Five-Stage Gated Pipeline Proposed to Prevent AI Assistants from Making Unchecked Code Changes

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A software developer has outlined a five-stage permissioned pipeline designed to prevent AI coding assistants from silently inheriting write and network access when applying code changes. The approach was prompted by an incident where an AI assistant, given broad command-running permissions, repeatedly modified a dependency lockfile during a package upgrade, breaking a deployment build with no clear audit trail of which automated run caused the damage. The proposed pipeline progresses through Scan, Draft, Rehearse, Commit, and Trace stages, with each step carrying strictly scoped permissions and the assistant restricted to read-only observation until a machine-checkable gate approves escalation. Only CI systems or named human operators are permitted to commit changes, and every artifact is stamped with a proposal hash, command list, and permission grant to ensure full traceability. The author argues that enforceable policy objects, rather than carefully worded prompts, are the reliable mechanism for keeping AI-assisted workflows auditable and safe.

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