auto-push

Automating batch note production in a GitHub study repository is handled by a multi-agent pipeline that writes, reviews, and finalizes notes automatically. It coordinates Researcher, Writer, three Reviewers, and Refiner stages to process dozens to hundreds of notes consistently.

Checkpointing for automated note-writing pipelines works by automatically scheduling rounds and saving progress. The system gracefully handles stop signals to pause or resume work without losing completed notes during large-scale study projects.

You can use this multi-agent workflow to generate and push hundreds of study notes automatically. It is designed for large-scale study projects, coordinating batch selection, per-slug context rendering, and git-backed finalization to merge and push updates.

The best way to manage review rounds for automated note generation is using a system with built-in round scheduling and locks. It coordinates three review passes and a refiner stage, maintaining a central queue and graveyard for failures.

Your automated pipeline stops before finishing all batch notes when it encounters a STOP_SIGNAL or a failure. The system uses automatic checkpointing and a graveyard for failures to gracefully handle interruptions and allow resumption later.