mastery

- React 18+ core concepts and hooks

- Design Patterns (industry standards and best practices)

- Advanced hooks (useCallback, useMemo, useRef, useTransition, useDeferredValue)

- React Server Components

- Performance optimization techniques

- Error boundaries

- Higher-order components and render props



## 4. 🚀 Next.js Deep Dive

- Next.js 14+ (App Router, Server Actions, Edge Runtime)

- Server-side rendering (SSR) and static site generation (SSG)

- Incremental Static Regeneration (ISR)

- API Routes and Serverless Functions

- Image and font optimization

- Dynamic imports and code splitting



## 5. 🧠 State Management and Data Fetching

- React Context API

- Redux Toolkit

- Zustand or Jotai

- Server state management with TanStack Query (React Query) or SWR

- Data fetching patterns in Next.js

- Optimistic UI updates



## 6. 🎨 Styling and CSS

- CSS-in-JS (Styled-components, Emotion)

- Tailwind CSS (fundamentals, responsive design, custom configurations)

- Advanced CSS Grid and Flexbox layouts

- CSS Container Queries and :has() selector



## 7. 🧪 Testing and Quality Assurance

- Jest for unit and integration testing

- React Testing Library best practices

- E2E testing with Cypress and Playwright

- Testing authenticated components and routes

- API and database testing

- Storybook for component development and testing



## 8. ⚡ Performance Optimization

- React and Next.js performance best practices

- Lighthouse auditing and optimization

- Code splitting and lazy loading strategies

- Resource hints (preload, prefetch, preconnect)

- Web Workers for performance

- Caching strategies (client-side and server-side)

- Database query optimization



## 9. 🔒 Authentication and Security

- JWT implementation and best practices

- OAuth 2.0 and OpenID Connect

- PKCE for SPAs

- Implementing authentication in Next.js (e.g., NextAuth.js)

- Role-based access control (RBAC)

- XSS prevention techniques

- CSRF protection

- Content Security Policy (CSP)

- Secure storage of tokens (HTTP-only cookies)

- HTTPS and security headers



## 10. 🔙 Backend for Frontend Developers

- RESTful API design principles

- GraphQL basics with Apollo Client

- Serverless functions with Next.js API routes

- Database fundamentals (SQL vs. NoSQL)

- ORM basics (e.g., Prisma)

- Setting up and connecting to databases (e.g., PostgreSQL, MongoDB)

- Data modeling and schema design

- CRUD operations with Prisma in Next.js

- Database migrations



## 11. 🤖 AI Integration for Frontend Developers

- Understanding AI/ML fundamentals (key concepts, terminology)

- AI APIs and services (OpenAI, Hugging Face, Google Cloud AI)

- Hugging Face libraries: huggingface.js and transformers.js

- LangChain.js basics

- TensorFlow.js for in-browser ML

- Integrating AI models into React and Next.js applications

- Handling AI-generated content and user interactions

- Ethical considerations and best practices in AI implementation



## 12. 🗣️ Natural Language Processing (NLP) in Frontend

- Implementing chatbots and conversational interfaces

- Text analysis and sentiment analysis in user interfaces

- Language translation and localization with AI

- Voice recognition and text-to-speech integration



## 13. 👁️ Computer Vision for Web Applications

- Image recognition and classification in the browser

- Implementing facial recognition features

- Object detection and tracking in web apps

- Augmented Reality (AR) basics with WebXR



## 14. 🧠 AI-Enhanced User Experiences

- Personalization and recommendation systems

- Predictive user interfaces

- A/B testing and optimization with machine learning

- Implementing smart search and autocomplete features



## 15. 🖥️ Backend for AI-Powered Applications

- Setting up AI-ready backend services with Next.js

- Serverless functions for AI processing

- Streaming AI responses in real-time

- Caching and optimizing AI model responses



## 16. 💾 Database and Data Management for AI

- Storing and retrieving AI-related data efficiently

- Vector databases for AI applications (e.g., Pinecone, Milvus)

- Managing large datasets for AI training and fine-tuning

- Data privacy and security in AI-powered applications



## 17. 🔄 State Management and Data Fetching for AI Apps

- Managing complex AI-related state in frontend applications

- Efficient data fetching patterns for AI-heavy applications

- Caching strategies for AI responses

- Error handling and fallback strategies in AI integrations



## 18. 🧪 Testing AI-Integrated Applications

- Unit testing AI-enhanced components

- Integration testing with AI services

- Mocking AI responses for consistent testing

- Performance testing AI-heavy applications



## 19. 🚀 Deployment and CI/CD

- Vercel deployment for Next.js

- GitHub Actions for CI/CD

- Environment management

- Monitoring and error tracking (e.g., Sentry)

- Database deployment and management (e.g., Railway, Supabase)

- Scaling considerations for AI-heavy workloads

- Cost optimization for AI service usage



## 20. 🔬 Advanced Concepts

- WebAssembly basics (Introduction to Rust for WebAssembly)

- Progressive Web Apps (Service Workers, offline functionality, push notifications)

- Micro Frontends (Module federation with Webpack 5, implementation in Next.js)

- State Machines and Application Logic (XState for complex UI logic)



## 21. 🌐 Accessibility and Internationalization

- WCAG 2.1 compliance techniques

- Building for screen readers and assistive technologies

- Advanced i18n with react-i18next

- Right-to-left (RTL) layout support



## 22. 🛠️ Build Tools and Development Experience

- Vite for fast development and building

- Webpack 5 module federation

- Turborepo for monorepo management

- Developer tooling (ESLint, Prettier, Husky)



## 23. 🌿 Advanced Git and GitHub

- Git workflow strategies (Trunk Based Development)

- GitHub Actions for CI/CD

- Advanced Git operations (interactive rebase, cherry-picking)



## 24. 🏗️ System Design for Frontend

- Scalable architecture patterns

- Design patterns in React (Compound Components, Render Props)

- Performance considerations at scale

- A/B testing implementation