How are you structuring production-ready development with AI coding agents?

A web developer uses AI coding agents daily but struggles with building a reliable system around them for production-ready development. Their current setup includes a knowledge base, reusable rules, automated onboarding, and a structured workflow, aiming for agent replaceability. However, it's cumbersome due to non-deterministic onboarding, growing context, overlapping rules, and manual intervention. The developer seeks insights on structuring this layer in real production projects and asks if a control panel software exists to manage multiple GitHub repositories, assign tasks to agents, run parallel tasks, and review progress, while remaining agent-agnostic and open-source.