AI Tools & Reviews

AI Tools & Reviews AutoGen Tutorial: Building Multi-Agent Conversations with Microsoft's Framework By TechHorizonCityNovember 4, 20263 min read Contents The Core ConceptsInstalling AutoGenA Working Two-Agent Conversationhuman_input_mode Controls How Autonomous It IsCoordinating More Than Two AgentsWhen AutoGen Is the Right ChoiceFrequently Asked Questions Where CrewAI structures multi-agent work around roles and sequential tasks, Microsoft’s AutoGen takes …

AutoGen Tutorial: Building Multi-Agent Conversations with Microsoft’s Framework Read More »

CrewAI takes a specific angle on multi-agent systems: instead of one AI agent trying to do everything, you assemble a “crew” of specialized agents, each with a defined role, that collaborate on a shared goal — closer to how a real team divides work than to a single do-everything assistant. This walks through the core …

CrewAI Tutorial: Building a Multi-Agent AI Team Step by Step Read More »

“AI coding assistant” used to mean autocomplete with better guesses. By 2026 the category split into something genuinely different: agents that read an entire codebase, plan a multi-file change, run the tests, and iterate on failures — largely on their own. Anthropic’s own 2026 Agentic Coding Trends Report calls this shift “repository intelligence”: understanding not …

Claude Code vs. Cursor vs. GitHub Copilot: Comparing AI Coding Agents in 2026 Read More »

A chatbot that gets tricked into saying something embarrassing is a bad look. An AI agent that gets tricked into the same manipulation — but that agent can actually send emails, modify files, or call APIs — is a security incident. That distinction is why prompt injection, a problem that’s existed since the earliest LLM …

Prompt Injection Attacks: The #1 AI Agent Security Threat in 2026 Read More »

Reading about MCP is one thing; building a working server is another. This walks through the minimum real version: a Python MCP server exposing one useful tool, run locally, and connected to an MCP-compatible AI application. No prior MCP experience assumed — if you haven’t read the conceptual overview first, start there for the host/client/server …

How to Build Your First MCP Server: A Step-by-Step Tutorial Read More »

Before MCP, connecting an AI assistant to your own tools meant writing custom integration code for every single tool, every single time — one connector for Slack, a different one for GitHub, another for your database. The Model Context Protocol changes that math: build one MCP server for a tool, and every MCP-compatible AI application …

What Is MCP (Model Context Protocol)? A Practical Guide for Developers Read More »