Hive_review: Multi-agent AI code-review loop
One or more reviewer agents review the current diff. Reviewer feedback is sent back to the implementor. The loop repeats until all reviewers return HIVE_REVIEW_STATUS: PASS.
- ▪One or more reviewer agents review the current diff.
- ▪Reviewer feedback is sent back to the implementor.
- ▪The loop repeats until all reviewers return HIVE_REVIEW_STATUS: PASS.
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hive_review ./hive_review \ # Git worktree to review; subdirs normalize to the Git root. --repo-dir /path/to/repo \ # Prompts, responses, ids, logs, transcripts, and status live under --session-dir. --session-dir sessions/my-review \ # One implementor model config from model_config.json. --implementor 'GPT-5.5-xhigh-login' \ # One or more reviewer model configs, comma-separated. --reviewers 'GPT-5.4-xhigh-login,Claude-Opus-4.8-max-login' \ # Pause after --max-rounds review/fix rounds; interactive mode can continue. --max-rounds 5 \ # Optional; omit --prompt to review the current diff. --prompt "Fix the failing parser tests" hive_review automates a multi-agent review loop: An implementor agent writes or fixes code. One or more reviewer agents review the current diff.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.