If you’ve used AI coding tools before, you know the pattern. You write a prompt, the model misunderstands, you refine it, and you coax better output. Progress depends more on steering the model than on building the software. As projects grow, the challenge stops being “how do I prompt?” and starts becoming “how do I coordinate design, implementation, testing, and review without losing context along the way.” Multi-agent systems are a great way to move past this plateau, but usually require a massive amount of setup. People spend hours building orchestration layers, wiring up frameworks, and configuring vector databases before they can delegate a single task. Squad, an open source project built on GitHub Copilot, initializes a preconfigured AI team directly inside your repository. It is a bet that multi-agent development can be accessible, legible, and useful without requiring heavy orchestration infrastructure or deep prompt engineering expertise.…