Phase 0: Agents in Production · 40 hours · Python / TypeScript (agents) · Shell (worktree scripts)

Capstone 10 — Multi-Agent Software Engineering Team

The 2026 shape of a multi-agent engineering team has converged: an architect plans, N coders work in parallel worktrees, a reviewer gates, a tester verifies.

Hiring signal: Can build capstone 10 end to end

Introduction

SWE-AF's factory architecture, MetaGPT's role-based prompting, AutoGen 0.4's typed actor graph, Cognition's Devin, and Factory's Droids all landed on it independently. Parallel worktrees convert wall-clock into throughput. Shared state and handoff protocols become the failure surface. The capstone is to build the team, evaluate on SWE-bench Pro, and report which handoffs break and how often.

Phases exercised: P11 · P13 · P14 · P15 · P16 · P17

Type: Capstone Languages: Python / TypeScript (agents), Shell (worktree scripts) Prerequisites: Phase 11 (LLM engineering), Phase 13 (tools), Phase 14 (agents), Phase 15 (autonomous), Phase 16 (multi-agent), Phase 17 (infrastructure) Time: 40 hours

Objective

Learning objectives

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You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.

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