Multi-Agent AI Code Review Works Best With Strict Role Separation and Human Sign-off

Fully autonomous AI coding pipelines risk subtle bugs and circular errors when agents share context or working directories, according to a workflow guide published by BetterToken. The proposed approach assigns three distinct roles: an Author agent that implements code, a Reviewer agent that independently inspects diffs, and a human developer who makes the final merge decision. Isolation is enforced at three levels — separate conversation threads, dedicated Git worktrees, and environment-variable-managed credentials — to prevent agents from reinforcing each other's mistakes. The Author agent hands off work via a structured card containing branch details, changed files, verification commands, and known risks, which the Reviewer then evaluates independently. The human engineer reviews the Reviewer's findings, checks for regressions, and manually executes the merge, retaining full architectural ownership throughout the process.