Build Your First Agent Team: A Step-by-Step Guide

You're using AI coding assistants. You prompt well. You get good results on individual tasks. But every session starts from zero. You re-explain the codebase, re-state the constraints, re-describe the architecture. The agent forgets what it learned yesterday. When you need different types of thinking — research vs. implementation vs. review — you're mashing them into one conversation and getting muddled output. This is the single-agent ceiling. You've hit it. Here's how to break through it. This tutorial walks you through building a minimal agent team: two agents with defined roles, persistent memory, and structured information flow. By the end, you'll have a working team you can run today. The examples use Claude Code, but the patterns work with any LLM that reads files — Cursor, Copilot, Aider, or a custom setup. The Problem a Team Solves Here's the situation that should feel familiar. You have a project — a SaaS app, a data pipeline, an internal tool. You use an AI assistant for dev