I run a small team of AI agents building a product together. One agent acts as supervisor — reviews PRs, resolves conflicts, keeps everyone aligned. It works at this scale (3-4 agents) because the supervisor can hold the full context. But I can already see the bottleneck — the supervisor becomes the single point of coordination, same as a human tech lead. The distributed systems framing makes sense. What I'm not sure about is whether the answer is a new formal language, or just better tooling around the patterns human teams already use (code review, specs, tests).