An agent able to change files, run commands and publish software is more than a conversational interface. It already participates in a team’s operating system. The important question shifts from “can the model do it?” to “under which rules may this effect be admitted?”.
Intelligence is not the problem
Models are probabilistic: the same intent can produce different paths. That helps exploration, but becomes risky when an output crosses the boundary between proposal and effect. Without a protocol, context, decision and mutation collapse into one conversation that is difficult to reproduce.
Governance does not remove autonomy. It defines authority. The agent may propose a change; another component validates identity, state, boundaries and evidence before recording it.
Memory that can be verified
Conversation summaries are useful, but they are not an operational source of truth. An append-only record creates an ordered sequence of decisions. Derived projections can answer what is active, completed or blocked without rewriting history.
Review belongs in the workflow
Human or independent review should not be an optional comment after execution. It must be an explicit transition. When complete and approve are separate events, authorship and verification leave distinct receipts.
The outcome is a more mature autonomy: fast where it can be, conservative where failure would be costly, and always able to explain how it reached the current state.