GitHub's New Copilot Review Settings: When Should AI Check Your App Code?

Описание и применение

Разработчики используют три контрольных точки—дизайн, изменение и выпуск—для эффективного применения AI‑обзоров к коду, используя новые настройки GitHub Copilot.

Задача

Deciding when to trigger AI code reviews for evolving app code to ensure relevant checkpoints are reviewed.

Результат

Adopting checkpoint‑based reviews reduces noise, ensures relevant code is examined, and aligns AI reviews with critical decision points.

Рабочий процесс

• 1. Create a draft pull request and review design shape (checkpoint 1).
• 2. After a consequential push, request a new‑push review to assess the change (checkpoint 2).
• 3. Before release, manually test the user journey and record results (checkpoint 3).
• 4. Use GitHub’s review instruction files to give AI specific guidance.
• 5. Record evidence beside the PR and revisit if new changes occur.

Доказательства

GitHub’s September 23 update to Copilot code review makes that timing more explicit. Personal settings now offer separate automatic review controls for draft pull requests and new pushes, plus a default effort choice between Lite and Balanced.

Источник

GitHub says the new personal page is available across Copilot plans, including Business and Enterprise. A user can choose automatic review for a pull request they create or coauthor, include draft pull requests, and request another review when new commits are pushed.

Источник

GitHub’s review documentation says a previously reviewed pull request is not automatically reviewed again after a push unless new‑push review is configured.

Источник