What’s Best for Building AI Assistants? | REST vs WebSockets vs MCP скачать в хорошем качестве

What’s Best for Building AI Assistants? | REST vs WebSockets vs MCP

You’re building an AI assistant that talks to GitHub, Slack, Jira, and more. Should you use REST APIs? WebSockets? Or the new Model Context Protocol (MCP)? In this video, we explore the architectural tradeoffs behind REST, WebSocket, and MCP — and why each has its own sweet spot: How REST handles basic CRUD and stateless ops Where WebSocket shines with real-time updates Why MCP changes the game for AI-agent integration This is more than just a protocol comparison — it’s a system design lesson on building scalable, intelligent AI tools. 🧠 If you’re building LLM apps, agents, or orchestration layers — this is for you.   / bytemonk   📌 Timestamps 0:00 – Intro: Building an AI Assistant Sounds Easy… Until It Isn’t 0:44 – REST API Approach: Familiar, But Too Fragile 1:06 – The Growing Pain: Too Many Tokens, Errors & Formats 3:00 – Enter WebSockets: Real-Time, Persistent, Bidirectional 3:30 – But Still Not Enough: Format Hell & Custom Protocols 4:02 – Introducing MCP: Standardized AI Integration Layer 6:30 – Write Once, Use Everywhere: Real Example with GitHub + Slack 7:45 – Conclusion: Use REST + WebSocket + MCP Wisely 8:05 – CTA + Subscribe    • System Design Interview Basics      • System Design Questions      • LLM      • Machine Learning Basics      • Microservices      • Emerging Tech   AWS Certification: AWS Certified Cloud Practioner:    • How to Pass AWS Certified Cloud Practition...   AWS Certified Solution Architect Associate:    • How to Pass AWS Certified Solution Archite...   AWS Certified Solution Architect Professional:    • How to Pass AWS Certified Solution Archite...   #REST #WebSocket #MCP #SystemDesign #Bytemonk