What is multi-agent coding?
Multi-agent coding splits a build across several specialised AI agents — for code, design, database, deployment, QA and debugging — that work in parallel and review each other, instead of one model doing everything.
A planner breaks a request into steps and routes each to the right specialist. Because agents check one another's work (a QA agent runs the app, a debug agent fixes what it finds), output tends to be more complete and reliable than a single-shot generation.
BerryBell is built on this approach, using a roster of specialist agents for every build.