A Developer’s Guide to AI in 2025 (all concepts explained)

👉 Use MCP servers easily with Storm MCP - https://stormmcp.ai/home If you’re a programmer, you probably know you should be using AI to stay ahead. You hear about LLMs, MCP servers, and much more. But AI can be overwhelming, we hear all these terms, and there are constantly new stuff coming out that it can feel difficult to keep up with all the things that are happening in the AI for programmers world. So in this video, I will explain all the key terminology of AI that you may often hea but not quite understand so that you have a fundamental understanding of the entire AI space from a programmer’s perspecive. RESOURCES: Great video on LLMs:    • Large Language Models explained briefly   AI Agents explained:    • Automate Your Life With AI Agents - FULL T...   Build your own MCP server: https://modelcontextprotocol.io/docs/... More on embeddings:    • Vector Databases simply explained! (Embedd...   Tools mentioned: Cursor: https://cursor.com/ Augment code: https://www.augmentcode.com/ Warp: https://go.warp.dev/internetmadecoder Codegen: https://codegen.com/ CHAPTERS: 0:00 All the AI concepts developers need to know 1:27 LLMs 3:38 Retrieval Augmented Generation (RAG) 4:56 AI agents 6:25 MCP servers 9:31 Embeddings & vector databases 12:00 Developer AI Toolkit 13:20 How to Use AI Properly Tags: AI for developers 2025, Developer AI guide, Future of AI coding, AI programming trends 2025, GPT-5 for developers, Google Gemini API, AI code generation, AI pair programming, Prompt engineering for devs, AI software architecture, AI agent development, AI debugging tools, AI for code review, AI in DevOps 2025, AI for testing automation, Fine-tuning AI models, RAG development, Vector databases for developers, LLM Ops, AI security for developers, AI ethics in coding, AI developer skills 2025