Multi-Agent Coding Isn’t Enough — Agents Need a Commitment Layer

Multi-agent AI coding systems often fail because commitments made during conversation are not formally tracked, leading to duplicated work and incorrect task sequencing. A proposed solution is a "Commitment Ledger," a rule-based system that extracts promises from chat and records them as immutable events. This ledger then checks for conflicts and dependency failures, preventing agents from working on the same task or out of order. While this improves coordination, the system cannot force an agent to actually complete its assigned work or verify its correctness.