// AI news · 2026-11-15 · InfoQ
Anthropic Details AI-Powered Code Review for Claude Code
Anthropic details its AI-powered code review process for Claude Code, combining early-stage automated checks with multi-agent AI reviews and risk-based human approvals.
Published 2026-11-15 17:55 (Beijing time)Source InfoQAuto-summarised, fact-checked against source
01Summary
Low-risk changes require no human approval, while high-risk ones need dual review. Review cycles are capped at three rounds to prevent excessive feedback. The process improves efficiency: one-review-pass rate rose from 65% to 78%, and five-or-more-rounds cases dropped from 8.9% to 1.5%. Human reviewers remain responsible for architecture, product direction, and final outcomes.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Automated checks occur early in development using Claude for testing and linting.
- Multi-agent AI reviews with independent verification reduce false positives and improve accuracy.
- Human approval scales by risk: low-risk changes require no review; high-risk need two approvals.
- Review cycles are capped at three rounds to prevent redundant feedback and improve throughput.
03Source
Anthropic Outlines Its AI-Powered Code Review Process for Claude Code
InfoQ · published 2026-11-15 17:55 Beijing time
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