What changed
Custom code review instructions, team standards, MCP config, and repository context point to AI review that follows local constraints.
For distributed global teams, the most valuable asset is not generic review advice but durable standards and exception rules.
Why it matters
AI review is valuable when it consistently executes the team's own standards. Workflow signals matter when they shorten the path from demand to delivery, not merely when they add another tool name to the list.
remote engineering teams, open-source projects, SaaS teams, and outsourced collaboration should use the signal to decide what must be clearer for users, buyers, or operators before the next page, workflow, or offer is shipped.
What to check
Group review rules into security, performance, privacy, maintainability, and product-copy categories.
Keep the test narrow: one low-risk task or tool entry before connecting permissions, logs, failure handling, and human takeover to production.
What needs verifying
If rules are not explicit, AI review becomes noise and engineers learn to ignore it. The original source remains linked so readers can separate the announcement from this site's interpretation.