YAML manifests for AI developer teams

AI developer team discussions often focus on agent behavior, such as writing code or calling an MCP server. However, a critical preceding layer involves explicitly describing the team via YAML manifests. These manifests define participants, roles, allowed actions, approval points, context sources, and memory scopes. Without these explicit descriptions of handoffs between implementation and validation, systems may still function. Additionally, scaling AI governance for engineering teams requires implementing effective guardrails, budgets, and audit logs to ensure operational stability.