Meet Your New AI Dev Team: A Real-World Look at GitHub Squad

April 26, 2026

You’ve been using GitHub Copilot to autocomplete lines and write functions faster. That’s great—but what if AI could do more than assist you? What if it could actually work alongside you as a team?

That’s the shift GitHub Squad makes possible.

🤖 Quick Refresher: What Is GitHub Copilot?

If you’re new here, GitHub Copilot is an AI coding assistant built into your editor that suggests code, writes functions, and helps you move faster. Think of it as a really smart autocomplete. Learn more here →

Squad is built on top of Copilot—but instead of a single assistant, you get an entire AI development team.

🧠 What Is GitHub Squad?

Squad is an open-source multi-agent runtime for GitHub Copilot, created by Brady Gaster. The idea is simple: instead of one AI helping you write code, you have a coordinated team of AI agents—each with a distinct role—collaborating on your project together.

Your Squad lives in your repository as a .squad/ folder. Their memory, decisions, and history travel with your code. Clone a repo, and you get an already-onboarded AI team.

Out of the box, Squad gives you:

But the real magic? You can customize this team completely.

🚀 Getting Started

Installing Squad takes about 60 seconds:

npm i -g @bradygaster/squad-cli

Then, inside your repo:

squad init

Squad will prompt you to describe your project and generate your team automatically. That’s it. One install, one command.

🏗️ How I Actually Used It: The EZ Pick Project

Here’s where it gets real.

I was evaluating a project in the market and wanted to build something of my own. Instead of manually writing out a backlog, creating epics, and assigning work—I let Squad do it.

Step 1: Give the Architect a Blueprint

Before Squad touched a single issue, I created a high-level architecture file. Think of it as a charter for the lead agent—tech stack, architecture patterns, folder structure, and the flows I wanted. This is the most important step people skip.

Without this, AI agents hallucinate. With it, every task Squad generates is scoped, directed, and aligned to your actual vision.

“LLMs like structure, they don’t like ambiguity.”

That’s a quote from the Spec-Driven Dev world—but it applies 100% here. If you want to go deeper on that philosophy, I covered it in my Spec-Driven Development post.

Step 2: Generate the Backlog

With the architecture charter in place, Squad analyzed the project and generated the full backlog—epics, issues, and tasks—all pushed directly into GitHub. No sticky notes. No Jira wrangling. No three-hour sprint planning sessions.

The issues came out clean, actionable, and already mapped to the right agents.

Step 3: Let the Team Work

Once the backlog existed, I simply started assigning epics. The agents got to work—building, testing, and iterating in parallel. I wasn’t bottlenecking everything. I was orchestrating.

The workflow looked like this:

Architecture Charter → Backlog Generation → Epic Assignment → Parallel Agent Work → Stage Gate → Merge

✅ The Quality Gate: Where Collaboration Really Shines

Here’s what separates Squad from just “running AI at your code.”

After each epic is complete, nothing merges into main automatically. Instead, it goes through a stage gate:

1. 🏗️ Architect Agent reviews — Does this align with the architecture patterns we agreed on?
2. 🧪 QA Agent reviews — Does this pass tests? Are there edge cases we missed?
3. ✅ Both agents must agree before anything hits main.

This is not “vibe coding and hope for the best.” This is a real quality loop, enforced in code, not just in prompts.

The result? Code ships faster and with more confidence.

📈 The Productivity Case

Here’s the honest breakdown of what changes with Squad:

The productivity win isn’t just speed. It’s the collaborative model—where you’re setting intent and the team is executing, reviewing, and shipping.

💡 Best Practices I’d Recommend

• Write the architecture charter first. Seriously. Don’t skip it. One well-written guidance file pays dividends on every task that follows.
• Start with a small epic. Let Squad show you what it can do before you throw your whole backlog at it.
• Use the QA + Architect stage gate. Don’t disable it to go faster. That gate is your safety net.
• Commit your .squad/ folder. Their memory is version-controlled. This is a feature, not a side effect.

🔮 The Bigger Shift

Most AI tools make you faster. Squad makes your team faster.

That’s a fundamentally different kind of leverage. Instead of AI helping you type more efficiently, you have AI handling entire epics while you focus on the decisions that actually require human judgment—architecture, product direction, and quality.

We’re not at “replace the engineer” territory. We’re at “the engineer who uses Squad can do the work of three.” That’s the real unlock.

Have you tried Squad yet? I’d love to hear how you’re using it—drop me a message on LinkedIn or find me at eitl.ai.