Use AI coding agents safely in teams by treating them as controlled contributors. Establish shared repository instructions, permission tiers, isolation rules, required checks, and named owners for review and release. Every agent task should have a traceable requester, scope, and acceptance condition.
Classify repositories and data before granting access. Use individual identities or managed service accounts, least-privilege credentials, protected branches, and separate environments. Keep secrets out of prompts and source control. Treat issue text, documentation, retrieved pages, and tool output as untrusted input that can influence an agent. Require approval for network access, dependency changes, migrations, deployment, and destructive commands according to risk. Preserve plans, logs, diffs, tests, and final status. Run deterministic checks independently and keep human merge authority.
Prevent parallel collisions with task ownership and isolated branches or worktrees. Freeze shared contracts before concurrent implementation, and integrate small units frequently. Train reviewers to examine generated code for authorization, data exposure, hidden scope, and unsupported completion claims.
Pilot the policy on low-risk work and audit what actually happened. Update rules from incidents and near misses. Safe team use is not a one-time tool setting; it is a visible engineering process that limits access, exposes failures, and keeps accountable humans at every consequential decision.
