6d ago · 18 min read · Most people who use AI every day are still treating it like a very sophisticated autocomplete. Type a question, read the answer, close the window. The session ends, the context disappears, and tomorro
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May 6 · 9 min read · This is Part 3 of the AI Engineering with TypeScript series. Prerequisites: Part 1 — What is MCP? · Part 2 — MCP Fundamentals Stack: Node.js 20+ · @anthropic-ai/sdk · @modelcontextprotocol/sdk v1.x ·
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May 2 · 5 min read · For two years, AI agents were the "next big thing" that never quite arrived. Demos were impressive. Production deployments were rare. The gap between what agents could do in a controlled demo and what they could do in the real world was enormous. Tha...
Join discussionApr 30 · 7 min read · If you have built a Claude-powered app and added tool use, you already know the problem: the model freezes at the UI level while it reasons and calls tools. Streaming alone fixes text output latency — but streaming with tool use is a different beast....
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Apr 12 · 11 min read · Welcome to Module 6 — the last one. The course has taken you from "what even is AI" in Module 1 to the insides of a transformer in Module 4 and the everyday failure modes of LLMs in Module 5. This final module is about what happens next — where the t...
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Mar 12 · 15 min read · TLDR: These are not competing ideas. They are layers. Tools do one action. MCP standardizes access to actions and resources. LangChain and LangGraph orchestrate calls. Skills package business outcomes
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