Control-plane answer
An AI software engineering control plane is the authority layer around coding agents. It records project state, allocates bounded work, rejects stale workers, binds evidence and review to exact repository identity, and controls how accepted changes enter the canonical codebase. Agents do the work; the control plane governs the delivery system.
Coding agents reason, edit files and run tools. The control plane determines whether their assignment is current, which dependencies are satisfied and whether their output is eligible for review or integration.
Separating these roles prevents one model from becoming planner, implementer, reviewer and final authority for its own work.
Chat messages disappear, branch names move and workers fail. Database-backed authority records leases, dependencies, evidence and decisions so orchestration can resume from known state.
Fencing tokens prevent an expired worker from publishing a late result as current.
Nexus combines deterministic scheduling, exact-SHA independent review, portable Git repositories and human-controlled release gates.
It coordinates approved hosted or self-hosted models without treating any single model as the project memory.
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