How Three People Built a Working AI Agent in One Night: The Architecture, the Bugs, and What We'd Do Differently

Short summary

Three developers built a multi-agent system in one night by dividing ownership into separate layers and agreeing on function signatures before coding. Real bugs included pinned dependencies not existing on PyPI, reasoning models exhausting token budgets before responding, and async conflicts in Streamlit. Key lessons: test persistence first, keep fake implementations as utilities, separate development and demo environments, and version-control demo data like source code.

• •Team coordination through clear function signatures and layer separation prevented merge conflicts
• •Real production bugs: missing PyPI versions, token budget exhaustion, Streamlit async conflicts
• •Keep fake implementations, separate dev/demo environments, and version-control demo data like source code

Generated with AI, which can make mistakes.