Macroscope turns Markdown into PR gates

This is a compelling bridge between natural-language policy and enforceable CI, especially for standards static analysis cannot express. The main risk is turning subjective AI judgments into merge blockers without careful scoping and cost controls.

• –Each agent is versioned alongside the code it governs, making review rules transparent and auditable
• –File globs let teams target checks at security-sensitive, analytics, accessibility, or architecture-specific code
• –Agents can use integrations such as Sentry, Slack, Jira, Linear, and PostHog to validate production context
• –Setting `conclusion: failure` converts an AI review into a genuine merge gate, raising the bar for precision
• –Usage-based credits and model selection offer flexibility, but frequent broad checks could become expensive