Three Developers Built a Multi-Agent AI System Overnight Using Strict Code Ownership
A three-person team built a functioning multi-agent AI system with persistent memory and cost-aware routing in a single overnight session. The key to their success was dividing the project into three independent layers — memory, runtime, and UI/agents — with each developer owning separate files to avoid merge conflicts. Before writing any code, the team agreed on shared function signatures that served as contracts between modules, allowing parallel development using placeholder implementations. Several real bugs emerged during the build, including a non-existent dependency version, a reasoning model that exhausted its token budget before responding, and an async event loop conflict inside Streamlit. The team documented these issues and their fixes as lessons for anyone attempting a similar rapid-build approach.
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