Скачать или смотреть Full Stack Roadmap in AI Era

Minimum Full Stack Engineering Skill Set:
1. Frontend Development:
Language: Javascript/Html/CSS;
Framework: React or NextJS;
CI/CD & Hosting: AWS Amplify

2. Backend Development:
Language: Python or Golang
Framework: FastAPI or Gin
IaC(Infra as Code): AWS SAM
Environment: AWS Lambda

3. Data Storage Management:
NoSQL: AWS DynamoDB
Relational Database: AWS RDS
File Storage: AWS S3

4. Deployment & Testing
Containerization: Docker
Deployment: Kubernetes
IaC: AWS services - SAM, ECS, EKS
Testing: Pytest


AI Engineering Skill Set:
1. Domain Knowledge:
LLM: Claude, GPT, Gemini
Data Integration: Embedding, Indexing, Vector DB, Tokenization, Semantic Search
RAG: AI system design pattern to retrieve external knowledge with LLM
MCP: Automate the above data connection and transfer.

2. Framework:
Model hosting, training, and routing: Ollama, OpenRouter, BedRock, SageMaker
Vector Database: LlamaIndex, Vercel, Pinecone
Development: LangChain, Haystack, LlamaIndex, Semantic Kernel

3. Coding Toolkit:
Claude Code, Cursor, ChatGPT, Github Copilot, HuggingFace

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