This session provides an in-depth look at the architecture of multi-agent systems for code generation, emphasizing practical solutions to common data modeling challenges. We’ll explore how focusing on signature data, employing linters, indexing codebases, and utilizing GraphRAG can address issues often faced in agent-driven coding environments. We’ll examine examples where models fall short, and show new concepts that resolve these challenges. You’ll leave with a practical understanding of how multi-agent systems are structured, as well as insights on minimizing bugs and enhancing reliability.