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XYXiao Yaoblog.appliedaihub.orgJun 11 · 18 min read

Memory, Planning, Tools: The Three Pillars Every Serious AI Power User Must Understand

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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TPTushar Patilblog.techtush.inMay 6 · 9 min read

🤖 Building an AI Agent with MCP: Multi-Step Tool Orchestration in TypeScript

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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AKAnup Karanjkarwowhow.hashnode.devMay 2 · 5 min read

The Rise of AI Agents: Why 2026 is the Year of Autonomous AI

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...

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JKJangwook Kimeffloow.hashnode.devApr 30 · 7 min read

Claude Streaming + Tool Use: Build Real-Time Agentic Pipelines

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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RSRahul Sehrawatai-zero-to-hero.hashnode.devApr 12 · 11 min read

Agents — LLMs That Can Do Things

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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AAAbstract Algorithmsabstractalgorithms.devMar 12 · 16 min read

LLM Skills vs Tools: The Missing Layer in Agent Design

TLDR: A tool is a single callable capability (search, SQL, calculator). A skill is a reusable mini-workflow that coordinates multiple tool calls with policy, guardrails, retries, and output structure.

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AAAbstract Algorithmsabstractalgorithms.devMar 12 · 15 min read

Skills vs LangChain, LangGraph, MCP, and Tools: A Practical Architecture Guide

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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#tool-use

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Trending tags this week

Memory, Planning, Tools: The Three Pillars Every Serious AI Power User Must Understand

🤖 Building an AI Agent with MCP: Multi-Step Tool Orchestration in TypeScript

The Rise of AI Agents: Why 2026 is the Year of Autonomous AI

Claude Streaming + Tool Use: Build Real-Time Agentic Pipelines

Agents — LLMs That Can Do Things

LLM Skills vs Tools: The Missing Layer in Agent Design

Skills vs LangChain, LangGraph, MCP, and Tools: A Practical Architecture Guide