Approvability Upgrades Model, Widens PR Approvals

This pushes AI code review closer to workflow automation: the value is not just finding bugs, but deciding which reviews humans can safely skip.

• –Longer policy support makes repository-specific approval rules more practical for large teams.
• –More permissive defaults could reduce review queues and increase the share of routine PRs cleared automatically.
• –Macroscope still gates approvals on eligibility, correctness, and optional ownership checks, preserving human review for higher-risk changes.
• –Teams should monitor false approvals closely as coverage expands, especially around auth, billing, infrastructure, and schema changes.
• –The update strengthens Macroscope’s position against AI review tools that only leave comments instead of satisfying GitHub approval requirements.