Multiple AI agents on shared codebases fail to coordinate; graph engineering emerges as solution

According to CIO, multiple AI agents operating on the same codebase are failing to coordinate, causing agents to rebuild completed work, make conflicting changes, and duplicate effort in production. The gap is traced to missing assignment tracking, dependency management, and review workflows. Graph engineering and dependency tracking infrastructure are emerging as solutions to enable multi-agent coordination beyond single-task reliability.