What problem does it solve?
It eliminates uncertainty when modifying complex merge-train infrastructure by documenting how GitHub workflows, CI modes, scripts, and failure notifications interact to move code safely from next into active train branches.
Core Features & Use Cases
- Workflow orchestration: Covers the full automation lifecycle for merge-train PR creation, PR body updates, next-to-branches integration, auto-merge, branch recreation, and dequeue failure notifications.
- CI integration details: Explains how merge-train branches map to CI modes, concurrency behavior, instance postfixing, and test history tracking.
- Contributor-facing operational context: Provides a reference for contributor-needed internal details when adjusting merge-train infrastructure logic or debugging edge cases.
Quick Start
Ask the AI to explain how the merge-train automation uses the hourly auto-merge workflow and CI failure checks to decide when a train branch can be merged.