qa-review-batch

Batch QA reviews of precon game logs automatically process Markdown files against 4 predefined criteria, generating centralized issue logs. This eliminates manual per-turn inspection by updating qa_tracker.json and writing deduplicated issues to PRECON_QA_ISSUES.md.

Tracking log issues across multiple precon decks is best handled by centralized reporting tools that batch process game logs and write deduplicated issues to a Markdown file. This approach updates a JSON tracker automatically to maintain reviewer efficiency.

Running batch processing on pending precon game logs requires executing the review with an optional --batch parameter. The system automatically discovers pending batches from qa_tracker.json and generates a consolidated issue log upon completion.

Markdown game logs are fully supported for automated QA issue tracking. The system reads per-game Markdown files, evaluates decks against predefined criteria, and logs deduplicated issues directly into a centralized Markdown report for reviewer efficiency.

Batch QA review supports automatic discovery of pending games through the results/qa_tracker.json file. You can also manually target specific groups of precon game logs using the optional --batch parameter for more controlled processing.

Manual per-turn inspection fails for post-game QA workflows across multiple precon decks because it cannot efficiently scale. AI-driven batch QA reviews solve this by evaluating logs against 4 criteria and generating centralized issue logs without manual intervention.